CSIC Innovation and Knowledge Centre Phase 2
Lead Research Organisation:
University of Cambridge
Department Name: Engineering
Abstract
Globally, national infrastructure is facing significant challenges:
- Ageing assets: Much of the UK's existing infrastructure is old and no longer fit for purpose. In its State of the Nation Infrastructure 2014 report the Institution of Civil Engineers stated that none of the sectors analysed were "fit for the future" and only one sector was "adequate for now". The need to future-proof existing and new infrastructure is of paramount importance and has become a constant theme in industry documents, seminars, workshops and discussions.
- Increased loading: Existing infrastructure is challenged by the need to increase load and usage - be that number of passengers carried, numbers of vehicles or volume of water used - and the requirement to maintain the existing infrastructure while operating at current capacity.
- Changing climate: projections for increasing numbers and severity of extreme weather events mean that our infrastructure will need to be more resilient in the future.
These challenges require innovation to address them. However, in the infrastructure and construction industries tight operating margins, industry segmentation and strong emphasis on safety and reliability create barriers to introducing innovation into industry practice.
CSIC is an Innovation and Knowledge Centre funded by EPSRC and Innovate UK to help address this market failure, by translating world leading research into industry implementation, working with more than 40 industry partners to develop, trial, provide and deliver high-quality, low cost, accurate sensor technologies and predictive tools which enable new ways of monitoring how infrastructure behaves during construction and asset operation, providing a whole-life approach to achieving sustainability in an integrated way. It provides training and access for industry to source, develop and deliver these new approaches to stimulate business and encourage economic growth, improving the management of the nation's infrastructure and construction industry.
Our collaborative approach, bringing together leaders from industry and academia, accelerates the commercial development of emerging technologies, and promotes knowledge transfer and industry implementation to shape the future of infrastructure.
Phase 2 funding will enable CSIC to address specific challenges remaining to implementation of smart infrastructure solutions.
Over the next five years, to overcome these barriers and create a self-sustaining market in smart infrastructure, CSIC along with an expanded group of industry and academic partners will:
- Create the complete, innovative solutions that the sector needs by integrating the components of smart infrastructure into systems approaches, bringing together sensor data and asset management decisions to improve whole life management of assets and city scale infrastructure planning; spin-in technology where necessary, to allow demonstration of smart technology in an integrated manner.
- Continue to build industry confidence by working closely with partners to demonstrate and deploy new smart infrastructure solutions on live infrastructure projects. Develop projects on behalf of industry using seed-funds to fund hardware and consumables, and demonstrate capability.
- Generate a compelling business case for smart infrastructure solutions together with asset owners and government organisations based on combining smarter information with whole life value models for infrastructure assets. Focus on value-driven messaging around the whole system business case for why smart infrastructure is the future, and will strive to turn today's intangibles into business drivers for the future.
- Facilitate the development and expansion of the supply chain through extending our network of partners in new areas, knowledge transfer, smart infrastructure standards and influencing policy.
- Ageing assets: Much of the UK's existing infrastructure is old and no longer fit for purpose. In its State of the Nation Infrastructure 2014 report the Institution of Civil Engineers stated that none of the sectors analysed were "fit for the future" and only one sector was "adequate for now". The need to future-proof existing and new infrastructure is of paramount importance and has become a constant theme in industry documents, seminars, workshops and discussions.
- Increased loading: Existing infrastructure is challenged by the need to increase load and usage - be that number of passengers carried, numbers of vehicles or volume of water used - and the requirement to maintain the existing infrastructure while operating at current capacity.
- Changing climate: projections for increasing numbers and severity of extreme weather events mean that our infrastructure will need to be more resilient in the future.
These challenges require innovation to address them. However, in the infrastructure and construction industries tight operating margins, industry segmentation and strong emphasis on safety and reliability create barriers to introducing innovation into industry practice.
CSIC is an Innovation and Knowledge Centre funded by EPSRC and Innovate UK to help address this market failure, by translating world leading research into industry implementation, working with more than 40 industry partners to develop, trial, provide and deliver high-quality, low cost, accurate sensor technologies and predictive tools which enable new ways of monitoring how infrastructure behaves during construction and asset operation, providing a whole-life approach to achieving sustainability in an integrated way. It provides training and access for industry to source, develop and deliver these new approaches to stimulate business and encourage economic growth, improving the management of the nation's infrastructure and construction industry.
Our collaborative approach, bringing together leaders from industry and academia, accelerates the commercial development of emerging technologies, and promotes knowledge transfer and industry implementation to shape the future of infrastructure.
Phase 2 funding will enable CSIC to address specific challenges remaining to implementation of smart infrastructure solutions.
Over the next five years, to overcome these barriers and create a self-sustaining market in smart infrastructure, CSIC along with an expanded group of industry and academic partners will:
- Create the complete, innovative solutions that the sector needs by integrating the components of smart infrastructure into systems approaches, bringing together sensor data and asset management decisions to improve whole life management of assets and city scale infrastructure planning; spin-in technology where necessary, to allow demonstration of smart technology in an integrated manner.
- Continue to build industry confidence by working closely with partners to demonstrate and deploy new smart infrastructure solutions on live infrastructure projects. Develop projects on behalf of industry using seed-funds to fund hardware and consumables, and demonstrate capability.
- Generate a compelling business case for smart infrastructure solutions together with asset owners and government organisations based on combining smarter information with whole life value models for infrastructure assets. Focus on value-driven messaging around the whole system business case for why smart infrastructure is the future, and will strive to turn today's intangibles into business drivers for the future.
- Facilitate the development and expansion of the supply chain through extending our network of partners in new areas, knowledge transfer, smart infrastructure standards and influencing policy.
Planned Impact
The UK is well placed to lead the smart infrastructure revolution, and investment in CSIC's programme to develop and demonstrate innovative, integrated solutions will provide a step change in the UK's capability to deliver solutions which are globally competitive.
CSIC Phase 2 funding will deliver a wide range of impacts in the UK and globally, through addressing the challenges to implementation of smart infrastructure solutions in an industry where innovation is challenging. These impacts can be summarised as follows:
Industry benefits:
CSIC's work will impact through transforming the capability of the industry to deliver smart infrastructure solutions:
- Increased industry confidence to implement smart infrastructure solutions through deployment of technologies and demonstration of their benefits, working with our network of more than 40 industry partners
- Increased industry capability to deliver smart infrastructure solutions through support in developing solutions and services from innovative technologies and solutions - for example current work with Skanska on developing a fibre optic monitoring service, which is projected to deliver a turnover of £1M in its first year
- New business opportunities, generated through networking between industry partners and exploring the potential for application of novel technologies in the infrastructure and construction industries
- Raised industry awareness and confidence in smart infrastructure solutions through training and knowledge transfer, using training courses, secondments, industry-focussed best practice guides and case studies CSIC will transfer knowledge to the infrastructure and construction industries to raise awareness and acceptance of smart infrastructure
- Development of complete smart infrastructure solutions, and the standards required to specify them
Policy makers:
- Insights into the benefits of smart infrastructure solutions, and guidance on what policy or regulation may be required to create the environment for industry uptake
- Development of a 'smart infrastructure standards' roadmap, in collaboration with BSI
Benefits to the public and wider society:
- Widespread uptake in industry of smart infrastructure solutions will result in more reliable infrastructure provision, with better performance and reduced whole life costs alongside increased whole life value. Services will be responsive to user needs and resilient to shocks, returning rapidly to service from interruptions due to events such as severe weather
- The programme will also feed into undergraduate and masters level education, producing the next generation of engineers who will be well-placed to work in the smart infrastructure industry and deliver these solutions
CSIC Phase 2 funding will deliver a wide range of impacts in the UK and globally, through addressing the challenges to implementation of smart infrastructure solutions in an industry where innovation is challenging. These impacts can be summarised as follows:
Industry benefits:
CSIC's work will impact through transforming the capability of the industry to deliver smart infrastructure solutions:
- Increased industry confidence to implement smart infrastructure solutions through deployment of technologies and demonstration of their benefits, working with our network of more than 40 industry partners
- Increased industry capability to deliver smart infrastructure solutions through support in developing solutions and services from innovative technologies and solutions - for example current work with Skanska on developing a fibre optic monitoring service, which is projected to deliver a turnover of £1M in its first year
- New business opportunities, generated through networking between industry partners and exploring the potential for application of novel technologies in the infrastructure and construction industries
- Raised industry awareness and confidence in smart infrastructure solutions through training and knowledge transfer, using training courses, secondments, industry-focussed best practice guides and case studies CSIC will transfer knowledge to the infrastructure and construction industries to raise awareness and acceptance of smart infrastructure
- Development of complete smart infrastructure solutions, and the standards required to specify them
Policy makers:
- Insights into the benefits of smart infrastructure solutions, and guidance on what policy or regulation may be required to create the environment for industry uptake
- Development of a 'smart infrastructure standards' roadmap, in collaboration with BSI
Benefits to the public and wider society:
- Widespread uptake in industry of smart infrastructure solutions will result in more reliable infrastructure provision, with better performance and reduced whole life costs alongside increased whole life value. Services will be responsive to user needs and resilient to shocks, returning rapidly to service from interruptions due to events such as severe weather
- The programme will also feed into undergraduate and masters level education, producing the next generation of engineers who will be well-placed to work in the smart infrastructure industry and deliver these solutions
Organisations
- University of Cambridge, United Kingdom (Collaboration, Lead Research Organisation)
- University of Edinburgh, United Kingdom (Collaboration)
- Tony GEE Consultants, United Kingdom (Collaboration)
- University of Vigo, Spain (Collaboration)
- University of Sydney, Australia (Collaboration)
- University of Khartoum (Collaboration)
- European Federation of Foundation Contractors (Collaboration)
- University of Wollongong, Australia (Collaboration)
- FEBUS Optics (Collaboration)
- University of Dundee, United Kingdom (Collaboration)
- McKinsey & Company (Collaboration)
- OptaSense (Collaboration)
- University of Pretoria (Collaboration)
- Anglian Water Services (Collaboration)
- Peter Brett Associates, United Kingdom (Collaboration)
- Infraestruturas de Portugal (Collaboration)
- National Grid PLC, United Kingdom (Collaboration)
- Bentley Motors (Collaboration)
- University of Oxford, United Kingdom (Collaboration, Project Partner)
- Beijing Information Science & Technology University (Collaboration)
- Arup Group Ltd, United Kingdom (Collaboration, Project Partner)
- British Geological Survey (Collaboration)
- Digital Built Britain (Collaboration)
- Amsterdam University of Applied Sciences (Collaboration)
- African Union Development Agency (Collaboration)
- Hertfordshire County Council (Collaboration)
- Gammon Construction Limited (Collaboration)
- Epsimon (Collaboration)
- Parliament of UK (Collaboration)
- Improbable (Collaboration)
- Diemount GmbH (Collaboration)
- Tensar International Ltd, United Kingdom (Collaboration)
- Cambridgeshire County Council, United Kingdom (Collaboration, Project Partner)
- Sengenia Ltd, United Kingdom (Collaboration, Project Partner)
- University of Southampton, United Kingdom (Collaboration)
- University College London, United Kingdom (Collaboration, Project Partner)
- Topcon (Collaboration)
- Department for Transport, United Kingdom (Collaboration)
- Qualisflow (Collaboration)
- Ferrovial Agroman (Collaboration)
- Historic England, United Kingdom (Collaboration)
- Alan Turing Institute (Collaboration)
- Royal HaskoningDHV (Collaboration)
- Redbite Solutions, United Kingdom (Collaboration, Project Partner)
- Durham University, United Kingdom (Collaboration)
- Transport for London, United Kingdom (Collaboration, Project Partner)
- Splicetec AG (Collaboration)
- Bechtel Corporation (Collaboration)
- Humber Bridge Board, United Kingdom (Collaboration)
- Metro Dynamics (Collaboration)
- DEMO Consultants (Collaboration)
- Norwegian Geotechnical Institute, Norway (Collaboration)
- Silicon Microgravity Ltd. (Collaboration)
- Imperial College London, United Kingdom (Collaboration)
- Atkins UK, United Kingdom (Collaboration)
- Geocisa UK (Collaboration)
- Bentley Systems UK Ltd, United Kingdom (Collaboration)
- Cura Analytica (Collaboration)
- LDA Design (Collaboration)
- European Organization for Nuclear Research (CERN) (Collaboration)
- Keltbray (Collaboration)
- Mouchel Group PLC, United Kingdom (Collaboration)
- EM - Solutions (Collaboration)
- 8 Power Ltd (Collaboration)
- Southbank Centre (Collaboration)
- Geosense (Collaboration)
- Kier Group (Collaboration)
- Myriad Heat and Power Products Ltd (Collaboration)
- B P International Ltd, United Kingdom (Collaboration)
- Brookfield (Collaboration)
- Cam Dragon (Collaboration)
- Dragados (Collaboration)
- Network Rail Ltd, United Kingdom (Collaboration)
- University of California, Berkeley (Collaboration)
- Keller Ltd, United Kingdom (Collaboration)
- National Physical Laboratory NPL, United Kingdom (Collaboration, Project Partner)
- Jacobs Engineering UK Ltd. (Collaboration)
- Transport for West Midlands, Birmingham (Collaboration)
- Herefordshire Council (Collaboration)
- Smith and Wallwork (Collaboration)
- Phi Theta Kappa Honor Society (Collaboration)
- Imetrum (Collaboration)
- Skanska AB (Collaboration)
- Mott Macdonald UK Ltd, United Kingdom (Collaboration, Project Partner)
- Costain Group (Collaboration)
- Centro plc (Collaboration)
- Huesker (Collaboration)
- AECOM Technology Corporation (Collaboration)
- McLaren Applied Technologies (Collaboration)
- Tallinn University of Technology, Estonia (Collaboration)
- Sintela (Collaboration)
- Cornell University (Collaboration)
- Sylex (Collaboration)
- BuroHappold Engineering (Collaboration)
- ITM Soil (Collaboration)
- National Instruments Corp (UK) Ltd, United Kingdom (Collaboration)
- Mistras Group Ltd (Collaboration)
- Ove Arup Foundation (Collaboration)
- Satellite Applications Catapult (Collaboration)
- Laing O'Rourke (Collaboration)
- Severn Trent Water Ltd, United Kingdom (Collaboration)
- INSITU Engineering (Collaboration)
- McLaren Racing (Collaboration)
- CH2M HILL (Collaboration)
- Arcadis NV (Collaboration)
- Jones & Wagener (Collaboration)
- University of Bath, Bath (Collaboration)
- Femtofibertec (Collaboration)
- Aurecon (Collaboration)
- FBGS (Collaboration)
- WSP Group plc (Collaboration)
- Noztek (Collaboration)
- Multiplex Construction (Collaboration)
- Counterest (Collaboration)
- University of Dar es Salaam (Collaboration)
- Thames Water Utilities Limited, READING (Collaboration)
- Hertfordshire Sports Village (Collaboration)
- GE Aviation Systems (Collaboration)
- University of Sheffield, United Kingdom (Collaboration)
- University of Tokyo (Collaboration)
- BAM Nuttall (Collaboration)
- Trimble Inc. (Collaboration)
- Parsons Bakery (Collaboration)
- Crossrail, London (Collaboration)
- Institute for Healthcare Improvement (IHI) (Collaboration)
- Aqua cleansing (Collaboration)
- UtterBerry Ltd (Collaboration)
- Knowledge Transfer Network, Cheltenham (Collaboration)
- Senceive (Collaboration)
- E G Technology (Collaboration)
- Central Alliance (Collaboration)
- Gwynedd Council (Collaboration)
- University of Minho, Portugal (Collaboration)
- Innovactory (Collaboration)
- Planetek Italia (Collaboration)
- FDH Infrastructure Services (Collaboration)
- Institute of Transport Economics (TOI) (Collaboration)
- Skanska UK Ltd, United Kingdom (Collaboration)
- COWI A/S (Collaboration)
- Growing Underground (Collaboration)
- University of Naples (Collaboration)
- High Speed Two HS2 Ltd, United Kingdom (Project Partner)
- AIG Science (Project Partner)
- CIRIA, United Kingdom (Project Partner)
- Rutgers State University of New Jersey, United States (Project Partner)
- University of Tokyo, Japan (Project Partner)
- Laing O'Rourke plc, United Kingdom (Project Partner)
- ITM, United Kingdom (Project Partner)
- McLaren Automotive Ltd (Project Partner)
- Topcon Great Britain Ltd, United Kingdom (Project Partner)
- Environmental Scientifics Group (Project Partner)
- CH2M HILL UNITED KINGDOM, United Kingdom (Project Partner)
- Carillion Plc, United Kingdom (Project Partner)
- Heriot-Watt University, United Kingdom (Project Partner)
- Centro Public Transport, United Kingdom (Project Partner)
- Geothermal International Ltd, United Kingdom (Project Partner)
- Cementation Skanska (Project Partner)
- Omnisense Limited, United Kingdom (Project Partner)
- WSP UK Limited, United Kingdom (Project Partner)
- Future Cities Catapult (Project Partner)
- Mabey Holdings Limited (Project Partner)
- Highways Agency, United Kingdom (Project Partner)
- Buro Happold Limited, United Kingdom (Project Partner)
- EDF Energy Plc, United Kingdom (Project Partner)
- Toshiba Research Europe Ltd, United Kingdom (Project Partner)
- Rolatube Technology Ltd, United Kingdom (Project Partner)
- Tongji University, China (Project Partner)
- GE Aviation, United Kingdom (Project Partner)
- Transport Systems Catapult (Project Partner)
- Costain Ltd, United Kingdom (Project Partner)
- Crossrail Limited, United Kingdom (Project Partner)
- Thales UK Limited (Project Partner)
- Telespazio Vega (Project Partner)
Publications
Lin W
(2019)
Performance Assessment of a Newly Constructed Skewed Half-Through Railway Bridge Using Integrated Sensing
in Journal of Bridge Engineering
Liang Z
(2018)
A Markovian model for power transformer maintenance
in International Journal of Electrical Power & Energy Systems
Liang Z
(2020)
Condition-based maintenance for long-life assets with exposure to operational and environmental risks
in International Journal of Production Economics
Liang Z
(2020)
Predictive group maintenance for multi-system multi-component networks
in Reliability Engineering & System Safety
Liang Z
(2017)
On fault propagation in deterioration of multi-component systems
in Reliability Engineering & System Safety
Lau F
(2018)
The role of statistics in data-centric engineering
in Statistics & Probability Letters
Küsel F
(2018)
Measured temperature effects during the construction of a prestressed precast concrete bridge beam
in MATEC Web of Conferences
Kurien M
(2018)
Real-time simulation of construction workers using combined human body and hand tracking for robotic construction worker system
in Automation in Construction
| Title | "Mixed Reality for Infrastructure " |
| Description | Video on Cambridge University's youtube channel by Brilakis, I., Huethwohl, P. and Kopsida, M. |
| Type Of Art | Film/Video/Animation |
| Year Produced | 2017 |
| Impact | Over 26,000 views (top 10 out of 98 videos in this channel in past year) |
| URL | https://www.youtube.com/watch?v=qmqBE4OA_xM&list=PL7NVHs7Y_TuIq7ViNahxYJnLz-_BMfjrS |
| Description | Work is currently in progress. A partial list of findings is below. A full report will be made available nearer the end of the award. Building on underpinning research at the University of Cambridge, CSIC has been developing fibre optic sensing methods, in particular Distributed fibre optic sensor (DFOS) systems and Fibre Bragg Grating (FBG) systems, for assessing the performance of civil engineering infrastructure. These methods allow measurement of strain and temperature to infer movement, displacement, and cracking, for varied types of structures providing unprecedented spatial resolution. DFOS is ideal for monitoring strain or temperature over distance or area and is particularly useful for detecting phenomena such as cracks and material anomalies for embedded defects than cannot be observed with point sensors. A key research result was a robust innovative optical fibre sensor installation technique for piles, retaining walls and tunnels which was used and refined in a series of case studies, providing important new insights into detailed microstrain soil-structure interaction mechanisms in large, complex civil engineering structures. Specific outputs included: A new understanding of mechanical and thermal behaviour of piles. Theoretical analysis comparing measurements from traditional localised strain devices and DFOS; DFOS has revealed fundamental behaviour of thermal energy piles, proving that their load-bearing capacity is not compromised by thermal cycles. A new data processing and temperature compensation method was produced to calculate strains and ultimately deformation of retaining walls. This was based on detailed measurement of axial and lateral deformation of a secant pile retaining wall using the Cambridge DFOS system. New insights on the flexible behaviour of a Victorian masonry arch tunnel, affected by the construction of a new tunnel located directly below, were obtained from use of DFOS avoiding the potential need for costly remedial measures. The DoEng team applied the same system in Singapore to measure circumferential strains in real time induced by excavating an adjacent twin tunnel. It provided enhanced understanding of lining deformation mechanisms, which is essential for improving future designs of twin tunnel-soil interactions. The DoEng DFOS research proved that the system can reliably measure the behaviour of a variety of tunnel types and showed the advantages of DFOS in accurately measuring continuous strain profiles and in its geometric adaptability. The research has been extended to other structures, particularly masonry arches. A full report of findings will be made available nearer the end of the award. However in the meantime further information can be found in Annual Reviews https://www-smartinfrastructure.eng.cam.ac.uk/news/newsletters |
| Exploitation Route | The engineering, management, maintenance and upgrading of infrastructure requires fresh thinking to minimise use of materials, energy and labour whilst still ensuring resilience. This can only be achieved by a full understanding of the performance of the infrastructure, both during its construction and throughout its design life, through the application of innovative sensor technologies and other emerging technologies. The key aim of CSIC is that emerging technologies from world-leading research at Cambridge will transform the construction industry through a whole-life approach to achieving sustainability in construction and infrastructure in an integrated way. This covers: • design and commissioning • the construction process • exploitation and use • eventual de-commissioning Crucial elements of these emerging technologies are the innovative application of the latest sensor technologies, data management tools, manufacturing processes and supply chain management processes to the construction industry, both during infrastructure construction and throughout its design life. The major objective of CSIC is to integrate these innovations for exploitation and knowledge transfer - something which is new to the UK construction and infrastructure industry. We believe that the outcome will be major transformations in the approaches to the design, construction and use of complex infrastructure leading to step changes in improved health and productivity; a low carbon society; sustainable urban planning and management. There will be a very substantial market for exploitation of these technologies by the construction industry - particularly contractors, specialist instrumentation companies and owners of infrastructure for both domestic and international markets. With our industry partners CSIC is pushing forward new frontiers of technology and innovative management in a sector of the economy which has traditionally had very little investment in research, particularly when compared to sectors such as computing or electronics. CSIC draws on recent research in new techniques, new models of construction and new management approaches. Through this innovation in technology and management, supported by extensive training and development, deep-rooted attitudes and assumptions are being challenged by CSIC with the aim of revolutionizing construction and the public perception of it. |
| Sectors | Communities and Social Services/Policy,Construction,Creative Economy,Digital/Communication/Information Technologies (including Software),Education,Electronics,Energy,Environment,Healthcare,Government, Democracy and Justice,Manufacturing, including Industrial Biotechology,Culture, Heritage, Museums and Collections,Security and Diplomacy,Transport |
| URL | http://www-smartinfrastructure.eng.cam.ac.uk/ |
| Description | Work is currently in progress on this grant, a full report will be made available nearer the end of the award. Additionally, due to the wide scope of CSIC activities, only the briefest description can be given here. For further information please see our CSIC Annual Reviews and at our website http://www-smartinfrastructure.eng.cam.ac.uk/news/newsletters. Business benefits - As a result of the research in fibre optic sensing systems, Cementation Skanska plc have established a new business channel called CemOptics. During the grant period the technology has led to a reduction in the release of CO2 from projects, the installation of 100km of fibre optic cables, and has been used on a number of projects including the GBP1b Northern Line extension. Additionally, Network Rail have deployed the techniques for remote monitoring on 3 bridges, with savings estimated in the millions, and are making a significant investment in monitoring technologies. CSIC partner HS2 are specifying advanced monitoring solutions in many of their tender documents. This is on track to deliver huge benefits via prediction of damage and targeting maintenance. Transport for London (TfL) have saved GBP1m by avoiding unnecessary mitigation costs on one project, alerting staff of potential damage caused by new underground tunnel boring. Impact on industry practice - Technology based on the Cambridge research findings is embedded in Institution of Civil Engineering (ICE) Specification for Piling, and CSIC ICE best practice guides on structural monitoring, are used in many hundreds of organisations. CSIC have key roles on UK national infrastructure bodies driving policy and government investment plans for open information sharing. Spin-outs - Three start-up companies have spun out from CSIC - Epsimon, 8Power, and UtterBerry, creating new jobs and meeting the need for new technologies in the marketplace. |
| Sector | Construction,Digital/Communication/Information Technologies (including Software),Education,Energy,Environment,Government, Democracy and Justice,Manufacturing, including Industrial Biotechology,Culture, Heritage, Museums and Collections,Security and Diplomacy,Transport,Other |
| Description | APESS - CK |
| Geographic Reach | Multiple continents/international |
| Policy Influence Type | Influenced training of practitioners or researchers |
| Description | As Chairman of the Department of Transport's Science Advisory Council, Professor Lord Robert Mair has influenced Department of Transport policy on Artificial Intelligence in Transport |
| Geographic Reach | National |
| Policy Influence Type | Membership of a guideline committee |
| Impact | See above |
| Description | As Chairman of the Department of Transport's Science Advisory Council, Professor Lord Robert Mair has influenced Department of Transport policy on Autonomous Vehicles |
| Geographic Reach | National |
| Policy Influence Type | Membership of a guideline committee |
| Impact | See above |
| Description | As Chairman of the Department of Transport's Science Advisory Council, Professor Lord Robert Mair has influenced Department of Transport policy on Future of Flight |
| Geographic Reach | National |
| Policy Influence Type | Membership of a guideline committee |
| Impact | See above |
| Description | As Chairman of the Department of Transport's Science Advisory Council, Professor Lord Robert Mair has influenced Department of Transport policy on Future of Mobility |
| Geographic Reach | National |
| Policy Influence Type | Membership of a guideline committee |
| Impact | See above |
| Description | As Chairman of the Department of Transport's Science Advisory Council, Professor Lord Robert Mair has influenced Department of Transport policy on Hyperloop |
| Geographic Reach | National |
| Policy Influence Type | Membership of a guideline committee |
| Impact | See above |
| Description | As Chairman of the Department of Transport's Science Advisory Council, Professor Lord Robert Mair has influenced Department of Transport policy on Transport Infrastructure Efficiency Strategy |
| Geographic Reach | National |
| Policy Influence Type | Membership of a guideline committee |
| Impact | See above |
| Description | As Head of CSIC responsible for producing Guidelines for Department of Transport on Condition Monitoring and Intelligent Infrastructure Professor Lord Robert Mair has Influenced systematic reviews, guidelines and policy documents |
| Geographic Reach | National |
| Policy Influence Type | Membership of a guideline committee |
| Impact | See above |
| Description | As a member of the House of Lords Select Committee on Science and Technology, Professor Lord Robert Mair has influenced Government policy on the following topic (through publication of reports): Nuclear Research and Technology (published May 2017) |
| Geographic Reach | National |
| Policy Influence Type | Membership of a guideline committee |
| Impact | See above |
| Description | As a member of the House of Lords Select Committee on Science and Technology, Professor Lord Robert Mair has influenced Government policy on the following topic: Connected and Autonomous Vehicles (published March 2017) |
| Geographic Reach | National |
| Policy Influence Type | Membership of a guideline committee |
| Impact | See above |
| Description | BSI B/555 CB5 Strategic Planning Committee - JMS |
| Geographic Reach | Multiple continents/international |
| Policy Influence Type | Participation in a advisory committee |
| Description | BSI B/555 Committee on Design, Construction & Operational Data & Process Management for the Built Environment - JMS |
| Geographic Reach | Multiple continents/international |
| Policy Influence Type | Participation in a advisory committee |
| Description | CSIC hosted the workshop on Smart Infrastructure for the DFT Scientific Advisory Committee and DFT Agencies |
| Geographic Reach | National |
| Policy Influence Type | Implementation circular/rapid advice/letter to e.g. Ministry of Health |
| Description | Centre for Doctoral Training Sensors Day - JMS presentation |
| Geographic Reach | National |
| Policy Influence Type | Influenced training of practitioners or researchers |
| Description | Chair of Strategic Research Advisory Group, Centre for Digital Built Britain (JMS) |
| Geographic Reach | Local/Municipal/Regional |
| Policy Influence Type | Participation in a advisory committee |
| URL | https://www.cdbb.cam.ac.uk/CDBBResearchBridgehead |
| Description | Chair of the Department for Transport's (DfT's) Science Advisory Council |
| Geographic Reach | National |
| Policy Influence Type | Participation in a advisory committee |
| Description | Chairman of the Department of Transport's Science Advisory Council |
| Geographic Reach | National |
| Policy Influence Type | Participation in a advisory committee |
| Description | Commissioner, Royal Commission for the Exhibition of 1851 |
| Geographic Reach | National |
| Policy Influence Type | Participation in a advisory committee |
| URL | https://www.royalcommission1851.org/about-us/ |
| Description | Council Member in the International Society for Structural Health Monitoring of Intelligent Infrastructure (ISHMII) |
| Geographic Reach | Multiple continents/international |
| Policy Influence Type | Membership of a guideline committee |
| URL | http://www.ishmii.org/new-council-members-introduced/ |
| Description | DFOS training - CK |
| Geographic Reach | Multiple continents/international |
| Policy Influence Type | Influenced training of practitioners or researchers |
| Description | DOFS CERN short course / training CK |
| Geographic Reach | Multiple continents/international |
| Policy Influence Type | Influenced training of practitioners or researchers |
| Description | DOFS sensing short course - CK |
| Geographic Reach | Multiple continents/international |
| Policy Influence Type | Influenced training of practitioners or researchers |
| Description | Digital Catapult Crossrail PitStop - invited speaker - JMS |
| Geographic Reach | Multiple continents/international |
| Policy Influence Type | Participation in a advisory committee |
| Description | Digital Framework Task Group JMS |
| Geographic Reach | National |
| Policy Influence Type | Participation in a advisory committee |
| Description | Digital Transformation Task Group JMS |
| Geographic Reach | National |
| Policy Influence Type | Participation in a advisory committee |
| Description | FBb sensing short course/training CK |
| Geographic Reach | Multiple continents/international |
| Policy Influence Type | Influenced training of practitioners or researchers |
| Description | FINESSE - Commercialising your research training - PK |
| Geographic Reach | Europe |
| Policy Influence Type | Influenced training of practitioners or researchers |
| Description | H2020 short course / training CK |
| Geographic Reach | Multiple continents/international |
| Policy Influence Type | Influenced training of practitioners or researchers |
| Description | HS2 BIM Advisory Group JMS |
| Geographic Reach | National |
| Policy Influence Type | Participation in a advisory committee |
| Description | Highways England Innovation workshop - invited participant - JMS |
| Geographic Reach | Multiple continents/international |
| Policy Influence Type | Participation in a advisory committee |
| Description | House of Lords Augar Review of Post-18 Education and Funding Debate |
| Geographic Reach | National |
| Policy Influence Type | Gave evidence to a government review |
| URL | https://www-smartinfrastructure.eng.cam.ac.uk/news-and-events/head-of-csic-champions-modern-engineer... |
| Description | ICE Asset Management 2015 conference - invited speaker - JMS |
| Geographic Reach | Multiple continents/international |
| Policy Influence Type | Influenced training of practitioners or researchers |
| Description | ICE Council annual strategy meeting - invited speaker and participant JMS |
| Geographic Reach | Multiple continents/international |
| Policy Influence Type | Participation in a advisory committee |
| Description | ICE Triennial Summit - invited speaker - JMS |
| Geographic Reach | Multiple continents/international |
| Policy Influence Type | Participation in a national consultation |
| Description | ISO TC59 SC13 Organization and digitization of information about buildings and civil engineering works - JMS |
| Geographic Reach | Multiple continents/international |
| Policy Influence Type | Participation in a advisory committee |
| Description | IStructE Invited speaker - international conference |
| Geographic Reach | Multiple continents/international |
| Policy Influence Type | Influenced training of practitioners or researchers |
| Description | Innovate UK Innovate 15 - invited speaker - JMS |
| Geographic Reach | Multiple continents/international |
| Policy Influence Type | Participation in a advisory committee |
| Description | Institution of Civil Engineers State of the Nation 2020: Net-Zero |
| Geographic Reach | National |
| Policy Influence Type | Participation in a advisory committee |
| Description | Invited member to the Construction Leadership Council working party on Procuring for Value |
| Geographic Reach | National |
| Policy Influence Type | Participation in a advisory committee |
| Impact | The CLC's objective is to drive industry improvement. It draws together business leaders from across the sector to identify how to promote solutions to meet the ambition of a 33% reduction in cost, a 50% reduction in project time, a 50% reduction in carbon emissions and a 50% reduction in the trade gap. The "Procuring for Value" report provides recommendations on how government, clients and the industry can maximise the impact of the sector deal by a change in approach to procurement |
| URL | http://www.constructionleadershipcouncil.co.uk/news/procuring-for-value/ |
| Description | KTN Built evironment advisory board - JMS |
| Geographic Reach | Multiple continents/international |
| Policy Influence Type | Participation in a advisory committee |
| Description | Maria Scott technical training CK |
| Geographic Reach | Multiple continents/international |
| Policy Influence Type | Influenced training of practitioners or researchers |
| Description | Member Transport Research and Innovation Board |
| Geographic Reach | National |
| Policy Influence Type | Participation in a advisory committee |
| Description | Member of the House of Lords Select Committee on Science and Technology - Offsite Manufacture in Construction - Building for Change Report |
| Geographic Reach | National |
| Policy Influence Type | Participation in a advisory committee |
| Impact | A report published by the House of Lords Science and Technology Committee, Off-site Manufacture for construction: building for change, says that off-site manufacture (OSM) can help to increase productivity in the construction sector while reducing labour demands, improving the quality and efficiency of buildings, and reducing the environmental impacts associated with traditional construction. |
| URL | https://publications.parliament.uk/pa/ld201719/ldselect/ldsctech/169/16902.htm |
| Description | Ove Arup Foundation Steering workshop - invited participant JMS |
| Geographic Reach | Multiple continents/international |
| Policy Influence Type | Participation in a advisory committee |
| Description | Professor Lord Robert Mair is Chairman of the Science Advisory Council of the Department of Transport |
| Geographic Reach | National |
| Policy Influence Type | Membership of a guideline committee |
| Impact | See above |
| Description | Professor Lord Robert Mair is a Member of House of Lords Select Committee on Science and Technology |
| Geographic Reach | National |
| Policy Influence Type | Membership of a guideline committee |
| Impact | See above |
| Description | Professor Lord Robert Mair is a Member of the National Infrastructure Commission Expert Advisory Technical Group |
| Geographic Reach | National |
| Policy Influence Type | Membership of a guideline committee |
| Impact | See above |
| Description | Report from the Economic Affairs Committee Rethinking High Speed 2 |
| Geographic Reach | National |
| Policy Influence Type | Gave evidence to a government review |
| URL | https://www-smartinfrastructure.eng.cam.ac.uk/news/head-csic-calls-need-innovation-house-lords-hs2-d... |
| Description | Skanska Deployment team Raman course |
| Geographic Reach | Multiple continents/international |
| Policy Influence Type | Influenced training of practitioners or researchers |
| Description | Tideway Tideway Academic Advisory Meeting - JMS |
| Geographic Reach | Multiple continents/international |
| Policy Influence Type | Participation in a advisory committee |
| Description | i3P DLG Advisory Committee JMS |
| Geographic Reach | National |
| Policy Influence Type | Participation in a advisory committee |
| Description | 1851 RESEARCH FELLOWSHIP |
| Amount | £99,000 (GBP) |
| Organisation | Royal Commission for the Exhibition of 1851 |
| Sector | Charity/Non Profit |
| Country | United Kingdom |
| Start | 01/2017 |
| End | 12/2019 |
| Description | CDBB Early Career Researcher - Dr Li Wan - A City-Level Digital Twin Experiment for Exploring the Impacts of Digital Transformation on Journeys to Work in the Cambridge Sub-region |
| Amount | £78,910 (GBP) |
| Organisation | University of Cambridge |
| Sector | Academic/University |
| Country | United Kingdom |
| Start | 10/2018 |
| End | 07/2019 |
| Description | CDBB Early Career Researcher - Dr Timea Nochta - The local governance of digital technology - Implications for the city-scale digital twin |
| Amount | £59,765 (GBP) |
| Organisation | University of Cambridge |
| Sector | Academic/University |
| Country | United Kingdom |
| Start | 10/2018 |
| End | 07/2019 |
| Description | CDBB General Research - ECR Funding - Ruchi Choudhary |
| Amount | £81,308 (GBP) |
| Organisation | Digital Built Britain |
| Sector | Private |
| Country | United Kingdom |
| Start | 10/2018 |
| End | 07/2019 |
| Description | CDBB General Research Funding |
| Amount | £500,000 (GBP) |
| Organisation | Digital Built Britain |
| Sector | Private |
| Country | United Kingdom |
| Start | 11/2019 |
| End | 09/2022 |
| Description | CMMI-EPSRC: Modeling and Monitoring of Urban Underground Climate Change |
| Amount | £420,171 (GBP) |
| Funding ID | EP/T019425/1 |
| Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
| Sector | Public |
| Country | United Kingdom |
| Start | 11/2019 |
| End | 10/2022 |
| Description | Centre for Smart Infrastructure and Construction - Phase 2: Additional Funding for Financial Year 17/18 |
| Amount | £500,000 (GBP) |
| Funding ID | 920038 |
| Organisation | Innovate UK |
| Sector | Public |
| Country | United Kingdom |
| Start | 03/2017 |
| End | 03/2018 |
| Description | Data Centric Engineering - Extension from Sep 2018 to Mar 2019 |
| Amount | £27,684 (GBP) |
| Organisation | Alan Turing Institute |
| Sector | Academic/University |
| Country | United Kingdom |
| Start | 09/2018 |
| End | 03/2019 |
| Description | Data centric engineering |
| Amount | £100,000 (GBP) |
| Organisation | Alan Turing Institute |
| Sector | Academic/University |
| Country | United Kingdom |
| Start | 03/2017 |
| End | 02/2018 |
| Description | Data-Centric Engineering Applications in Smart Infrastructure |
| Amount | £216,711 (GBP) |
| Organisation | Alan Turing Institute |
| Sector | Academic/University |
| Country | United Kingdom |
| Start | 01/2019 |
| End | 12/2021 |
| Description | Developing remote capability assessment for Bridges |
| Amount | £70,000 (GBP) |
| Organisation | Network Rail Ltd |
| Sector | Private |
| Country | United Kingdom |
| Start | 04/2018 |
| End | 12/2019 |
| Description | Digital Changes for Cities |
| Amount | £233,000 (GBP) |
| Organisation | Arup Group |
| Sector | Private |
| Country | United Kingdom |
| Start | 06/2017 |
| End | 05/2019 |
| Description | Digital Cities for Change Phase 2 ( Year 3 and 4) |
| Amount | £276,739 (GBP) |
| Organisation | Ove Arup Foundation |
| Sector | Charity/Non Profit |
| Country | United Kingdom |
| Start | 02/2020 |
| End | 01/2022 |
| Description | Dr Liam Butler Fellowship - Group Leader for Data centric engineering |
| Amount | £61,436 (GBP) |
| Organisation | Alan Turing Institute |
| Sector | Academic/University |
| Country | United Kingdom |
| Start | 03/2018 |
| End | 02/2019 |
| Description | FINNESE (ITN) |
| Amount | £433,790 (GBP) |
| Organisation | European Commission |
| Sector | Public |
| Country | European Union (EU) |
| Start | 10/2016 |
| End | 09/2020 |
| Description | FOAK - Autonomous self powered Sensors |
| Amount | £11,500 (GBP) |
| Organisation | Innovate UK |
| Sector | Public |
| Country | United Kingdom |
| Start | 08/2016 |
| End | 03/2017 |
| Description | FOAK - Condition based maintanence |
| Amount | £10,000 (GBP) |
| Organisation | Innovate UK |
| Sector | Public |
| Country | United Kingdom |
| Start | 08/2016 |
| End | 03/2017 |
| Description | FOAK - MetroCare - Strategic decision-making for integrated urban infrastructure |
| Amount | £10,000 (GBP) |
| Funding ID | 971490 |
| Organisation | Innovate UK |
| Sector | Public |
| Country | United Kingdom |
| Start | 08/2016 |
| End | 03/2017 |
| Description | Facebook for Machines (EPSRC Institutional Support Grant) - AKNP |
| Amount | £10,000 (GBP) |
| Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
| Sector | Public |
| Country | United Kingdom |
| Start | 11/2016 |
| Description | GIS-BASED INFRASTRUCTURE MANAGEMENT SYSTEM FOR OPTIMIZED RESPONSE TO EXTREME EVENTS ON TERRESTRIAL TRANSPORT NETWORKS (SAFEWAY) |
| Amount | € 4,521,100 (EUR) |
| Organisation | European Commission H2020 |
| Sector | Public |
| Country | Belgium |
| Start | 09/2018 |
| End | 02/2022 |
| Description | Innovate and Knowledge Centres |
| Amount | £2,499,396 (GBP) |
| Organisation | Innovate UK |
| Sector | Public |
| Country | United Kingdom |
| Start | 06/2016 |
| End | 06/2021 |
| Description | Junior Research Fellowship - MSA |
| Amount | £90,000 (GBP) |
| Organisation | University of Cambridge |
| Department | Clare Hall |
| Sector | Academic/University |
| Country | United Kingdom |
| Start | 10/2017 |
| Description | Managing Air for Green Inner Cities (MAGIC) - YJ |
| Amount | £4,000,000 (GBP) |
| Funding ID | EP/N010221/1 |
| Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
| Sector | Public |
| Country | United Kingdom |
| Start | 06/2016 |
| Description | Novel applications of structural equation models for car ownership and travel choice forecasting (PI) - YJ |
| Amount | £25,000 (GBP) |
| Organisation | Department of Transport |
| Sector | Public |
| Country | United Kingdom |
| Start | 10/2016 |
| Description | Performance of polymer support fluids for piling and diaphragm walls |
| Amount | £27,800 (GBP) |
| Funding ID | 2109009 |
| Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
| Sector | Public |
| Country | United Kingdom |
| Start | 09/2018 |
| End | 09/2022 |
| Description | Poverty in Chinese Cities: application of new data analytics (PI) YJ |
| Amount | £126,000 (GBP) |
| Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
| Sector | Public |
| Country | United Kingdom |
| Start | 09/2016 |
| Description | Small Partnership Awards - RC |
| Amount | £20,000 (GBP) |
| Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
| Sector | Public |
| Country | United Kingdom |
| Start | 10/2016 |
| Description | Smart Urban Design - XJ |
| Amount | £150,000 (GBP) |
| Organisation | Global University Alliance |
| Sector | Academic/University |
| Start | 11/2016 |
| Description | Spatial economic data analyses for Greater Cambridge-Greater Peterborough (GCGP) Enterprise Partnership Strategic Economic Plan (research lead) - YJ |
| Amount | £120,000 (GBP) |
| Organisation | Greater Cambridge Greater Peterborough LEP |
| Sector | Public |
| Country | United Kingdom |
| Start | 11/2016 |
| Description | Staffordshire Bridge Long Term Monitoring |
| Amount | £399,914 (GBP) |
| Organisation | Digital Built Britain |
| Sector | Private |
| Country | United Kingdom |
| Start | 01/2020 |
| End | 12/2021 |
| Title | Advanced soil models to be incorporated into commercially available software Extended Saniclay model in Abaqus - Samila Bandara |
| Description | Advanced soil models to be incorporated into commercially available software Extended Saniclay model in Abaqus |
| Type Of Material | Improvements to research infrastructure |
| Year Produced | 2017 |
| Provided To Others? | No |
| Impact | Advanced soil models to be incorporated into commercially available software Extended Saniclay model in Abaqus |
| Title | BIM Maturity Assessment Tool |
| Description | CSIC's BIM Maturity Assessment Tool (BMAT), initially developed in 2017, uses established performance measurement practices, BIM literature, and other relevant standards, to build and expand on previous BIM assessment tools. Consisting of two major parts -measurement of the organisation's BIM development maturity and measurement of the supporting processes - the tool provides a separate assessment of the different stakeholders (contractor, designer and employer), and is designed to be used as a continuous performance measurement tool that can be employed to track the evolution of BIM maturity throughout the construction phase through to handover. The Excel-based tool is designed to be user friendly and adaptable to the needs of individual organisations and projects. Limited testing of the tool was successful but more case studies were needed for validation. Secondment project - BIM Maturity Assessment Tool - This aim of the secondment project was to ensure the tool complies with all of the applicable standards, to validate the tool through five additional cross-sector case studies and to ensure its appropriateness for Level 2 BIM maturity assessments. Also, the tool required future-proofing for extension beyond Level 2. In order to develop the tool and make it effective and useful to industry, diverse case studies were identified from a range of sectors (water, railways, highways, and nuclear) and various stages in the project delivery cycle (design, construction and handover) as well as different contract types (e.g. traditional, and, design and build). The updated tool is structured to ask the right questions of the user depending on the stage of the Information Delivery Cycle (IDC) and which stakeholders are involved. The tool is designed to reveal how well the asset owner has defined the asset information requirements and how well the different project stakeholders have defined their approach to develop these requirements for both the BIM Execution Plan (BEP) and the Master Information Delivery Plan (MIDP). The tool enables clarity on who owns the data, who owns the common data environment, and who will take responsibility for the Asset Information Model (AIM) upon handover. Questions are asked about competency and information production, which standards have been applied, how to measure the quality of data used, and how the different stakeholders collaborate. The tool is designed to be extended further. Plans include testing additional case studies and improving the weighting system and interdependencies between the various BIM elements, as well as the development of a web-based version which will enable widely processing and disseminating maturity assessment results across the country. |
| Type Of Material | Improvements to research infrastructure |
| Year Produced | 2018 |
| Provided To Others? | Yes |
| Impact | CSIC's BIM Maturity Assessment Tool (BMAT), initially developed in 2017, uses established performance measurement practices, BIM literature, and other relevant standards, to build and expand on previous BIM assessment tools. Consisting of two major parts -measurement of the organisation's BIM development maturity and measurement of the supporting processes - the tool provides a separate assessment of the different stakeholders (contractor, designer and employer), and is designed to be used as a continuous performance measurement tool that can be employed to track the evolution of BIM maturity throughout the construction phase through to handover. The Excel-based tool is designed to be user friendly and adaptable to the needs of individual organisations and projects. Limited testing of the tool was successful but more case studies were needed for validation. |
| Title | Monitoring axial shortening |
| Description | CSIC has developed a novel application of distributed fibre optic sensors (DFOS) to continuously measure the progressive axial shortening of reinforced concrete columns and walls during the construction of high-rise buildings. |
| Type Of Material | Improvements to research infrastructure |
| Year Produced | 2018 |
| Provided To Others? | Yes |
| Impact | The data acquired to date provide the shortening time histories of the instrumented elements with unprecedented detail and at an unprecedented temporal density. This information has been used to demonstrate how an element's shortening is affected by its profile and stiffness, with smaller and less stiff elements shortening more. The continuous data also show that transient thermal effects can play a significant role in axial shortening, at times accounting for as much as 50 per cent of the total deformation. This is particularly significant as shortening predictions prior to construction do not take into account such thermal effects. CSIC's FO monitoring system also makes it possible to observe the effects of occasional and unexpected events - such as an incident of abrupt loading - which could not be observed with periodic or occasional measurements. |
| Title | Predictive Maintenance Model |
| Description | CSIC researchers have developed a methodology to help asset managers to determine the most optimal timing for interventions on their bridge portfolio in a predictive manner. As maintenance budgets for bridge systems are squeezed, many necessary maintenance activities are delayed or cancelled. Retaining an appropriate level of service and safety for an infrastructure network has become a challenging issue and there is pressing need for a smart asset management approach for road bridges. The structure of the overall approach is composed of five interconnected models: deterioration model; lifecycle cost model; predictive maintenance; group maintenance; and maintenance scheduling model (Figure 2). The deterioration model is formulated for each component of the bridges based on the information from the Structures Asset Management Planning Toolkit, general inspection, and other theoretical models. The predictability of the maintenance model enables proactive grouping of maintenance activities at different timings to reduce add-on costs such as the cost of preliminaries, traffic management and design. These add-on costs can be up to 80 per cent of the cost of repairs that are carried out at the same time. Finally, a designed to be meaningful and supports asset management planning and business case development for the asset owner, as well as the interface between the Structures Asset Management Toolkit and asset management systems to allow asset data input to be automated. The tool is designed to be used for any type of bridge from footbridges to motorway bridges. It has been tested and demonstrated using real industry data and dependencies and, constraints have been tested to enable scenario planning. To develop the CISC toolkit, data including deterioration rates and maintenance costs were extracted from the 2015 update of the Structures Asset Management Toolkit Documentation published by the Department for Transport. This data is different from the current version of the DfT Strcutures Asset Management Toolkit released in 2017. Therefore, it is difficult to compare the CSIC toolkit results against the DfT toolkit. The latest data are required in order to secure more accurate results and also validate the outcome of the CSIC toolkit. The available tools in the market have a time-dependent strategy based on experience. The CSIC tool is the first to provide a strategy based on data using a mathematical model to reduce the maintenance costs and improve the safety of bridges at the same time; the CSIC tool introduces a cost and safety dependent maintenance strategy. The tool can be used for a wide range of applications within the infrastructure sector. The next step is to make the tool adaptable for different types of assets such as tunnels, retaining walls, and earthworks. Our secondment programme offers benefits to all stakeholders. Secondees bring new skills, projects and challenges to CSIC that help to develop emerging tools and technologies for industry use. The secondees gain a deep understanding of innovations which they can apply for the direct benefit of their own companies/organisations. |
| Type Of Material | Improvements to research infrastructure |
| Year Produced | 2018 |
| Provided To Others? | Yes |
| Impact | CSIC researchers have developed a methodology to help asset managers to determine the most optimal timing for interventions on their bridge portfolio in a predictive manner. As maintenance budgets for bridge systems are squeezed, many necessary maintenance activities are delayed or cancelled. Retaining an appropriate level of service and safety for an infrastructure network has become a challenging issue and there is pressing need for a smart asset management approach for road bridges. The structure of the overall approach is composed of five interconnected models: deterioration model; lifecycle cost model; predictive maintenance; group maintenance; and maintenance scheduling model (Figure 2). The deterioration model is formulated for each component of the bridges based on the information from the Structures Asset Management Planning Toolkit, general inspection, and other theoretical models. The predictability of the maintenance model enables proactive grouping of maintenance activities at different timings to reduce add-on costs such as the cost of preliminaries, traffic management and design. These add-on costs can be up to 80 per cent of the cost of repairs that are carried out at the same time. Finally, a designed to be meaningful and supports asset management planning and business case development for the asset owner, as well as the interface between the Structures Asset Management Toolkit and asset management systems to allow asset data input to be automated. The tool is designed to be used for any type of bridge from footbridges to motorway bridges. It has been tested and demonstrated using real industry data and dependencies and, constraints have been tested to enable scenario planning. |
| Title | CSIC Fibre-Optics Data Analysis Dashboard |
| Description | The construction and infrastructure industries grapple with huge volumes of data (big data), when attempting to monitor the structural health of their infrastructure. CSIC is producing a Fibre-Optics Data Analysis Dashboard to assist the industries in quickly and efficiently assessing huge volumes of data for the key message. |
| Type Of Material | Data analysis technique |
| Provided To Others? | No |
| Impact | The CSIC FODA Dashboard is still in the Research and Development phase, with CSIC's Industry Partners providing vital sites and data, as well as industry feedback as the dashboard develops. |
| Title | Data set related to the publication: "Structural performance monitoring using a dynamic data-driven BIM environment" |
| Description | The data was collected for the ME01 project being carried out in the Department of Engineering at the University of Cambridge under EPSRC grant no. EP/L010917/1 The ME01 project is a fibre optic instrumentation and dynamic monitoring programme at Norton Bridge, UK, part of the Stafford Area Improvements Programme. The strain data was collected using fibre optic monitoring technologies based on fibre Bragg gratings. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2018 |
| Provided To Others? | Yes |
| Title | Dynamic digital twin with multi-layered information models for West Cambridge - QL |
| Description | Dynamic digital twin with multi-layered information models. A point cloud model for west Cambridge site and a point cloud model for IfM building. |
| Type Of Material | Computer model/algorithm |
| Year Produced | 2018 |
| Provided To Others? | No |
| Impact | Basis for further work |
| Title | Principal Tower axial shortening L0-16: Research data supporting "Monitoring the axial displacement of a high-rise building under construction using embedded distributed fibre optic sensors" |
| Description | Axial displacement of columns C8 and C9 and walls W1 and W2 at Principal Tower (London, UK) measured between mid-October 2016 and end March 2017 from levels 0 to 16. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2017 |
| Provided To Others? | Yes |
| Title | Principal Tower axial shortening L0-16: Research data supporting "Monitoring the axial displacement of a high-rise building under construction using embedded distributed fibre optic sensors" |
| Description | Axial displacement of columns C8 and C9 and walls W1 and W2 at Principal Tower (London, UK) measured between mid-October 2016 and end March 2017 from levels 0 to 16. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2017 |
| Provided To Others? | Yes |
| Title | Principal Tower column axial shortening L0-4 |
| Description | Axial displacement of columns C8 and C9 at Principal Tower (London, UK) measured between mid-October and mid-December 2016 from levels 0 to 4. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2017 |
| Provided To Others? | Yes |
| Title | Principal Tower column axial shortening L0-4 |
| Description | Axial displacement of columns C8 and C9 at Principal Tower (London, UK) measured between mid-October and mid-December 2016 from levels 0 to 4. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2017 |
| Provided To Others? | Yes |
| Title | Research data supporting "A Handheld Diagnostic System for 6LoWPAN Networks" |
| Description | This data consists of Contiki OS/Cooja simulation files to conduct experiments based on previously obtained diagnostic data from a six-month-long deployment on a construction site, specifically on a new Crossrail Station in Paddington, London. Accompanying these files are the scripts and data used to generate the figures presented in the paper. This research data supports "A Handheld Diagnostic System for 6LoWPAN Networks" which will be published in "13th Wireless On-demand Network systems and Services Conference (WONS 2017)" |
| Type Of Material | Database/Collection of data |
| Year Produced | 2016 |
| Provided To Others? | Yes |
| Title | Research data supporting "A Handheld Diagnostic System for 6LoWPAN Networks" |
| Description | This data consists of Contiki OS/Cooja simulation files to conduct experiments based on previously obtained diagnostic data from a six-month-long deployment on a construction site, specifically on a new Crossrail Station in Paddington, London. Accompanying these files are the scripts and data used to generate the figures presented in the paper. This research data supports "A Handheld Diagnostic System for 6LoWPAN Networks" which will be published in "13th Wireless On-demand Network systems and Services Conference (WONS 2017)" |
| Type Of Material | Database/Collection of data |
| Year Produced | 2016 |
| Provided To Others? | Yes |
| Title | Research data supporting "Dynamic response of a damaged masonry rail viaduct: Measurement and interpretation" |
| Description | Dataset includes fibre-optic data and photogrammetry data collected at Marsh Lane Viaduct in Leeds, UK. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2018 |
| Provided To Others? | Yes |
| Title | Research data supporting "Elastoplastic solutions to predict tunnelling-induced load redistribution and deformation of surface structures" |
| Description | Dataset of the performed analyses |
| Type Of Material | Database/Collection of data |
| Year Produced | 2019 |
| Provided To Others? | Yes |
| Title | Research data supporting "Evaluation of the response of a vaulted masonry structure to differential settlements using point cloud data and limit analyses" |
| Description | Raw data, processing algorithms and paper figure data |
| Type Of Material | Database/Collection of data |
| Year Produced | 2017 |
| Provided To Others? | Yes |
| Title | Research data supporting "Evaluation of the response of a vaulted masonry structure to differential settlements using point cloud data and limit analyses" |
| Description | Raw data, processing algorithms and paper figure data |
| Type Of Material | Database/Collection of data |
| Year Produced | 2017 |
| Provided To Others? | Yes |
| Title | Research data supporting "Sensing dynamic displacements in masonry rail bridges using 2D digital image correlation" |
| Description | Key figures (in MATLAB .fig format) from the publication "Sensing dynamic displacements in masonry rail bridges using 2D digital image correlation". |
| Type Of Material | Database/Collection of data |
| Year Produced | 2018 |
| Provided To Others? | Yes |
| Title | Research data supporting: Robust fibre optic sensor arrays for monitoring the early-age behaviour of mass-produced concrete sleepers |
| Description | Research data supporting the above noted publication. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2017 |
| Provided To Others? | Yes |
| Title | Research data supporting: Robust fibre optic sensor arrays for monitoring the early-age behaviour of mass-produced concrete sleepers |
| Description | Research data supporting the above noted publication. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2017 |
| Provided To Others? | Yes |
| Title | Source code, simulation and data analysis scripts, and relevant data for "Power-efficient piezoelectric fatigue measurement using long-range wireless sensor networks" |
| Description | This dataset consists of the simulation and experimental data, data analysis scripts, and the source code of our wireless sensor system for fatigue strain cycles monitoring, published in "Power-efficient piezoelectric fatigue measurement using long-range wireless sensor networks", Smart Materials and Structures, 2019. The dataset contains several Readme files in various folders - see these for further details. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2019 |
| Provided To Others? | Yes |
| Description | 8 Power |
| Organisation | 8 Power Ltd |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Translating technologies on energy harvesting and low-power sensors |
| Collaborator Contribution | Translating technologies on energy harvesting and low-power sensors |
| Impact | Translating technologies on energy harvesting and low-power sensors |
| Start Year | 2016 |
| Description | 8 Power - PRAF |
| Organisation | 8 Power Ltd |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Innovate UK First-Of-A-Kind Project - Phase I (JMS, DRH, PRAF) |
| Collaborator Contribution | Innovate UK First-Of-A-Kind Project - Phase I (JMS, DRH, PRAF) |
| Impact | Innovate UK First-Of-A-Kind Project - Phase I (JMS, DRH, PRAF) |
| Start Year | 2016 |
| Description | ARUP - MJD |
| Organisation | Arup Group |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Worked closely analysing monitoring data for masonry structures above the Crossrail tunnels |
| Collaborator Contribution | Worked closely analysing monitoring data for masonry structures above the Crossrail tunnels |
| Impact | Worked closely analysing monitoring data for masonry structures above the Crossrail tunnels |
| Start Year | 2014 |
| Description | ARUP development of strategies and implementation of sensing in piles -JMS |
| Organisation | Arup Group |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | development of strategies and implementation of sensing in piles |
| Collaborator Contribution | development of strategies and implementation of sensing in piles |
| Impact | development of strategies and implementation of sensing in piles |
| Start Year | 2016 |
| Description | Academic partner for: Guide to Tremie Concrete for Deep Foundations |
| Organisation | European Federation of Foundation Contractors |
| Country | United Kingdom |
| Sector | Learned Society |
| PI Contribution | Attended multiple meetings in Europe to partake in academic discussions on the best practice for producing deep foundations. |
| Collaborator Contribution | Multiple options for numerical models were discussed during the meetings and the development of the guide. The numerical method we use was discussed in detail but unfortunately was not ready in time for current version publication. |
| Impact | Publication of wide-reaching best practice guide. |
| Start Year | 2016 |
| Description | Achieving Net Zero Roundtable |
| Organisation | Arcadis NV |
| Country | Netherlands |
| Sector | Private |
| PI Contribution | CSIC, COWI and Arcadis jointly hosting an Achieving Net Zero Roundtable Discussion. The infrastructure and construction industry must take action now if we are to achieve net zero carbon by 2050. Some organisations have already publicly stated their commitment to achieve this even before 2050. However, the majority of organisations, although accepting the need to take up this challenge, do not know where to start. What can we as an industry do now to move towards the net zero goal and what changes in policy are needed to enable industry to reach this goal? This cross-government and industry roundtable event, organised by CSIC, Arcadis, and COWI, will address three initial questions. 1) What design and site measures can be adopted to reduce waste and move towards achieving net zero? How can existing data and digital tools be exploited to achieve this? 2) Given the climate emergency and government commitment to net zero by 2050, what changes to their procurement documents and processes can public sector, regulated industry and private sector clients make immediately? 3) What further actions can government ask of asset owners and project clients under existing powers? An action plan for each question will be developed for both individual organisations and at a systemic level. |
| Collaborator Contribution | As above. |
| Impact | Collaboration still active, outputs and outcomes not yet known. |
| Start Year | 2020 |
| Description | Achieving Net Zero Roundtable |
| Organisation | COWI A/S |
| Country | Denmark |
| Sector | Private |
| PI Contribution | CSIC, COWI and Arcadis jointly hosting an Achieving Net Zero Roundtable Discussion. The infrastructure and construction industry must take action now if we are to achieve net zero carbon by 2050. Some organisations have already publicly stated their commitment to achieve this even before 2050. However, the majority of organisations, although accepting the need to take up this challenge, do not know where to start. What can we as an industry do now to move towards the net zero goal and what changes in policy are needed to enable industry to reach this goal? This cross-government and industry roundtable event, organised by CSIC, Arcadis, and COWI, will address three initial questions. 1) What design and site measures can be adopted to reduce waste and move towards achieving net zero? How can existing data and digital tools be exploited to achieve this? 2) Given the climate emergency and government commitment to net zero by 2050, what changes to their procurement documents and processes can public sector, regulated industry and private sector clients make immediately? 3) What further actions can government ask of asset owners and project clients under existing powers? An action plan for each question will be developed for both individual organisations and at a systemic level. |
| Collaborator Contribution | As above. |
| Impact | Collaboration still active, outputs and outcomes not yet known. |
| Start Year | 2020 |
| Description | Amsterdam University of Applied Sciences, Netherlands - ES |
| Organisation | Amsterdam University of Applied Sciences |
| Country | Netherlands |
| Sector | Academic/University |
| PI Contribution | Shadow EU-Summit: managing cities of tomorrow |
| Collaborator Contribution | Shadow EU-Summit: managing cities of tomorrow |
| Impact | Shadow EU-Summit: managing cities of tomorrow |
| Start Year | 2016 |
| Description | Anglian Water - AKNP |
| Organisation | Anglian Water Services |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Asset Management |
| Collaborator Contribution | Asset Management |
| Impact | Asset Management |
| Start Year | 2016 |
| Description | Anglian Water - PTK |
| Organisation | Anglian Water Services |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Newmarket Shopwindow |
| Collaborator Contribution | Newmarket Shopwindow |
| Impact | Newmarket Shopwindow |
| Start Year | 2016 |
| Description | Anglian Water - PTK |
| Organisation | Anglian Water Services |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Grafham Water |
| Collaborator Contribution | Grafham Water |
| Impact | Grafham Water |
| Start Year | 2015 |
| Description | Applications of New Techniques to the Detection and Monitoring of Bridge Scour |
| Organisation | WSP Group plc |
| Department | WSP UK Ltd |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Cam Middleton and WSP working on secondment project 'Applications of New Techniques to the Detection and Monitoring of Bridge Scour' |
| Collaborator Contribution | As above. |
| Impact | Collaboration is still active, output and outcomes not yet known. |
| Start Year | 2019 |
| Description | Aquacleansing installation of FO sensors in sewer tunnels - JMS |
| Organisation | Aqua cleansing |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | installation of FO sensors in sewer tunnels |
| Collaborator Contribution | installation of FO sensors in sewer tunnels |
| Impact | installation of FO sensors in sewer tunnels |
| Start Year | 2016 |
| Description | Arup |
| Organisation | Arup Group |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Development of strategies and implementation of sensing in piles. |
| Collaborator Contribution | Development of strategies and implementation of sensing in piles. |
| Impact | Development of strategies and implementation of sensing in piles. |
| Start Year | 2015 |
| Description | Asset management - Zhenglin Liang |
| Organisation | Herefordshire Council |
| Country | United Kingdom |
| Sector | Public |
| PI Contribution | Asset management |
| Collaborator Contribution | Asset management |
| Impact | Asset management |
| Start Year | 2017 |
| Description | Atkins - LB |
| Organisation | WS Atkins |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Staffordshire Alliance Bridge Monitoring Project (EPSRC) |
| Collaborator Contribution | Staffordshire Alliance Bridge Monitoring Project (EPSRC) |
| Impact | Staffordshire Alliance Bridge Monitoring Project (EPSRC) |
| Start Year | 2014 |
| Description | Atkins - PTK |
| Organisation | WS Atkins |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Staffordshire Alliance Bridges |
| Collaborator Contribution | Staffordshire Alliance Bridges |
| Impact | Staffordshire Alliance Bridges |
| Start Year | 2015 |
| Description | Automating concrete construction: digital processes for whole-life sustainability and productivity |
| Organisation | University of Bath |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | CSIC Investigators are collaborating with colleagues from the Universities of Bath and Dundee to drive a new culture in the construction industry to improve whole-life sustainability and productivity. CSIC is a project partner and Director Dr Jennifer Schooling chairs the steering group. Automating Concrete Construction (ACORN) is one of four research and development projects funded by UK Research and Innovation (UKRI) under the Industrial Strategy Challenge Fund 'Transforming Construction'. The three-year project will address the core aims of the programme: designing and managing buildings through digitally enabled simulation and constructing quality buildings through offsite manufacturing approaches. ACORN aims to create a culture that takes a holistic approach to the manufacture, assembly, reuse and deconstruction of concrete buildings. This will lead to a healthier, safer built environment and a culture that is built on the concept of using enough material, and no more. The challenge Today, the widespread use of flat panel formwork for concrete leads to materially inefficient prismatic shapes for the beams, columns, and floor-slabs in buildings. This practice, which has been around since Roman times, is both architecturally constraining and a key driver behind the high embodied carbon emissions associated with concrete structures. As much as half of the concrete in a building could be saved, if only we approached the use of the material in a different way. Optimised concrete Concrete starts its life as a fluid and can therefore be used to form structures of almost any shape, given the right mould geometry. ACORN will capitalise on this material property to drive the minimisation of embodied carbon in new building structures. The team will create an end-to-end digital process to automate the manufacture of non-prismatic building elements, capitalising on the recent proliferation of affordable robotics and bring them into an industry ripe for a step-change in sustainability and productivity. Something as simple as allowing beams, columns and floor-slabs to have the shape they need to take load, rather than the shape they need to be easily formed, allows a complete rethink of the way material is used in buildings. Fabrication of concrete elements By moving the manufacture of structural concrete elements into a highly controlled factory environment, ACORN aims to ensure that buildings can become more sustainable and the construction industry more productive. Considerations such as the materials to be used, how reinforcement is placed efficiently, how to take into account whole-life value, and how to organise the design process to take advantage of the new possibilities of robotics, will all be considered within the sphere of the project. Demonstration building The key to transforming this conservative industry is to lead by example. One of the most exciting parts of the project, is the proposed construction of two bays of a full-size prototype office building, to be completed at the BRE Innovation Park in Watford. One bay will be left with an exposed structure to show the methods and techniques used in its manufacture, the other bay will be fitted-out as an office building, with roof, walls, façade and internal finishings, to show how the techniques translate into an architectural solution. The demonstration building will serve multiple purposes. On an academic level, it will contribute to the research agenda by acting as a living laboratory. Embedded sensors will collect and share useful live data about how the building is performing structurally, as well as what loads the different parts are carrying. The BRE Innovation Park is visited by 20,000 people annually and data will also be collected from those visitors in user surveys, to evaluate the new appearance. The building's eventual deconstruction will also be an opportunity to verify how the whole-life value drivers for automation perform in reality. Benefits The ACORN project is expected to produce a number of benefits. Reducing reliance on concrete will have a positive environmental effect - construction accounts for nearly half of the UK's carbon emissions and concrete alone for five per cent of global CO2 emissions. There is also huge cost-saving potential - ACORN's research has identified close to £4bn in cost savings for UK construction per annum, that would arise directly from better consideration of material use. Globally, a mere one per cent reduction in construction cost would save $100bn annually. ACORN's focus on automated manufacturing and digital processes to reduce both fabrication and build time are key parts in realising better value. The project will benefit from the contributions of 12 industry partners, including architects, engineers and building contractors, who will work alongside the ACORN team to ensure outputs will bring value to industry. The professions will also benefit with architects able to explore a new form of construction; engineers gaining insights into the real loads such structures have to carry during their lifetime; and contractors having the tools they need to increase quality control, productivity and fabrication time, while de-risking the construction site. ACORN is tackling the UK government's Construction 2025 targets head-on. By automating construction, moving it off-site, and developing a culture of using just enough material, and no more, the project will lower costs, reduce delivery times and dramatically reduce carbon emissions. |
| Collaborator Contribution | As above. |
| Impact | Not yet known. |
| Start Year | 2019 |
| Description | Automating concrete construction: digital processes for whole-life sustainability and productivity |
| Organisation | University of Dundee |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | CSIC Investigators are collaborating with colleagues from the Universities of Bath and Dundee to drive a new culture in the construction industry to improve whole-life sustainability and productivity. CSIC is a project partner and Director Dr Jennifer Schooling chairs the steering group. Automating Concrete Construction (ACORN) is one of four research and development projects funded by UK Research and Innovation (UKRI) under the Industrial Strategy Challenge Fund 'Transforming Construction'. The three-year project will address the core aims of the programme: designing and managing buildings through digitally enabled simulation and constructing quality buildings through offsite manufacturing approaches. ACORN aims to create a culture that takes a holistic approach to the manufacture, assembly, reuse and deconstruction of concrete buildings. This will lead to a healthier, safer built environment and a culture that is built on the concept of using enough material, and no more. The challenge Today, the widespread use of flat panel formwork for concrete leads to materially inefficient prismatic shapes for the beams, columns, and floor-slabs in buildings. This practice, which has been around since Roman times, is both architecturally constraining and a key driver behind the high embodied carbon emissions associated with concrete structures. As much as half of the concrete in a building could be saved, if only we approached the use of the material in a different way. Optimised concrete Concrete starts its life as a fluid and can therefore be used to form structures of almost any shape, given the right mould geometry. ACORN will capitalise on this material property to drive the minimisation of embodied carbon in new building structures. The team will create an end-to-end digital process to automate the manufacture of non-prismatic building elements, capitalising on the recent proliferation of affordable robotics and bring them into an industry ripe for a step-change in sustainability and productivity. Something as simple as allowing beams, columns and floor-slabs to have the shape they need to take load, rather than the shape they need to be easily formed, allows a complete rethink of the way material is used in buildings. Fabrication of concrete elements By moving the manufacture of structural concrete elements into a highly controlled factory environment, ACORN aims to ensure that buildings can become more sustainable and the construction industry more productive. Considerations such as the materials to be used, how reinforcement is placed efficiently, how to take into account whole-life value, and how to organise the design process to take advantage of the new possibilities of robotics, will all be considered within the sphere of the project. Demonstration building The key to transforming this conservative industry is to lead by example. One of the most exciting parts of the project, is the proposed construction of two bays of a full-size prototype office building, to be completed at the BRE Innovation Park in Watford. One bay will be left with an exposed structure to show the methods and techniques used in its manufacture, the other bay will be fitted-out as an office building, with roof, walls, façade and internal finishings, to show how the techniques translate into an architectural solution. The demonstration building will serve multiple purposes. On an academic level, it will contribute to the research agenda by acting as a living laboratory. Embedded sensors will collect and share useful live data about how the building is performing structurally, as well as what loads the different parts are carrying. The BRE Innovation Park is visited by 20,000 people annually and data will also be collected from those visitors in user surveys, to evaluate the new appearance. The building's eventual deconstruction will also be an opportunity to verify how the whole-life value drivers for automation perform in reality. Benefits The ACORN project is expected to produce a number of benefits. Reducing reliance on concrete will have a positive environmental effect - construction accounts for nearly half of the UK's carbon emissions and concrete alone for five per cent of global CO2 emissions. There is also huge cost-saving potential - ACORN's research has identified close to £4bn in cost savings for UK construction per annum, that would arise directly from better consideration of material use. Globally, a mere one per cent reduction in construction cost would save $100bn annually. ACORN's focus on automated manufacturing and digital processes to reduce both fabrication and build time are key parts in realising better value. The project will benefit from the contributions of 12 industry partners, including architects, engineers and building contractors, who will work alongside the ACORN team to ensure outputs will bring value to industry. The professions will also benefit with architects able to explore a new form of construction; engineers gaining insights into the real loads such structures have to carry during their lifetime; and contractors having the tools they need to increase quality control, productivity and fabrication time, while de-risking the construction site. ACORN is tackling the UK government's Construction 2025 targets head-on. By automating construction, moving it off-site, and developing a culture of using just enough material, and no more, the project will lower costs, reduce delivery times and dramatically reduce carbon emissions. |
| Collaborator Contribution | As above. |
| Impact | Not yet known. |
| Start Year | 2019 |
| Description | BAM Nuttall - Development of rockfall early warning system for rail PK |
| Organisation | BAM Nuttall |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Development of rockfall early warning system for rail |
| Collaborator Contribution | Development of rockfall early warning system for rail |
| Impact | Development of rockfall early warning system for rail |
| Start Year | 2018 |
| Description | BP - AS |
| Organisation | BP (British Petroleum) |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Improving reservoir management using MEMS sensors |
| Collaborator Contribution | Improving reservoir management using MEMS sensors |
| Impact | Improving reservoir management using MEMS sensors |
| Start Year | 2010 |
| Description | Bechtel - PTK |
| Organisation | Bechtel Corporation |
| Country | United States |
| Sector | Private |
| PI Contribution | HS2 Excavation monitoring of heave |
| Collaborator Contribution | HS2 Excavation monitoring of heave |
| Impact | HS2 Excavation monitoring of heave |
| Start Year | 2016 |
| Description | Beijing Information Sci & Techn University - DC |
| Organisation | Beijing Information Science & Technology University |
| Country | China |
| Sector | Academic/University |
| PI Contribution | To supply low cost fibre analyser for field deployment |
| Collaborator Contribution | To supply low cost fibre analyser for field deployment |
| Impact | To supply low cost fibre analyser for field deployment |
| Start Year | 2016 |
| Description | Beijing Information Science & Technology University - PK |
| Organisation | Beijing Information Science & Technology University |
| Country | China |
| Sector | Academic/University |
| PI Contribution | Development of mini-BISTU analyser |
| Collaborator Contribution | Development of mini-BISTU analyser |
| Impact | Development of mini-BISTU analyser |
| Start Year | 2017 |
| Description | Bentley, Topcon, Redbite - QL |
| Organisation | Bentley Systems UK Ltd |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Dynamic digital twin with multi-layered information models for West Cambridge |
| Collaborator Contribution | Dynamic digital twin with multi-layered information models for West Cambridge |
| Impact | Dynamic digital twin with multi-layered information models for West Cambridge |
| Start Year | 2017 |
| Description | Bentley, Topcon, Redbite - QL |
| Organisation | RedBite Solutions |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Dynamic digital twin with multi-layered information models for West Cambridge |
| Collaborator Contribution | Dynamic digital twin with multi-layered information models for West Cambridge |
| Impact | Dynamic digital twin with multi-layered information models for West Cambridge |
| Start Year | 2017 |
| Description | Bentley, Topcon, Redbite - QL |
| Organisation | Topcon |
| Country | Japan |
| Sector | Private |
| PI Contribution | Dynamic digital twin with multi-layered information models for West Cambridge |
| Collaborator Contribution | Dynamic digital twin with multi-layered information models for West Cambridge |
| Impact | Dynamic digital twin with multi-layered information models for West Cambridge |
| Start Year | 2017 |
| Description | Berkeley University - NdB |
| Organisation | University of California, Berkeley |
| Country | United States |
| Sector | Academic/University |
| PI Contribution | Testing of trial piles |
| Collaborator Contribution | Testing of trial piles |
| Impact | Testing of trial piles |
| Start Year | 2018 |
| Description | British Geological Survey - AB |
| Organisation | British Geological Survey |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Development of a 3D geological model of Greater London |
| Collaborator Contribution | Development of a 3D geological model of Greater London |
| Impact | Development of a 3D geological model of Greater London |
| Start Year | 2017 |
| Description | British Geological Survey and University of California Berkeley |
| Organisation | British Geological Survey |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Co-published 2 journal articles and presented at 3 conferences. Large scale numerical modelling of shallow ground temperatures. Won a joint CMMI-NSF proposal with £450K per university partner |
| Collaborator Contribution | BGS provided geological and hydro-geological models at urban scale and UC Berkeley helped with the finite element modelling |
| Impact | New CMMI-EPSRC grant (EP/T019425/1) is a direct outcome of this collaboration. |
| Start Year | 2017 |
| Description | British Geological Survey and University of California Berkeley |
| Organisation | University of California, Berkeley |
| Country | United States |
| Sector | Academic/University |
| PI Contribution | Co-published 2 journal articles and presented at 3 conferences. Large scale numerical modelling of shallow ground temperatures. Won a joint CMMI-NSF proposal with £450K per university partner |
| Collaborator Contribution | BGS provided geological and hydro-geological models at urban scale and UC Berkeley helped with the finite element modelling |
| Impact | New CMMI-EPSRC grant (EP/T019425/1) is a direct outcome of this collaboration. |
| Start Year | 2017 |
| Description | Brookfield Multiplex Construction Europe - CK |
| Organisation | Brookfield |
| Department | Multiplex Construction Europe ltd |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Axial shortening monitoring of tall residential tower |
| Collaborator Contribution | Axial shortening monitoring of tall residential tower |
| Impact | Axial shortening monitoring of tall residential tower |
| Start Year | 2016 |
| Description | Brookfield Multiplex Construction Europe Ltd no August 2016 to February 2018 Axial shortening monitoring of tall residential tower - Cedric Kechavarzi |
| Organisation | Brookfield |
| Department | Multiplex Construction Europe ltd |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Brookfield Multiplex Construction Europe Ltd no August 2016 to February 2018 Axial shortening monitoring of tall residential tower |
| Collaborator Contribution | Brookfield Multiplex Construction Europe Ltd no August 2016 to February 2018 Axial shortening monitoring of tall residential tower |
| Impact | Brookfield Multiplex Construction Europe Ltd no August 2016 to February 2018 Axial shortening monitoring of tall residential tower |
| Start Year | 2016 |
| Description | Buro Happold - AKNP |
| Organisation | BuroHappold Engineering |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Futureproofing |
| Collaborator Contribution | Futureproofing |
| Impact | Futureproofing |
| Start Year | 2016 |
| Description | CERN - PTK |
| Organisation | European Organization for Nuclear Research (CERN) |
| Department | CERN - Other |
| Country | Switzerland |
| Sector | Academic/University |
| PI Contribution | Monitoring of LHC Tunnels |
| Collaborator Contribution | Monitoring of LHC Tunnels |
| Impact | Monitoring of LHC Tunnels |
| Start Year | 2015 |
| Description | CERN AEY |
| Organisation | European Organization for Nuclear Research (CERN) |
| Country | Switzerland |
| Sector | Academic/University |
| PI Contribution | Fibre Optic |
| Collaborator Contribution | Fibre Optic |
| Impact | Fibre Optic |
| Start Year | 2015 |
| Description | CH2M - PTK |
| Organisation | CH2M HILL |
| Country | United States |
| Sector | Private |
| PI Contribution | HS2 Pile monitoring |
| Collaborator Contribution | HS2 Pile monitoring |
| Impact | HS2 Pile monitoring |
| Start Year | 2016 |
| Description | CH2MHil(Halcrow) - PTK |
| Organisation | CH2M HILL |
| Country | United States |
| Sector | Private |
| PI Contribution | PO Tunnel |
| Collaborator Contribution | PO Tunnel |
| Impact | PO Tunnel |
| Start Year | 2014 |
| Description | CSIC Formal Partner-FDH Infrastructure Services |
| Organisation | FDH Infrastructure Services |
| Country | United States |
| Sector | Private |
| PI Contribution | Formal CSIC partner |
| Collaborator Contribution | As above. |
| Impact | Not yet know |
| Start Year | 2019 |
| Description | CSIC Formal Partner-Royal Haskoning DHV UK |
| Organisation | Royal HaskoningDHV |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Formal CSIC partner |
| Collaborator Contribution | As above |
| Impact | Not yet know |
| Start Year | 2019 |
| Description | CSIC Formal Partner-Sintela |
| Organisation | Sintela |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Formal CSIC Partner |
| Collaborator Contribution | As above. |
| Impact | Not yet know. |
| Start Year | 2019 |
| Description | CSIC RA Funding Project - Deep foundation automatic anomaly detection and visualisation system |
| Organisation | Arup Group |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | The proposed research aims to develop an automated pile integrity interpretation framework that uses thermal distributed fibre optic (FO) methodology, finite element modelling and machine learning techniques. In the first and second stages, using a full-scale well controlled laboratorytest, the project will firstly develop a system to visualise the pile construction process using collected date and an effective interpretation method for assessing the structural integrity of the pile. Then, machine leaning techniques will be used to recognise the defect patterns within the pile to establish a rapid anomaly response system. An automatic defect detection prototype (software) will be developed at the end of the first stage which allows automatic defection including the location of the defect and its size using minimal human input. In the third stage, the project aims to study the complex strain and temperature coupling effect for early age concrete. The study outcomes will not only help to improve the capability of the anomaly detection system, but will enable the whole-life performance assessment of the concrete piles and hence a benchmark for pile re-use in future. |
| Collaborator Contribution | As above. |
| Impact | Project still active, outputs and outcomes not yet know. |
| Start Year | 2020 |
| Description | CSIC RA Funding Project - Deep foundation automatic anomaly detection and visualisation system |
| Organisation | Skanska UK Ltd |
| Department | Cementation Skanska |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | The proposed research aims to develop an automated pile integrity interpretation framework that uses thermal distributed fibre optic (FO) methodology, finite element modelling and machine learning techniques. In the first and second stages, using a full-scale well controlled laboratorytest, the project will firstly develop a system to visualise the pile construction process using collected date and an effective interpretation method for assessing the structural integrity of the pile. Then, machine leaning techniques will be used to recognise the defect patterns within the pile to establish a rapid anomaly response system. An automatic defect detection prototype (software) will be developed at the end of the first stage which allows automatic defection including the location of the defect and its size using minimal human input. In the third stage, the project aims to study the complex strain and temperature coupling effect for early age concrete. The study outcomes will not only help to improve the capability of the anomaly detection system, but will enable the whole-life performance assessment of the concrete piles and hence a benchmark for pile re-use in future. |
| Collaborator Contribution | As above. |
| Impact | Project still active, outputs and outcomes not yet know. |
| Start Year | 2020 |
| Description | CSIC RA Funding Project - Digital Twins of Urban Farms |
| Organisation | Alan Turing Institute |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | The objective of seeking CSIC funding is to maximize fully the achievements-to-date on the digital twin of the world's first underground farm by delivering it at a high TRL and testing it for usability and reproducibility in a collaboration between CSIC and the Research Software Engineers at Turing. |
| Collaborator Contribution | As above. |
| Impact | Project is still active, outputs and outcomes not yet know. |
| Start Year | 2020 |
| Description | CSIC RA Funding Project - Digital Twins of Urban Farms |
| Organisation | Growing Underground |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | The objective of seeking CSIC funding is to maximize fully the achievements-to-date on the digital twin of the world's first underground farm by delivering it at a high TRL and testing it for usability and reproducibility in a collaboration between CSIC and the Research Software Engineers at Turing. |
| Collaborator Contribution | As above. |
| Impact | Project is still active, outputs and outcomes not yet know. |
| Start Year | 2020 |
| Description | CSIC RA Funding Project - Digital Twins of Urban Farms |
| Organisation | Imperial College London |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | The objective of seeking CSIC funding is to maximize fully the achievements-to-date on the digital twin of the world's first underground farm by delivering it at a high TRL and testing it for usability and reproducibility in a collaboration between CSIC and the Research Software Engineers at Turing. |
| Collaborator Contribution | As above. |
| Impact | Project is still active, outputs and outcomes not yet know. |
| Start Year | 2020 |
| Description | CSIC RA Funding Project - Export cable stability for offshore wind turbine arrays |
| Organisation | Cura Analytica |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | This project will focus on alleviating the potential risk of over-estimating wind farm export cable fatigue problems via three activities: (i) Assess experimentally the validity of various models for pipeline (or cable) breakout in sands under combined loading via 1g laboratory testing (delivered by post-doc and PI Stanier & Co-I Viggiani); (ii) Evaluate the impact of varying models for cable restraint on export cable fatigue using finite element methods (delivered by MRes student and PI Stanier & Co-I Viggiani); and (iii) Develop a prototype system for cable fatigue monitoring using fibre optic technologies that could potentially be deployed in the field (delivered by post-doc and PI Stanier & Co-I Viggiani). |
| Collaborator Contribution | Expert in subsea cable fatigue design. Will provide access to commercial Orcaflex license for FE simulations. Key local contact for the offshore wind consultancy sector. |
| Impact | Project still active, outputs and outcomes not yet know. |
| Start Year | 2020 |
| Description | CSIC RA Funding Project - Inside concrete - distributed spatial and temporal fibre optic sensing |
| Organisation | University of Oxford |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | 1. To validate and calibrate distributed optical fibre sensing systems as accurate measures of temporal and spatial temperature and strain in fresh and hardened concrete. 2. To explore how distributed sensor indicators could be used as early age predictive measures for conventional ordinary Portland cement and more sustainable low-carbon mixes. Better predictors of concrete strength reduce uncertainty, enhance productivity and improve efficiency. The insight could also be used to adapt manufacturing processes and to promote acceptance of low carbon cementitious elements. 3. To determine the feasibility of a back-scattering spectrometer based system for monitoring internal concrete temperature and strain. 4. To undertake a scoping study of the added value of 'Inside concrete' fibre optic sensing during the fresh state curing process and consider how this might be extrapolated across different |
| Collaborator Contribution | As above. |
| Impact | Project is still active, outputs and outcomes not yet known. |
| Start Year | 2020 |
| Description | CSIC RA Funding Project - Inside concrete - distributed spatial and temporal fibre optic sensing |
| Organisation | University of Southampton |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | 1. To validate and calibrate distributed optical fibre sensing systems as accurate measures of temporal and spatial temperature and strain in fresh and hardened concrete. 2. To explore how distributed sensor indicators could be used as early age predictive measures for conventional ordinary Portland cement and more sustainable low-carbon mixes. Better predictors of concrete strength reduce uncertainty, enhance productivity and improve efficiency. The insight could also be used to adapt manufacturing processes and to promote acceptance of low carbon cementitious elements. 3. To determine the feasibility of a back-scattering spectrometer based system for monitoring internal concrete temperature and strain. 4. To undertake a scoping study of the added value of 'Inside concrete' fibre optic sensing during the fresh state curing process and consider how this might be extrapolated across different |
| Collaborator Contribution | As above. |
| Impact | Project is still active, outputs and outcomes not yet known. |
| Start Year | 2020 |
| Description | CSIC RA Funding Project - Modular design for underground construction |
| Organisation | Laing O'Rourke |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | The goal of this proposal is to revolutionise the approach to delivery of large underground basements with tools for design and implementation of modular off-site construction for increased productivity, faster completion and reduced carbon. |
| Collaborator Contribution | As above. |
| Impact | Project is still active, outputs and outcomes not yet know |
| Start Year | 2020 |
| Description | CSIC RA Funding Project - Modular design for underground construction |
| Organisation | Smith and Wallwork |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | The goal of this proposal is to revolutionise the approach to delivery of large underground basements with tools for design and implementation of modular off-site construction for increased productivity, faster completion and reduced carbon. |
| Collaborator Contribution | As above. |
| Impact | Project is still active, outputs and outcomes not yet know |
| Start Year | 2020 |
| Description | CSIC RA Funding Project - Whole life carbon costing in the context of ACORN - and beyond |
| Organisation | Arup Group |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | - Identify/Develop techniques to quantify the whole-life cost and carbon impact of the new methods of construction. - Evaluate existing carbon-counting tools available to infrastructure and construction industry, to determine utility to the industry in e.g. assessing most appropriate interventions on existing assets wrt carbon - Create guidance for industry in terms of 'getting the basics right' with respect to carbon assessment and minimising CO2 emissions and resource use |
| Collaborator Contribution | LOR Access to factory and construction sites McKinsey Advisor on process mapping and carbon accounting Costain Access to construction sites Qualisflow Advisor on process mapping and carbon accounting Arup Advisor on process mapping and carbon accounting |
| Impact | Project still active, outputs and outcomes not yet known |
| Start Year | 2020 |
| Description | CSIC RA Funding Project - Whole life carbon costing in the context of ACORN - and beyond |
| Organisation | Costain Group |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | - Identify/Develop techniques to quantify the whole-life cost and carbon impact of the new methods of construction. - Evaluate existing carbon-counting tools available to infrastructure and construction industry, to determine utility to the industry in e.g. assessing most appropriate interventions on existing assets wrt carbon - Create guidance for industry in terms of 'getting the basics right' with respect to carbon assessment and minimising CO2 emissions and resource use |
| Collaborator Contribution | LOR Access to factory and construction sites McKinsey Advisor on process mapping and carbon accounting Costain Access to construction sites Qualisflow Advisor on process mapping and carbon accounting Arup Advisor on process mapping and carbon accounting |
| Impact | Project still active, outputs and outcomes not yet known |
| Start Year | 2020 |
| Description | CSIC RA Funding Project - Whole life carbon costing in the context of ACORN - and beyond |
| Organisation | Laing O'Rourke |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | - Identify/Develop techniques to quantify the whole-life cost and carbon impact of the new methods of construction. - Evaluate existing carbon-counting tools available to infrastructure and construction industry, to determine utility to the industry in e.g. assessing most appropriate interventions on existing assets wrt carbon - Create guidance for industry in terms of 'getting the basics right' with respect to carbon assessment and minimising CO2 emissions and resource use |
| Collaborator Contribution | LOR Access to factory and construction sites McKinsey Advisor on process mapping and carbon accounting Costain Access to construction sites Qualisflow Advisor on process mapping and carbon accounting Arup Advisor on process mapping and carbon accounting |
| Impact | Project still active, outputs and outcomes not yet known |
| Start Year | 2020 |
| Description | CSIC RA Funding Project - Whole life carbon costing in the context of ACORN - and beyond |
| Organisation | McKinsey & Company |
| Department | McKinsey & Company |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | - Identify/Develop techniques to quantify the whole-life cost and carbon impact of the new methods of construction. - Evaluate existing carbon-counting tools available to infrastructure and construction industry, to determine utility to the industry in e.g. assessing most appropriate interventions on existing assets wrt carbon - Create guidance for industry in terms of 'getting the basics right' with respect to carbon assessment and minimising CO2 emissions and resource use |
| Collaborator Contribution | LOR Access to factory and construction sites McKinsey Advisor on process mapping and carbon accounting Costain Access to construction sites Qualisflow Advisor on process mapping and carbon accounting Arup Advisor on process mapping and carbon accounting |
| Impact | Project still active, outputs and outcomes not yet known |
| Start Year | 2020 |
| Description | CSIC RA Funding Project - Whole life carbon costing in the context of ACORN - and beyond |
| Organisation | Qualisflow |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | - Identify/Develop techniques to quantify the whole-life cost and carbon impact of the new methods of construction. - Evaluate existing carbon-counting tools available to infrastructure and construction industry, to determine utility to the industry in e.g. assessing most appropriate interventions on existing assets wrt carbon - Create guidance for industry in terms of 'getting the basics right' with respect to carbon assessment and minimising CO2 emissions and resource use |
| Collaborator Contribution | LOR Access to factory and construction sites McKinsey Advisor on process mapping and carbon accounting Costain Access to construction sites Qualisflow Advisor on process mapping and carbon accounting Arup Advisor on process mapping and carbon accounting |
| Impact | Project still active, outputs and outcomes not yet known |
| Start Year | 2020 |
| Description | Cambridgeshire County Council - ES |
| Organisation | Cambridgeshire County Council |
| Country | United Kingdom |
| Sector | Public |
| PI Contribution | Land use - transport /mobility |
| Collaborator Contribution | Land use - transport /mobility |
| Impact | Land use - transport /mobility |
| Start Year | 2016 |
| Description | Central Alliance |
| Organisation | Central Alliance |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Cumbrian bridge monitoring |
| Collaborator Contribution | Cumbrian bridge monitoring |
| Impact | Cumbrian bridge monitoring |
| Start Year | 2016 |
| Description | Centro - JT |
| Organisation | Centro plc |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Establishment of collaborative project on vehicle-based track condition monitoring, incl. supply of tram, access to depot facilities and support during installation of instrumentation |
| Collaborator Contribution | Establishment of collaborative project on vehicle-based track condition monitoring, incl. supply of tram, access to depot facilities and support during installation of instrumentation |
| Impact | Establishment of collaborative project on vehicle-based track condition monitoring, incl. supply of tram, access to depot facilities and support during installation of instrumentation |
| Start Year | 2015 |
| Description | Collaboration with University of Tokyo |
| Organisation | University of Tokyo |
| Department | Institute of Industrial Science |
| Country | Japan |
| Sector | Academic/University |
| PI Contribution | - Guest Professor at Ooka Lab, Institute of Industrial Science for 4 months (Sept-December 2015) supported by an invitational Fellowship by Japan Society of Promotion of Science. - Interacted with PhD students and staff on the following topics: uncertainty analysis, distributed energy systems, exergy analysis of building energy systems. - Since 2015, we have regular annual visits to each others labs |
| Collaborator Contribution | The Ooka Lab invited Cambridge PhD student Bryn Pickering for 2 week visit in December 2015. We have co-authored 2 peer-reviewed conference articles and 3 journal publications. From the B-bem project, PDRA Kathrin Menberg has been heavily involved in these collaborations. We have worked with University of Tokyo to carry out uncertainty analysis in the estimation of ground thermal properties for geo-energy systems. In turn- University of Tokyo helped us carry out exergy analysis of heat pump systems, which enabled us to have an improved understanding of system efficiencies. |
| Impact | 1. 2018 visiting researcher from U. of Tokyo hosted by Alan Turing Institute 2. Uncertainty Analysis: 2 journal articles in 2018 3. Exergy Analysis: 1 conference publication (2017), and 1 journal paper (2017). 4. Distributed Energy Systems: 1 conference publication in 2016. |
| Start Year | 2015 |
| Description | Cornell University May-17 Laboratory scale pipeline testing - Cedric Kechavarzi |
| Organisation | Cornell University |
| Country | United States |
| Sector | Academic/University |
| PI Contribution | Cornell University May-17 Laboratory scale pipeline testing |
| Collaborator Contribution | Cornell University May-17 Laboratory scale pipeline testing |
| Impact | Cornell University May-17 Laboratory scale pipeline testing |
| Start Year | 2017 |
| Description | Costain - BIM - AKNP |
| Organisation | Costain Group |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | BIM |
| Collaborator Contribution | BIM |
| Impact | BIM |
| Start Year | 2016 |
| Description | Costain - CK |
| Organisation | Costain Group |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Tram track monitoring |
| Collaborator Contribution | Tram track monitoring |
| Impact | Tram track monitoring |
| Start Year | 2016 |
| Description | Costain - NdB |
| Organisation | Costain Group |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Monitoring of light rail test track |
| Collaborator Contribution | Monitoring of light rail test track |
| Impact | Monitoring of light rail test track |
| Start Year | 2016 |
| Description | Costain - PTK |
| Organisation | Costain Group |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Various London Bridge monitoring projects at construction sites |
| Collaborator Contribution | Various London Bridge monitoring projects at construction sites |
| Impact | Various London Bridge monitoring projects at construction sites |
| Start Year | 2015 |
| Description | Costain - PTK |
| Organisation | Costain Group |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Costain light rail track instrumentation with bend sensors |
| Collaborator Contribution | Costain light rail track instrumentation with bend sensors |
| Impact | Costain light rail track instrumentation with bend sensors |
| Start Year | 2016 |
| Description | Costain AKNP |
| Organisation | Costain Group |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | ICASE Project on Data-driven engineering for improving the performance of asset management |
| Collaborator Contribution | ICASE Project on Data-driven engineering for improving the performance of asset management |
| Impact | ICASE Project on Data-driven engineering for improving the performance of asset management |
| Start Year | 2016 |
| Description | Costain Computer vision for tunnel monitoring JMS |
| Organisation | Costain Group |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Computer vision for tunnel monitoring |
| Collaborator Contribution | Computer vision for tunnel monitoring |
| Impact | Computer vision for tunnel monitoring |
| Start Year | 2016 |
| Description | Costain light rail -testing of light railtrial |
| Organisation | Costain Group |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Site visits and discussion with client; Monitoring system design. |
| Collaborator Contribution | Site visits and discussion with client; Monitoring system design. |
| Impact | Site visits and discussion with client; Monitoring system design. |
| Start Year | 2016 |
| Description | Counterest - MSA |
| Organisation | Counterest |
| Country | Spain |
| Sector | Private |
| PI Contribution | Working together on an article where we use their hardware/software |
| Collaborator Contribution | Working together on an article where we use their hardware/software |
| Impact | Working together on an article where we use their hardware/software |
| Start Year | 2016 |
| Description | Crossrail - CK |
| Organisation | Crossrail |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Post Office tunnel monitoring |
| Collaborator Contribution | Post Office tunnel monitoring |
| Impact | Post Office tunnel monitoring |
| Start Year | 2015 |
| Description | Crossrail - MJD |
| Organisation | Crossrail |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Research on Settlement effects on masonry structures |
| Collaborator Contribution | Research on Settlement effects on masonry structures |
| Impact | Research on Settlement effects on masonry structures |
| Start Year | 2013 |
| Description | Crossrail - PTK |
| Organisation | Crossrail |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Various shaft monitoring projects at construction sites |
| Collaborator Contribution | Various shaft monitoring projects at construction sites |
| Impact | Various shaft monitoring projects at construction sites |
| Start Year | 2015 |
| Description | Data-centric Bridge Assessment (Marsh Lane Viaduct) Haris Alexakis |
| Organisation | Network Rail Ltd |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Data-centric Bridge Assessment (Marsh Lane Viaduct |
| Collaborator Contribution | Data-centric Bridge Assessment (Marsh Lane Viaduct |
| Impact | Data-centric Bridge Assessment (Marsh Lane Viaduct |
| Start Year | 2017 |
| Description | Data-centric bridge monitoring and assessment - Liam Butler |
| Organisation | Alan Turing Institute |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Data-centric bridge monitoring and assessment |
| Collaborator Contribution | Data-centric bridge monitoring and assessment |
| Impact | Data-centric bridge monitoring and assessment |
| Start Year | 2017 |
| Description | Department for Transport, Local Transport, UK - ES |
| Organisation | Department of Transport |
| Country | United Kingdom |
| Sector | Public |
| PI Contribution | Local transport planning |
| Collaborator Contribution | Local transport planning |
| Impact | Local transport planning |
| Start Year | 2016 |
| Description | Designing in data insights to improve customer experience at Gatwick Train Station |
| Organisation | Costain Group |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Jennifer Schooling and Costain working on secondment project Designing in data insights to improve customer experience at Gatwick Train Station |
| Collaborator Contribution | As above. |
| Impact | Collaboration still active, outputs and outcomes not yet known. |
| Start Year | 2020 |
| Description | Developing the supply chain to advance dynamic strain sensing |
| Organisation | FEBUS Optics |
| Country | France |
| Sector | Private |
| PI Contribution | Responding to industry call In a working group discussion at a CSIC event, industry partners raised the subject of sensing strain in structures and that current distributed fibre optic strain sensing technologies were too slow to capture dynamic events. There was a consensus that the ability to measure strain at a rate of 50Hz or more was needed to fulfil many dynamic applications, such as capturing traffic loading effects on bridges. However, achieving this goal would require development and application of new technology. CSIC has worked with French SME, FEBUS Optics1 to deliver this capability. Febus had developed a new generation of fast Brillouin fibre optic strain sensing systems, the FEBUS G1. FEBUS and CSIC discussed applying the technology for civil engineering applications, and the challenge was set to create a dynamic infrastructure sensing system. After six months of development, FEBUS met this challenge and demonstrated dynamic strain measurement at 50Hz over 1km in a fully-functioning system, the FEBUS G1D. This ability means vital performance data can be captured at sub-second rates instead of periodically sampling performance at longer time frames over several minutes. CSIC worked with Febus on minimum system requirements and specifications, and in late 2018, the FEBUS G1D was ready to leave the lab and be deployed in the field. First deployment on a CSIC project The FEBUS G1D was used as part of the rockfall early warning system developed by CSIC in a collaborative project with Network Rail to monitor Hooley Cutting: the steep cutting faces either side of a 170-year-old stretch of railway between London and Brighton. The FEBUS system was successfully used to monitor strain changes in a rockfall mesh in real time in order to capture potential rock debris accumulating in the mesh on the cutting (see Transforming infrastructure through smarter information). Key benefits of fibre optic sensing Optical fibre sensors can measure many infrastructure parameters, including strain, temperature, displacement, vibration, and, with some mechanical modifications, tilt and acceleration. For sensing requirements that need more than several hundred sensing points (for example embankments and rail track), optical fibre sensing also becomes the lowest cost solution. It eliminates the need for copper cable power cables or battery maintenance and is easy to install. This ability of distributed fibre optic sensing systems, such as the FEBUS G1, to provide spatially dense information while being simple to install means that fibre optic sensors are becoming an attractive alternative to electrical point sensors for infrastructure sensing. The system is commercially available and more than 30 FEBUS G1 systems have now been made and deployed around the world. Implications for whole-life monitoring The fibre optic sensor cables used by CSIC are identical to telecommunications optical fibre which has been used worldwide since the 1970s and 80s. They are made of silica which does not experience the same failure modes as electrical sensors and is one of the most environmentally stable compounds known; there is no corrosion when the sensors are exposed to humidity, nor do they suffer from electromigration ageing or copper embrittlement. They are also immune to electromagnetic fields present in high voltage environments such as rail. Corning Glass, a leading manufacturer of optical fibre recently published a white paper on their use, and in particular, the lifespan of the product. In the paper Corning have stated that there is "no 'theoretical lifetime' of optical fibres" and that "there is no industry accepted 'wear out' mechanism for optical fibre". They reported that it is "common for customers to report to Corning that trial fibres installed in the late 1970s or early 1980s are still in use today". Optical sensing systems which can last for the life of the asset being monitored make whole-life sensing a real option for asset management and can provide the data required to ensure the asset is fit for purpose over its entire lifetime. |
| Collaborator Contribution | As above. |
| Impact | The system is commercially available and more than 30 FEBUS G1 systems have now been made and deployed around the world. |
| Start Year | 2018 |
| Description | Developing toolkit for bridge maintenance - Zhenglin Liang |
| Organisation | Mott Macdonald UK Ltd |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Developing toolkit for bridge maintenance |
| Collaborator Contribution | Developing toolkit for bridge maintenance |
| Impact | Developing toolkit for bridge maintenance |
| Start Year | 2017 |
| Description | Development of a 3D geological model of Greater London - Asal Bidarmaghz |
| Organisation | British Geological Survey |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Development of a 3D geological model of Greater London |
| Collaborator Contribution | Development of a 3D geological model of Greater London |
| Impact | Development of a 3D geological model of Greater London |
| Start Year | 2017 |
| Description | Diemount joint development of low cost FO sensors JMS |
| Organisation | Diemount GmbH |
| Country | Germany |
| Sector | Private |
| PI Contribution | joint development of low cost FO sensors |
| Collaborator Contribution | joint development of low cost FO sensors |
| Impact | joint development of low cost FO sensors |
| Start Year | 2016 |
| Description | Digital Cities for Change: next-generation tools for city planning and management |
| Organisation | Cambridgeshire County Council |
| Country | United Kingdom |
| Sector | Public |
| PI Contribution | The challenges for modern cities to deliver smart systems for its citizens are complex and cut across many traditional disciplines. CSIC's Digital Cities for Change project, funded by the Ove Arup Foundation and the Centre for Digital Built Britain, evaluates both the existing structures and systems of city and infrastructure management, and investigates how digital tools can help better decision-making within these areas. Understanding limitations of the current approach The planning, management and operation of assets, buildings and towns have traditionally operated in professional silos. Researchers are investigating the impact of these silos within city and infrastructure management and how this leads to departments following separate, and sometimes divergent, approaches to address common challenges. We live in an era of increasing digital abundance, but industry and city governments lack the tools to understand and interpret the data to support smarter decision-making processes and deliver best value from them. In order to deliver on the transformative potential of this digital revolution, we need built environment professionals who are trained in a broader range of disciplines and tools, bridging infrastructure and city management solutions and developing the opportunities presented by the digital economy. Working with local authorities The use of data has huge potential to help deliver social, economic and political goals for cities. Digital Cities for Change researchers have built a working partnership with Smart Cambridge, a programme supported by Connecting Cambridgeshire, which is led by Cambridgeshire County Council, and are using the city as a pilot. A workshop was held in December 2018 with o?cers from the council's transport, sustainability and planning departments to plan how digital technology and data can be used to support decisions and make improvements. The aim of the workshop was to understand the current activities addressing two of the council's policy goals; improving air quality and reducing congestion, including the use of data to support policy measures related to the goals and to explore future requirements. Researchers are also aiming to understand the possibilities for developing a digital twin prototype for the city which responds to imminent challenges and the delivery of the policy goals. Developing a new digital strategy The Digital Cities for Change team is now exploring the potential building blocks of a new digital strategy, with two key components: 1. A digital twin, combining traditional urban modelling techniques, new data sources and advanced data analytics, to support decision-making in di?erent sectors. 2. A new governance framework which will ensure successful implementation through linking planning, management and operation. The digital twin prototype will use technology and data to tackle air pollution and tra?c congestion. It will include recent trends of journeys to work in Cambridge, including how people of di?erent ages and employment status travel to work and how di?erent factors a?ect their travel. It will also explore future possible journeys to work based on transport investment, housing developments and how ?exible working and new technology may impact commuting. A web-based modelling platform will also visualise future development options and give people an opportunity for feedback. The governance aspect of the strategy will map stakeholders of the digital twin and their relationships to each other across government and private sectors. It will incorporate legislation and regulation, sharing and security. A crucial part of the governance will be citizen engagement - to connect the physical to the data and provide evidence that can motivate people to change their behaviour. This will involve talking to employees about ?exible working and community co-working spaces. The vision for the city-level strategy The Cambridge digital twin prototype, along with the governance recommendations is under development, with an initial version discussed with colleagues at Smart Cambridge in April. The project team is now planning to re?ne the strategy and develop the tool to explore di?erent aspects of the collection, processing and use of data to improve various city functions. |
| Collaborator Contribution | As above. |
| Impact | Nochta, T., Wan, L., Schooling, J. M. et al. (2019). Digitalisation for smarter cities: Moving from a static to a dynamic view. Proceedings of the Institution of Civil Engineers - Smart Infrastructure and Construction Journal, https://doi.org/10.1680/jsmic.19.00001. www.icevirtuallibrary.com/doi/abs/10.1680/jsmic.19.00001 Nochta, T., Badstuber, N.E., Wan, L. (2019). Evidence-informed decisionmaking in multi-stakeholder settings: The case of city digital twins for planning and management. Proceedings of the Data for Policy Conference, 11-12 June 2019, University College London, UK. zenodo.org/record/2798858#.XV0MmXvTXQy Wan, L., Nochta, T., Schooling, J.M. (2019). Developing A City-level Digital Twin - Propositions and A Case Study. Proceedings of the International Conference on Smart Infrastructure and Construction (ICSIC), 8-10 July 2019, Churchill College, Cambridge, UK. www.repository.cam.ac.uk/handle/1810/291545 Nochta, T., Badstuber, N.E., Wahby, N. (2019). On the Governance of City Digital Twins - Insights from the Cambridge Case Study. Working paper, published in the CDBB publication series. Series No: CDBB_WP_012. www.repository.cam.ac.uk/handle/1810/293984 |
| Start Year | 2018 |
| Description | Digital Cities for Change: next-generation tools for city planning and management |
| Organisation | Digital Built Britain |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | The challenges for modern cities to deliver smart systems for its citizens are complex and cut across many traditional disciplines. CSIC's Digital Cities for Change project, funded by the Ove Arup Foundation and the Centre for Digital Built Britain, evaluates both the existing structures and systems of city and infrastructure management, and investigates how digital tools can help better decision-making within these areas. Understanding limitations of the current approach The planning, management and operation of assets, buildings and towns have traditionally operated in professional silos. Researchers are investigating the impact of these silos within city and infrastructure management and how this leads to departments following separate, and sometimes divergent, approaches to address common challenges. We live in an era of increasing digital abundance, but industry and city governments lack the tools to understand and interpret the data to support smarter decision-making processes and deliver best value from them. In order to deliver on the transformative potential of this digital revolution, we need built environment professionals who are trained in a broader range of disciplines and tools, bridging infrastructure and city management solutions and developing the opportunities presented by the digital economy. Working with local authorities The use of data has huge potential to help deliver social, economic and political goals for cities. Digital Cities for Change researchers have built a working partnership with Smart Cambridge, a programme supported by Connecting Cambridgeshire, which is led by Cambridgeshire County Council, and are using the city as a pilot. A workshop was held in December 2018 with o?cers from the council's transport, sustainability and planning departments to plan how digital technology and data can be used to support decisions and make improvements. The aim of the workshop was to understand the current activities addressing two of the council's policy goals; improving air quality and reducing congestion, including the use of data to support policy measures related to the goals and to explore future requirements. Researchers are also aiming to understand the possibilities for developing a digital twin prototype for the city which responds to imminent challenges and the delivery of the policy goals. Developing a new digital strategy The Digital Cities for Change team is now exploring the potential building blocks of a new digital strategy, with two key components: 1. A digital twin, combining traditional urban modelling techniques, new data sources and advanced data analytics, to support decision-making in di?erent sectors. 2. A new governance framework which will ensure successful implementation through linking planning, management and operation. The digital twin prototype will use technology and data to tackle air pollution and tra?c congestion. It will include recent trends of journeys to work in Cambridge, including how people of di?erent ages and employment status travel to work and how di?erent factors a?ect their travel. It will also explore future possible journeys to work based on transport investment, housing developments and how ?exible working and new technology may impact commuting. A web-based modelling platform will also visualise future development options and give people an opportunity for feedback. The governance aspect of the strategy will map stakeholders of the digital twin and their relationships to each other across government and private sectors. It will incorporate legislation and regulation, sharing and security. A crucial part of the governance will be citizen engagement - to connect the physical to the data and provide evidence that can motivate people to change their behaviour. This will involve talking to employees about ?exible working and community co-working spaces. The vision for the city-level strategy The Cambridge digital twin prototype, along with the governance recommendations is under development, with an initial version discussed with colleagues at Smart Cambridge in April. The project team is now planning to re?ne the strategy and develop the tool to explore di?erent aspects of the collection, processing and use of data to improve various city functions. |
| Collaborator Contribution | As above. |
| Impact | Nochta, T., Wan, L., Schooling, J. M. et al. (2019). Digitalisation for smarter cities: Moving from a static to a dynamic view. Proceedings of the Institution of Civil Engineers - Smart Infrastructure and Construction Journal, https://doi.org/10.1680/jsmic.19.00001. www.icevirtuallibrary.com/doi/abs/10.1680/jsmic.19.00001 Nochta, T., Badstuber, N.E., Wan, L. (2019). Evidence-informed decisionmaking in multi-stakeholder settings: The case of city digital twins for planning and management. Proceedings of the Data for Policy Conference, 11-12 June 2019, University College London, UK. zenodo.org/record/2798858#.XV0MmXvTXQy Wan, L., Nochta, T., Schooling, J.M. (2019). Developing A City-level Digital Twin - Propositions and A Case Study. Proceedings of the International Conference on Smart Infrastructure and Construction (ICSIC), 8-10 July 2019, Churchill College, Cambridge, UK. www.repository.cam.ac.uk/handle/1810/291545 Nochta, T., Badstuber, N.E., Wahby, N. (2019). On the Governance of City Digital Twins - Insights from the Cambridge Case Study. Working paper, published in the CDBB publication series. Series No: CDBB_WP_012. www.repository.cam.ac.uk/handle/1810/293984 |
| Start Year | 2018 |
| Description | Digital Cities for Change: next-generation tools for city planning and management |
| Organisation | Ove Arup Foundation |
| Country | United Kingdom |
| Sector | Charity/Non Profit |
| PI Contribution | The challenges for modern cities to deliver smart systems for its citizens are complex and cut across many traditional disciplines. CSIC's Digital Cities for Change project, funded by the Ove Arup Foundation and the Centre for Digital Built Britain, evaluates both the existing structures and systems of city and infrastructure management, and investigates how digital tools can help better decision-making within these areas. Understanding limitations of the current approach The planning, management and operation of assets, buildings and towns have traditionally operated in professional silos. Researchers are investigating the impact of these silos within city and infrastructure management and how this leads to departments following separate, and sometimes divergent, approaches to address common challenges. We live in an era of increasing digital abundance, but industry and city governments lack the tools to understand and interpret the data to support smarter decision-making processes and deliver best value from them. In order to deliver on the transformative potential of this digital revolution, we need built environment professionals who are trained in a broader range of disciplines and tools, bridging infrastructure and city management solutions and developing the opportunities presented by the digital economy. Working with local authorities The use of data has huge potential to help deliver social, economic and political goals for cities. Digital Cities for Change researchers have built a working partnership with Smart Cambridge, a programme supported by Connecting Cambridgeshire, which is led by Cambridgeshire County Council, and are using the city as a pilot. A workshop was held in December 2018 with o?cers from the council's transport, sustainability and planning departments to plan how digital technology and data can be used to support decisions and make improvements. The aim of the workshop was to understand the current activities addressing two of the council's policy goals; improving air quality and reducing congestion, including the use of data to support policy measures related to the goals and to explore future requirements. Researchers are also aiming to understand the possibilities for developing a digital twin prototype for the city which responds to imminent challenges and the delivery of the policy goals. Developing a new digital strategy The Digital Cities for Change team is now exploring the potential building blocks of a new digital strategy, with two key components: 1. A digital twin, combining traditional urban modelling techniques, new data sources and advanced data analytics, to support decision-making in di?erent sectors. 2. A new governance framework which will ensure successful implementation through linking planning, management and operation. The digital twin prototype will use technology and data to tackle air pollution and tra?c congestion. It will include recent trends of journeys to work in Cambridge, including how people of di?erent ages and employment status travel to work and how di?erent factors a?ect their travel. It will also explore future possible journeys to work based on transport investment, housing developments and how ?exible working and new technology may impact commuting. A web-based modelling platform will also visualise future development options and give people an opportunity for feedback. The governance aspect of the strategy will map stakeholders of the digital twin and their relationships to each other across government and private sectors. It will incorporate legislation and regulation, sharing and security. A crucial part of the governance will be citizen engagement - to connect the physical to the data and provide evidence that can motivate people to change their behaviour. This will involve talking to employees about ?exible working and community co-working spaces. The vision for the city-level strategy The Cambridge digital twin prototype, along with the governance recommendations is under development, with an initial version discussed with colleagues at Smart Cambridge in April. The project team is now planning to re?ne the strategy and develop the tool to explore di?erent aspects of the collection, processing and use of data to improve various city functions. |
| Collaborator Contribution | As above. |
| Impact | Nochta, T., Wan, L., Schooling, J. M. et al. (2019). Digitalisation for smarter cities: Moving from a static to a dynamic view. Proceedings of the Institution of Civil Engineers - Smart Infrastructure and Construction Journal, https://doi.org/10.1680/jsmic.19.00001. www.icevirtuallibrary.com/doi/abs/10.1680/jsmic.19.00001 Nochta, T., Badstuber, N.E., Wan, L. (2019). Evidence-informed decisionmaking in multi-stakeholder settings: The case of city digital twins for planning and management. Proceedings of the Data for Policy Conference, 11-12 June 2019, University College London, UK. zenodo.org/record/2798858#.XV0MmXvTXQy Wan, L., Nochta, T., Schooling, J.M. (2019). Developing A City-level Digital Twin - Propositions and A Case Study. Proceedings of the International Conference on Smart Infrastructure and Construction (ICSIC), 8-10 July 2019, Churchill College, Cambridge, UK. www.repository.cam.ac.uk/handle/1810/291545 Nochta, T., Badstuber, N.E., Wahby, N. (2019). On the Governance of City Digital Twins - Insights from the Cambridge Case Study. Working paper, published in the CDBB publication series. Series No: CDBB_WP_012. www.repository.cam.ac.uk/handle/1810/293984 |
| Start Year | 2018 |
| Description | Digital Cities for Change: next-generation tools for city planning and management |
| Organisation | University of Cambridge |
| Department | Department of Engineering |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | The challenges for modern cities to deliver smart systems for its citizens are complex and cut across many traditional disciplines. CSIC's Digital Cities for Change project, funded by the Ove Arup Foundation and the Centre for Digital Built Britain, evaluates both the existing structures and systems of city and infrastructure management, and investigates how digital tools can help better decision-making within these areas. Understanding limitations of the current approach The planning, management and operation of assets, buildings and towns have traditionally operated in professional silos. Researchers are investigating the impact of these silos within city and infrastructure management and how this leads to departments following separate, and sometimes divergent, approaches to address common challenges. We live in an era of increasing digital abundance, but industry and city governments lack the tools to understand and interpret the data to support smarter decision-making processes and deliver best value from them. In order to deliver on the transformative potential of this digital revolution, we need built environment professionals who are trained in a broader range of disciplines and tools, bridging infrastructure and city management solutions and developing the opportunities presented by the digital economy. Working with local authorities The use of data has huge potential to help deliver social, economic and political goals for cities. Digital Cities for Change researchers have built a working partnership with Smart Cambridge, a programme supported by Connecting Cambridgeshire, which is led by Cambridgeshire County Council, and are using the city as a pilot. A workshop was held in December 2018 with o?cers from the council's transport, sustainability and planning departments to plan how digital technology and data can be used to support decisions and make improvements. The aim of the workshop was to understand the current activities addressing two of the council's policy goals; improving air quality and reducing congestion, including the use of data to support policy measures related to the goals and to explore future requirements. Researchers are also aiming to understand the possibilities for developing a digital twin prototype for the city which responds to imminent challenges and the delivery of the policy goals. Developing a new digital strategy The Digital Cities for Change team is now exploring the potential building blocks of a new digital strategy, with two key components: 1. A digital twin, combining traditional urban modelling techniques, new data sources and advanced data analytics, to support decision-making in di?erent sectors. 2. A new governance framework which will ensure successful implementation through linking planning, management and operation. The digital twin prototype will use technology and data to tackle air pollution and tra?c congestion. It will include recent trends of journeys to work in Cambridge, including how people of di?erent ages and employment status travel to work and how di?erent factors a?ect their travel. It will also explore future possible journeys to work based on transport investment, housing developments and how ?exible working and new technology may impact commuting. A web-based modelling platform will also visualise future development options and give people an opportunity for feedback. The governance aspect of the strategy will map stakeholders of the digital twin and their relationships to each other across government and private sectors. It will incorporate legislation and regulation, sharing and security. A crucial part of the governance will be citizen engagement - to connect the physical to the data and provide evidence that can motivate people to change their behaviour. This will involve talking to employees about ?exible working and community co-working spaces. The vision for the city-level strategy The Cambridge digital twin prototype, along with the governance recommendations is under development, with an initial version discussed with colleagues at Smart Cambridge in April. The project team is now planning to re?ne the strategy and develop the tool to explore di?erent aspects of the collection, processing and use of data to improve various city functions. |
| Collaborator Contribution | As above. |
| Impact | Nochta, T., Wan, L., Schooling, J. M. et al. (2019). Digitalisation for smarter cities: Moving from a static to a dynamic view. Proceedings of the Institution of Civil Engineers - Smart Infrastructure and Construction Journal, https://doi.org/10.1680/jsmic.19.00001. www.icevirtuallibrary.com/doi/abs/10.1680/jsmic.19.00001 Nochta, T., Badstuber, N.E., Wan, L. (2019). Evidence-informed decisionmaking in multi-stakeholder settings: The case of city digital twins for planning and management. Proceedings of the Data for Policy Conference, 11-12 June 2019, University College London, UK. zenodo.org/record/2798858#.XV0MmXvTXQy Wan, L., Nochta, T., Schooling, J.M. (2019). Developing A City-level Digital Twin - Propositions and A Case Study. Proceedings of the International Conference on Smart Infrastructure and Construction (ICSIC), 8-10 July 2019, Churchill College, Cambridge, UK. www.repository.cam.ac.uk/handle/1810/291545 Nochta, T., Badstuber, N.E., Wahby, N. (2019). On the Governance of City Digital Twins - Insights from the Cambridge Case Study. Working paper, published in the CDBB publication series. Series No: CDBB_WP_012. www.repository.cam.ac.uk/handle/1810/293984 |
| Start Year | 2018 |
| Description | Dragados - MSA |
| Organisation | Dragados |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Planning for monitoring of Mansion House |
| Collaborator Contribution | Planning for monitoring of Mansion House and |
| Impact | Planning for monitoring of Mansion House and |
| Start Year | 2017 |
| Description | Dynamic digital twin with multi-layered information models for West Cambridge (Centre for Digital Built Britain Mini-projects Programme 2017-18) Quichen Lu |
| Organisation | Digital Built Britain |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Dynamic digital twin with multi-layered information models for West Cambridge (Centre for Digital Built Britain Mini-projects Programme 2017-18) |
| Collaborator Contribution | Dynamic digital twin with multi-layered information models for West Cambridge (Centre for Digital Built Britain Mini-projects Programme 2017-18) |
| Impact | Dynamic digital twin with multi-layered information models for West Cambridge (Centre for Digital Built Britain Mini-projects Programme 2017-18) |
| Start Year | 2017 |
| Description | Dynamic digital twin with multi-layered information models for West Cambridge - Quichen Lu |
| Organisation | Bentley Motors |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Dynamic digital twin with multi-layered information models for West Cambridge |
| Collaborator Contribution | Dynamic digital twin with multi-layered information models for West Cambridge |
| Impact | Dynamic digital twin with multi-layered information models for West Cambridge |
| Start Year | 2017 |
| Description | Dynamic digital twin with multi-layered information models for West Cambridge - Quichen Lu |
| Organisation | RedBite Solutions |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Dynamic digital twin with multi-layered information models for West Cambridge |
| Collaborator Contribution | Dynamic digital twin with multi-layered information models for West Cambridge |
| Impact | Dynamic digital twin with multi-layered information models for West Cambridge |
| Start Year | 2017 |
| Description | Dynamic digital twin with multi-layered information models for West Cambridge - Quichen Lu |
| Organisation | Topcon |
| Country | Japan |
| Sector | Private |
| PI Contribution | Dynamic digital twin with multi-layered information models for West Cambridge |
| Collaborator Contribution | Dynamic digital twin with multi-layered information models for West Cambridge |
| Impact | Dynamic digital twin with multi-layered information models for West Cambridge |
| Start Year | 2017 |
| Description | E G Technology - PTK |
| Organisation | E G Technology |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Development of Macro VEH, and development of New Analyser enclosure |
| Collaborator Contribution | Development of Macro VEH, and development of New Analyser enclosure |
| Impact | Development of Macro VEH, and development of New Analyser enclosure |
| Start Year | 2014 |
| Description | EM-Solutions |
| Organisation | EM - Solutions |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Detection of defects in water courses |
| Collaborator Contribution | Detection of defects in water courses |
| Impact | Detection of defects in water courses |
| Start Year | 2015 |
| Description | Epsimon Ltd - NdB |
| Organisation | Epsimon |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Instrumentation of new Civil Eng building (boreholes, basement, frame, strong floor) |
| Collaborator Contribution | Instrumentation of new Civil Eng building (boreholes, basement, frame, strong floor) |
| Impact | Instrumentation of new Civil Eng building (boreholes, basement, frame, strong floor) |
| Start Year | 2017 |
| Description | FBGS - PTK |
| Organisation | FBGS |
| Country | Germany |
| Sector | Private |
| PI Contribution | Development of FRP armoured FBG fibre optic sensors for embedding in concrete structures. |
| Collaborator Contribution | Development of FRP armoured FBG fibre optic sensors for embedding in concrete structures. |
| Impact | Development of FRP armoured FBG fibre optic sensors for embedding in concrete structures. |
| Start Year | 2015 |
| Description | FGBS - development of FRP armoured FBG fibre optic sensors for embedding in concrete structures - JMS |
| Organisation | FBGS |
| Country | Germany |
| Sector | Private |
| PI Contribution | development of FRP armoured FBG fibre optic sensors for embedding in concrete structures |
| Collaborator Contribution | development of FRP armoured FBG fibre optic sensors for embedding in concrete structures |
| Impact | development of FRP armoured FBG fibre optic sensors for embedding in concrete structures |
| Start Year | 2016 |
| Description | FO instrumentation for pile testing |
| Organisation | Gammon Construction Limited |
| Country | Hong Kong |
| Sector | Private |
| PI Contribution | FO instrumentation for pile testing |
| Collaborator Contribution | FO instrumentation for pile testing |
| Impact | FO instrumentation for pile testing |
| Start Year | 2018 |
| Description | FO instrumentation of 2 tall towers in London - Nicky de Battista |
| Organisation | Multiplex Construction |
| Country | Australia |
| Sector | Private |
| PI Contribution | FO instrumentation of 2 tall towers in London |
| Collaborator Contribution | FO instrumentation of 2 tall towers in London |
| Impact | FO instrumentation of 2 tall towers in London |
| Start Year | 2018 |
| Description | FO instrumentation of test piles in San Francisco - Berkeley University - Nicky de Battista |
| Organisation | University of California, Berkeley |
| Country | United States |
| Sector | Academic/University |
| PI Contribution | FO instrumentation of test piles in San Francisco |
| Collaborator Contribution | FO instrumentation of test piles in San Francisco |
| Impact | FO instrumentation of test piles in San Francisco |
| Start Year | 2018 |
| Description | Febus - PTK |
| Organisation | FEBUS Optics |
| Country | France |
| Sector | Private |
| PI Contribution | Development of high speed Brillouin Optical Time Domain Reflectometry (BOTDR) fibre optic technology |
| Collaborator Contribution | Development of high speed Brillouin Optical Time Domain Reflectometry (BOTDR) fibre optic technology |
| Impact | Development of high speed Brillouin Optical Time Domain Reflectometry (BOTDR) fibre optic technology |
| Start Year | 2017 |
| Description | Femtofibertec- PTK |
| Organisation | Femtofibertec |
| Country | Germany |
| Sector | Private |
| PI Contribution | Low-cost FBG sensor array development |
| Collaborator Contribution | Low-cost FBG sensor array development |
| Impact | Low-cost FBG sensor array development |
| Start Year | 2016 |
| Description | Fit-for-Purpose Asset Information Requirements based on Asset Functions |
| Organisation | Jacobs Engineering Group |
| Country | United States |
| Sector | Private |
| PI Contribution | CSIC investigator Ajith Parlikad and Jacobs working on secondment project 'Fit-for-Purpose Asset Information Requirements based on Asset Functions' |
| Collaborator Contribution | As above. |
| Impact | Collaboration is still active, outputs and outcomes not yet known. |
| Start Year | 2019 |
| Description | GE Aviation - AS |
| Organisation | GE Aviation Systems |
| Country | United States |
| Sector | Private |
| PI Contribution | Innovate UK projects on MEMS energy harvesting and self-powered wireless sensors |
| Collaborator Contribution | Innovate UK projects on MEMS energy harvesting and self-powered wireless sensors |
| Impact | Innovate UK projects on MEMS energy harvesting and self-powered wireless sensors |
| Start Year | 2013 |
| Description | Geocisa, Dragados - MSA |
| Organisation | Geocisa UK |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Bank Station Capacity Upgrade Mansion House and St Mary Abchurch monitoring |
| Collaborator Contribution | Bank Station Capacity Upgrade Mansion House and St Mary Abchurch monitoring |
| Impact | Bank Station Capacity Upgrade Mansion House and St Mary Abchurch monitoring |
| Start Year | 2017 |
| Description | Geosense - PTK |
| Organisation | Geosense |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Crossrail tunnel wireless XY tilt sensors |
| Collaborator Contribution | Crossrail tunnel wireless XY tilt sensors |
| Impact | Crossrail tunnel wireless XY tilt sensors |
| Start Year | 2014 |
| Description | Geosica April 2017 to January 2020 Historical building monitoring - Cedric Kechavarzi |
| Organisation | Geocisa UK |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Geosica no April 2017 to January 2020 Historical building monitoring |
| Collaborator Contribution | Geosica no April 2017 to January 2020 Historical building monitoring |
| Impact | Geosica no April 2017 to January 2020 Historical building monitoring |
| Start Year | 2017 |
| Description | Growing Underground |
| Organisation | Growing Underground |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Digital twin of the underground farm to help optimize their crop yield and design the expansion |
| Collaborator Contribution | supported our research with giving us access to the site for monitoring and with other data |
| Impact | 1 book chapter, several presentations at seminars |
| Start Year | 2015 |
| Description | Growing Underground - Paul Fidler |
| Organisation | Growing Underground |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Collaboration |
| Collaborator Contribution | Collaboration |
| Impact | Growing Underground |
| Start Year | 2017 |
| Description | Gwynedd Council - PTK |
| Organisation | Gwynedd Council |
| Country | United Kingdom |
| Sector | Public |
| PI Contribution | Brazil Wall movement, and Road condition monitoring |
| Collaborator Contribution | Brazil Wall movement, and Road condition monitoring |
| Impact | Brazil Wall movement, and Road condition monitoring |
| Start Year | 2015 |
| Description | HS2 - PTK |
| Organisation | Phi Theta Kappa Honor Society |
| Country | United States |
| Sector | Charity/Non Profit |
| PI Contribution | HS2 Bored concrete Piles Challenge |
| Collaborator Contribution | HS2 Bored concrete Piles Challenge |
| Impact | HS2 Bored concrete Piles Challenge |
| Start Year | 2017 |
| Description | Hertfordshire County Council - AKNP and ZL |
| Organisation | Hertfordshire Sports Village |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | (1) Asset management for bridge networks. (2) Improve deterioration model for bridges with inspections data. (3) Prioritize maintenance activities for 11 bridges along A10 in Hertfordshire. (4) Group maintenance activities to reduce the traffic management cost in the bridge network. They have agreed on future support on providing historical principle and general inspections data for the 11 bridges. |
| Collaborator Contribution | (1) Asset management for bridge networks. (2) Improve deterioration model for bridges with inspections data. (3) Prioritize maintenance activities for 11 bridges along A10 in Hertfordshire. (4) Group maintenance activities to reduce the traffic management cost in the bridge network. They have agreed on future support on providing historical principle and general inspections data for the 11 bridges. |
| Impact | (1) Asset management for bridge networks. (2) Improve deterioration model for bridges with inspections data. (3) Prioritize maintenance activities for 11 bridges along A10 in Hertfordshire. (4) Group maintenance activities to reduce the traffic management cost in the bridge network. They have agreed on future support on providing historical principle and general inspections data for the 11 bridges. |
| Start Year | 2016 |
| Description | Hertfordshire county council - ZhL |
| Organisation | Hertfordshire County Council |
| Country | United Kingdom |
| Sector | Public |
| PI Contribution | Asset management for bridge networks |
| Collaborator Contribution | Asset management for bridge networks |
| Impact | Asset management for bridge networks |
| Start Year | 2016 |
| Description | Highways England - PTK |
| Organisation | Department of Transport |
| Department | Highways Agency |
| Country | United Kingdom |
| Sector | Public |
| PI Contribution | A14 Road Noise Monitoring A14 Abutment monitoring using FO Geogrids |
| Collaborator Contribution | A14 Road Noise Monitoring A14 Abutment monitoring using FO Geogrids |
| Impact | A14 Road Noise Monitoring A14 Abutment monitoring using FO Geogrids |
| Start Year | 2017 |
| Description | Historic England |
| Organisation | Historic England |
| Country | United Kingdom |
| Sector | Public |
| PI Contribution | Assessment/monitoring of heritage structures |
| Collaborator Contribution | Assessment/monitoring of heritage structures |
| Impact | Assessment/monitoring of heritage structures |
| Start Year | 2015 |
| Description | Huesker - Sinkhole Detection Development PK |
| Organisation | Huesker |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Sinkhole Detection Development |
| Collaborator Contribution | Sinkhole Detection Development |
| Impact | Sinkhole Detection Development |
| Start Year | 2018 |
| Description | Huesker UK - PTK |
| Organisation | Huesker |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Instrumented Geogrid |
| Collaborator Contribution | Instrumented Geogrid |
| Impact | Instrumented Geogrid |
| Start Year | 2017 |
| Description | Humber Bridge - PTK |
| Organisation | Humber Bridge Board |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Work on Humber Bridge |
| Collaborator Contribution | Work on Humber Bridge |
| Impact | Work on Humber Bridge |
| Start Year | 2015 |
| Description | IHI - AS |
| Organisation | Institute for Healthcare Improvement (IHI) |
| Country | United States |
| Sector | Charity/Non Profit |
| PI Contribution | Low-power MEMS strain sensors and field deployment |
| Collaborator Contribution | Low-power MEMS strain sensors and field deployment |
| Impact | Low-power MEMS strain sensors and field deployment |
| Start Year | 2015 |
| Description | ITM Soil - PTK |
| Organisation | ITM Soil |
| Sector | Private |
| PI Contribution | Dam monitoring |
| Collaborator Contribution | Dam monitoring |
| Impact | Dam monitoring |
| Start Year | 2015 |
| Description | Imetrum - MSA |
| Organisation | Imetrum |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Workshops for learning their Video Gauge software |
| Collaborator Contribution | Workshops for learning their Video Gauge software |
| Impact | Workshops for learning their Video Gauge software |
| Start Year | 2016 |
| Description | Imperial College London/Berkeley University/Alan Turing Institute - Statistical Shape Analysis; Structural Alert System for Marsh Lane Bridge |
| Organisation | Alan Turing Institute |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Statistical Shape Analysis; Structural Alert System for Marsh Lane Bridge |
| Collaborator Contribution | Statistical Shape Analysis; Structural Alert System for Marsh Lane Bridge |
| Impact | Statistical Shape Analysis; Structural Alert System for Marsh Lane Bridge |
| Start Year | 2018 |
| Description | Imperial College London/Berkeley University/Alan Turing Institute - Statistical Shape Analysis; Structural Alert System for Marsh Lane Bridge |
| Organisation | Imperial College London |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Statistical Shape Analysis; Structural Alert System for Marsh Lane Bridge |
| Collaborator Contribution | Statistical Shape Analysis; Structural Alert System for Marsh Lane Bridge |
| Impact | Statistical Shape Analysis; Structural Alert System for Marsh Lane Bridge |
| Start Year | 2018 |
| Description | Imperial College London/Berkeley University/Alan Turing Institute - Statistical Shape Analysis; Structural Alert System for Marsh Lane Bridge |
| Organisation | University of California, Berkeley |
| Country | United States |
| Sector | Academic/University |
| PI Contribution | Statistical Shape Analysis; Structural Alert System for Marsh Lane Bridge |
| Collaborator Contribution | Statistical Shape Analysis; Structural Alert System for Marsh Lane Bridge |
| Impact | Statistical Shape Analysis; Structural Alert System for Marsh Lane Bridge |
| Start Year | 2018 |
| Description | Imperial College, London AEY |
| Organisation | Imperial College London |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Research Grant co-working |
| Collaborator Contribution | Research Grant co-working |
| Impact | Research Grant co-working |
| Start Year | 2015 |
| Description | Improbable - RC |
| Organisation | Improbable |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Knowledge Transfer Fellowship |
| Collaborator Contribution | Knowledge Transfer Fellowship |
| Impact | Knowledge Transfer Fellowship |
| Start Year | 2016 |
| Description | Informing the 'Digital Blueprint' for the Houses of Parliament |
| Organisation | Parliament of UK |
| Country | United Kingdom |
| Sector | Public |
| PI Contribution | Jennifer Schooling and Houses of Parliament working on secondment project Informing the 'Digital Blueprint' for the Houses of Parliament |
| Collaborator Contribution | As above. |
| Impact | Collaboration still active, outcomes and outputs not yet know. |
| Start Year | 2020 |
| Description | James Dyson Building - monitoring of superstructure - NdB |
| Organisation | University of Cambridge |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Project management; Site visits and discussion with client; Monitoring system design and preparation; Installation on site. |
| Collaborator Contribution | Project management; Site visits and discussion with client; Monitoring system design and preparation; Installation on site. |
| Impact | Project management; Site visits and discussion with client; Monitoring system design and preparation; Installation on site. |
| Start Year | 2014 |
| Description | John Grill Centre, University of Sydney - CRM |
| Organisation | University of Sydney |
| Department | John Grill Centre |
| Country | Australia |
| Sector | Academic/University |
| PI Contribution | Promoting more innovative and customer-focused infrastructure design in Australia |
| Collaborator Contribution | Promoting more innovative and customer-focused infrastructure design in Australia |
| Impact | Promoting more innovative and customer-focused infrastructure design in Australia |
| Start Year | 2016 |
| Description | KTN- PTK |
| Organisation | Knowledge Transfer Network |
| Country | United Kingdom |
| Sector | Charity/Non Profit |
| PI Contribution | HS2 Bored concrete Piles Challenge |
| Collaborator Contribution | HS2 Bored concrete Piles Challenge |
| Impact | HS2 Bored concrete Piles Challenge |
| Start Year | 2017 |
| Description | Keller - CK |
| Organisation | Keller Ltd |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | 3 pile load tests |
| Collaborator Contribution | 3 pile load tests |
| Impact | 3 pile load tests |
| Start Year | 2016 |
| Description | Keltbray - CK |
| Organisation | Keltbray |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | 2 pile load tests |
| Collaborator Contribution | 2 pile load tests |
| Impact | 2 pile load tests |
| Start Year | 2016 |
| Description | Keltbray Piling - NdB |
| Organisation | Keltbray |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Instrumentation and monitoring of RC test piles |
| Collaborator Contribution | Instrumentation and monitoring of RC test piles |
| Impact | Instrumentation and monitoring of RC test piles |
| Start Year | 2016 |
| Description | LDA - Design - YJ |
| Organisation | LDA Design |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Strategic LEP economic plan |
| Collaborator Contribution | Strategic LEP economic plan |
| Impact | Strategic LEP economic plan |
| Start Year | 2016 |
| Description | Laing O'Rourke - LB |
| Organisation | Laing O'Rourke |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Staffordshire Alliance Bridge Monitoring Project (EPSRC) |
| Collaborator Contribution | Staffordshire Alliance Bridge Monitoring Project (EPSRC) |
| Impact | Staffordshire Alliance Bridge Monitoring Project (EPSRC) |
| Start Year | 2014 |
| Description | Laing O'Rourke - PTK |
| Organisation | Laing O'Rourke |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Pile monitoring , Francis Crick, Staffpordshiore Bridges |
| Collaborator Contribution | Pile monitoring , Francis Crick, Staffpordshiore Bridges |
| Impact | Pile monitoring , Francis Crick, Staffpordshiore Bridges |
| Start Year | 2015 |
| Description | London Underground - PTK |
| Organisation | Transport for London |
| Department | London Underground |
| Country | United Kingdom |
| Sector | Public |
| PI Contribution | Smart Plan, Iron tunnel segments |
| Collaborator Contribution | Smart Plan, Iron tunnel segments |
| Impact | Smart Plan, Iron tunnel segments |
| Start Year | 2015 |
| Description | MEMS surface gravimeter for geotechnical surveying |
| Organisation | Silicon Microgravity Ltd. |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Ashwin Seshia and Silicon Micrograity working on secondment project 'MEMS surface gravimeter for geotechnical surveying' |
| Collaborator Contribution | As above. |
| Impact | Collaboration still active, outputs and outcomes not yet known. |
| Start Year | 2019 |
| Description | McLaren Applied Technologies - AS |
| Organisation | McLaren Applied Technologies |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Innovate UK project on self-powered wireless sensors |
| Collaborator Contribution | Innovate UK project on self-powered wireless sensors |
| Impact | Innovate UK project on self-powered wireless sensors |
| Start Year | 2015 |
| Description | McLaren Racing Limited - HA |
| Organisation | McLaren Racing |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Small size sensors (Fibre Bragg Grating) |
| Collaborator Contribution | Small size sensors (Fibre Bragg Grating) |
| Impact | Small size sensors (Fibre Bragg Grating) |
| Start Year | 2015 |
| Description | Metrodynamics, UK - ES |
| Organisation | Metro Dynamics |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Metropolitan planning and stakeholder engagement |
| Collaborator Contribution | Metropolitan planning and stakeholder engagement |
| Impact | Metropolitan planning and stakeholder engagement |
| Start Year | 2016 |
| Description | Modelling and Monitoring of Urban Underground Climate Change |
| Organisation | Alan Turing Institute |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | The Universities of Cambridge and California, Berkeley, in partnership with the British Geological Survey, are launching a joint project on Modelling and Monitoring of Urban Underground Climate Change. This project is run as part of the Data Centric Engineering Research Programme at the Alan Turing Institute and the Centre for Smart Infrastructure and Construction at the University of Cambridge. The objective of this NSF(US)-EPSRC(UK) funded research is to better understand impacts of urban underground infrastructure, such as basements and tunnels, on shallow subsurface temperature increase at city-scale. Overview In dense urban areas, the underground is exploited for a variety of purposes, including transport, additional residential/commercial spaces, storage, and industrial processes. With the rise in urban populations and significant improvements in construction technologies, the number of subsurface structures is expected to grow in the next decade, leading to subsurface congestion. Recently emerging data indicate a significant impact of underground construction on subsurface temperature and there is extensive evidence of underground temperature rise at the local scale. Although it is well known that urbanization coupled with climate change is amplifying the urban heat island effect above ground, the extent of the underground climate change at the city scale is unknown because of limited work on modelling the historical and future underground climate change at large scale and very limited long-term underground temperature monitoring. The hypothesis of this research is that (a) the high ground temperature around tunnels and underground basements, (b) the observed temperature increase within the aquifer, and (c) inefficiency in ventilation of the underground railway networks, necessitate more detailed and reliable knowledge of urban underground thermal status. The project will develop a framework for monitoring and predicting temperature and groundwater distributions at high resolutions in the presence of underground heat sources and sinks. This can be achieved via a combination of numerical modelling, continuous temperature and groundwater monitoring and statistical analyses. The ultimate goal is for every city to generate reliable maps of underground climate, with the ability to understand the influence of future urbanization scenarios. |
| Collaborator Contribution | As above. |
| Impact | No impact yet. |
| Start Year | 2019 |
| Description | Modelling and Monitoring of Urban Underground Climate Change |
| Organisation | British Geological Survey |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | The Universities of Cambridge and California, Berkeley, in partnership with the British Geological Survey, are launching a joint project on Modelling and Monitoring of Urban Underground Climate Change. This project is run as part of the Data Centric Engineering Research Programme at the Alan Turing Institute and the Centre for Smart Infrastructure and Construction at the University of Cambridge. The objective of this NSF(US)-EPSRC(UK) funded research is to better understand impacts of urban underground infrastructure, such as basements and tunnels, on shallow subsurface temperature increase at city-scale. Overview In dense urban areas, the underground is exploited for a variety of purposes, including transport, additional residential/commercial spaces, storage, and industrial processes. With the rise in urban populations and significant improvements in construction technologies, the number of subsurface structures is expected to grow in the next decade, leading to subsurface congestion. Recently emerging data indicate a significant impact of underground construction on subsurface temperature and there is extensive evidence of underground temperature rise at the local scale. Although it is well known that urbanization coupled with climate change is amplifying the urban heat island effect above ground, the extent of the underground climate change at the city scale is unknown because of limited work on modelling the historical and future underground climate change at large scale and very limited long-term underground temperature monitoring. The hypothesis of this research is that (a) the high ground temperature around tunnels and underground basements, (b) the observed temperature increase within the aquifer, and (c) inefficiency in ventilation of the underground railway networks, necessitate more detailed and reliable knowledge of urban underground thermal status. The project will develop a framework for monitoring and predicting temperature and groundwater distributions at high resolutions in the presence of underground heat sources and sinks. This can be achieved via a combination of numerical modelling, continuous temperature and groundwater monitoring and statistical analyses. The ultimate goal is for every city to generate reliable maps of underground climate, with the ability to understand the influence of future urbanization scenarios. |
| Collaborator Contribution | As above. |
| Impact | No impact yet. |
| Start Year | 2019 |
| Description | Modelling and Monitoring of Urban Underground Climate Change |
| Organisation | University of California, Berkeley |
| Country | United States |
| Sector | Academic/University |
| PI Contribution | The Universities of Cambridge and California, Berkeley, in partnership with the British Geological Survey, are launching a joint project on Modelling and Monitoring of Urban Underground Climate Change. This project is run as part of the Data Centric Engineering Research Programme at the Alan Turing Institute and the Centre for Smart Infrastructure and Construction at the University of Cambridge. The objective of this NSF(US)-EPSRC(UK) funded research is to better understand impacts of urban underground infrastructure, such as basements and tunnels, on shallow subsurface temperature increase at city-scale. Overview In dense urban areas, the underground is exploited for a variety of purposes, including transport, additional residential/commercial spaces, storage, and industrial processes. With the rise in urban populations and significant improvements in construction technologies, the number of subsurface structures is expected to grow in the next decade, leading to subsurface congestion. Recently emerging data indicate a significant impact of underground construction on subsurface temperature and there is extensive evidence of underground temperature rise at the local scale. Although it is well known that urbanization coupled with climate change is amplifying the urban heat island effect above ground, the extent of the underground climate change at the city scale is unknown because of limited work on modelling the historical and future underground climate change at large scale and very limited long-term underground temperature monitoring. The hypothesis of this research is that (a) the high ground temperature around tunnels and underground basements, (b) the observed temperature increase within the aquifer, and (c) inefficiency in ventilation of the underground railway networks, necessitate more detailed and reliable knowledge of urban underground thermal status. The project will develop a framework for monitoring and predicting temperature and groundwater distributions at high resolutions in the presence of underground heat sources and sinks. This can be achieved via a combination of numerical modelling, continuous temperature and groundwater monitoring and statistical analyses. The ultimate goal is for every city to generate reliable maps of underground climate, with the ability to understand the influence of future urbanization scenarios. |
| Collaborator Contribution | As above. |
| Impact | No impact yet. |
| Start Year | 2019 |
| Description | Monitoring of concrete bridges with acoustic emission sensors |
| Organisation | Department of Transport |
| Department | Highways Agency |
| Country | United Kingdom |
| Sector | Public |
| PI Contribution | Highways England - Monitoring of concrete bridges with acoustic emission sensors The research will explore the benefits of acoustic emission monitoring on damage detection, characterisation and localisation in concrete bridges, enhanced by multi-sensing information from fibre optics and environmental sensors. The main objective is the development of data processing tools for the structural performance assessment of bridges, through continuous infrastructure monitoring and experimental studies. This research and development project is partly funded by Highways England and it is planned a highway bridge will be fully instrumented during this project in collaboration with Mistras Group Ltd, a leading acoustic emission sensing provider. |
| Collaborator Contribution | As above. |
| Impact | Project still active, outputs and outcomes not yet known |
| Start Year | 2019 |
| Description | Monitoring of concrete bridges with acoustic emission sensors |
| Organisation | Kier Group |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Highways England - Monitoring of concrete bridges with acoustic emission sensors The research will explore the benefits of acoustic emission monitoring on damage detection, characterisation and localisation in concrete bridges, enhanced by multi-sensing information from fibre optics and environmental sensors. The main objective is the development of data processing tools for the structural performance assessment of bridges, through continuous infrastructure monitoring and experimental studies. This research and development project is partly funded by Highways England and it is planned a highway bridge will be fully instrumented during this project in collaboration with Mistras Group Ltd, a leading acoustic emission sensing provider. |
| Collaborator Contribution | As above. |
| Impact | Project still active, outputs and outcomes not yet known |
| Start Year | 2019 |
| Description | Monitoring of concrete bridges with acoustic emission sensors |
| Organisation | Mistras Group Ltd |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Highways England - Monitoring of concrete bridges with acoustic emission sensors The research will explore the benefits of acoustic emission monitoring on damage detection, characterisation and localisation in concrete bridges, enhanced by multi-sensing information from fibre optics and environmental sensors. The main objective is the development of data processing tools for the structural performance assessment of bridges, through continuous infrastructure monitoring and experimental studies. This research and development project is partly funded by Highways England and it is planned a highway bridge will be fully instrumented during this project in collaboration with Mistras Group Ltd, a leading acoustic emission sensing provider. |
| Collaborator Contribution | As above. |
| Impact | Project still active, outputs and outcomes not yet known |
| Start Year | 2019 |
| Description | Monitoring of tall building during construction - Nicky de Battista |
| Organisation | Multiplex Construction |
| Country | Australia |
| Sector | Private |
| PI Contribution | Monitoring of tall building during construction |
| Collaborator Contribution | Monitoring of tall building during construction |
| Impact | Monitoring of tall building during construction |
| Start Year | 2017 |
| Description | Mott MacDonald - CRM |
| Organisation | Mott Macdonald UK Ltd |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Measuring effectiveness of @one Alliance consortium for delivering long term infrastructure upgrade programme (with prospective PhD student Daniel Brackenbury) |
| Collaborator Contribution | Measuring effectiveness of @one Alliance consortium for delivering long term infrastructure upgrade programme (with prospective PhD student Daniel Brackenbury) |
| Impact | Measuring effectiveness of @one Alliance consortium for delivering long term infrastructure upgrade programme (with prospective PhD student Daniel Brackenbury) |
| Start Year | 2016 |
| Description | Mott MacDonald - PTK |
| Organisation | Mott Macdonald UK Ltd |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Instrumentation of sheet piling with FBG sensors and measurement during pile installation at Trinity Hall. |
| Collaborator Contribution | Instrumentation of sheet piling with FBG sensors and measurement during pile installation at Trinity Hall. |
| Impact | Instrumentation of sheet piling with FBG sensors and measurement during pile installation at Trinity Hall. |
| Start Year | 2015 |
| Description | Mott MacDonald - ZL |
| Organisation | Mott Macdonald UK Ltd |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Develop user friendly software for asset management of bridge systems |
| Collaborator Contribution | Develop user friendly software for asset management of bridge systems |
| Impact | Develop user friendly software for asset management of bridge systems |
| Start Year | 2017 |
| Description | Mott MacDonald instrumentation of sheet piling with FBG sensors and measurement during pile installation at Trinity Hall - JMS |
| Organisation | Mott Macdonald UK Ltd |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | instrumentation of sheet piling with FBG sensors and measurement during pile installation at Trinity Hall |
| Collaborator Contribution | instrumentation of sheet piling with FBG sensors and measurement during pile installation at Trinity Hall |
| Impact | instrumentation of sheet piling with FBG sensors and measurement during pile installation at Trinity Hall |
| Start Year | 2016 |
| Description | Mouchel - PTK |
| Organisation | Mouchel Group PLC |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Detection of defects in water courses |
| Collaborator Contribution | Detection of defects in water courses |
| Impact | Detection of defects in water courses |
| Start Year | 2015 |
| Description | Multi-sensing structural health monitoring of a skewed masonry arch bridge |
| Organisation | AECOM Technology Corporation |
| Department | AECOM, Nottingham, UK |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | In 2018, Network Rail commissioned CSIC and AECOM to install structural health monitoring technologies on a skewed masonry arch bridge in North Yorkshire, which had suffered extensive historic damage. The technologies would monitor how the 150-year-old bridge behaved structurally and how it was responding to intervention work carried out in 2016. Network Rail also wanted to explore available monitoring technologies to determine which ones worked well and could be used on other assets. The system traditionally used in the UK is deflection pole monitoring, which measures vertical crown displacements at the arch soffit under the centre of the tracks above. However, this method often entails difficulties with access and may require costly and disruptive road closures. Bespoke monitoring system Following several desk studies, laser vibrometry and laser scanning at an initial monitoring visit, engineers were able to study the environment of the bridge and design a bespoke monitoring system. The vibrometry was used to provide an initial gauge of the magnitude of movements that the bridge was experiencing under typical train loading. The laser scan data was used to profile the surface of the bridge and to decide the locations of monitoring equipment, given the constraints of an A-road and footpath running underneath it. CSIC installed distributed monitoring technologies, including a network of fibre optic Fibre Bragg Gratings for detailed dynamic measurement of strains across the arch, a laser scan analysis of historic deformations, and videogrammetry to capture dynamic displacements. AECOM installed an autonomous remote monitoring system comprising a range of dynamic, point-sensing technologies. Real-time monitoring with this system allows for accurate tracking of long-term trends in the monitoring data. The bridge was monitored for six months from September 2018 to February 2019. Both teams from AECOM and CSIC analysed large quantities of data to co-author a series of reports for Network Rail. The reports summarised the studies undertaken before installation, the reasons the system was chosen, the evaluation of the technologies used, and the results to date. An upcoming report will also provide guidance on monitoring technologies that can be used as alternatives to the deflection pole method. Next steps Following internal review by the client, it is intended that these reports will be submitted to the European Shift2Rail programme as examples of research that Network Rail is supporting. Network Rail is also commissioning AECOM and CSIC to perform long-term monitoring of the bridge, which demonstrates the value of the installed monitoring system and the benefits of long-term structural health monitoring. As part of this, the CSIC FBG system will be upgraded to be autonomous and self-sufficient, running on solar power in the same way as AECOM's remote point-sensing system. This enables FBG measurements to be taken automatically and monitoring data transferred back to the CSIC office for analysis. The teams from AECOM and CSIC have also been invited to present the project results to other asset engineers at Network Rail as an example of best practice. This project has enabled CSIC to continue the development of fibre optic monitoring of heritage structures and carry out research into the fundamental behaviour of an existing skewed masonry arch railway bridge. Following refinement of the monitoring system at this bridge, it is expected that more testing on other bridges will take place in the next year. |
| Collaborator Contribution | As above. |
| Impact | CSIC's innovative way of monitoring the health of ageing railway infrastructure won the New Civil Engineer TechFest Rail Visionary award. The award recognises organisations developing pioneering ideas and designs to effect major changes in the global rail sector. The University of Cambridge, Innovative Structural Health Monitoring of Ageing Railway Infrastructure and Smart Monitoring for Condition Assessment of Ageing Infrastructure (a collaboration between CSIC, AECOM, Network Rail and the Alan Turing Institute (ATI)) showcases two bespoke monitoring systems designed for a masonry arch bridge and viaduct, both in Yorkshire. As well as enabling fundamental research into the behaviour of these heritage structures, the detailed monitoring data is also being used to research novel, statistical-based approaches to asset management and structural assessment, through collaboration between CSIC and ATI. Furthermore, at one of these structures, a skewed masonry arch bridge, Network Rail wanted to explore available monitoring technologies to determine systems with the potential to be used on other assets. |
| Start Year | 2018 |
| Description | Multi-sensing structural health monitoring of a skewed masonry arch bridge |
| Organisation | Network Rail Ltd |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | In 2018, Network Rail commissioned CSIC and AECOM to install structural health monitoring technologies on a skewed masonry arch bridge in North Yorkshire, which had suffered extensive historic damage. The technologies would monitor how the 150-year-old bridge behaved structurally and how it was responding to intervention work carried out in 2016. Network Rail also wanted to explore available monitoring technologies to determine which ones worked well and could be used on other assets. The system traditionally used in the UK is deflection pole monitoring, which measures vertical crown displacements at the arch soffit under the centre of the tracks above. However, this method often entails difficulties with access and may require costly and disruptive road closures. Bespoke monitoring system Following several desk studies, laser vibrometry and laser scanning at an initial monitoring visit, engineers were able to study the environment of the bridge and design a bespoke monitoring system. The vibrometry was used to provide an initial gauge of the magnitude of movements that the bridge was experiencing under typical train loading. The laser scan data was used to profile the surface of the bridge and to decide the locations of monitoring equipment, given the constraints of an A-road and footpath running underneath it. CSIC installed distributed monitoring technologies, including a network of fibre optic Fibre Bragg Gratings for detailed dynamic measurement of strains across the arch, a laser scan analysis of historic deformations, and videogrammetry to capture dynamic displacements. AECOM installed an autonomous remote monitoring system comprising a range of dynamic, point-sensing technologies. Real-time monitoring with this system allows for accurate tracking of long-term trends in the monitoring data. The bridge was monitored for six months from September 2018 to February 2019. Both teams from AECOM and CSIC analysed large quantities of data to co-author a series of reports for Network Rail. The reports summarised the studies undertaken before installation, the reasons the system was chosen, the evaluation of the technologies used, and the results to date. An upcoming report will also provide guidance on monitoring technologies that can be used as alternatives to the deflection pole method. Next steps Following internal review by the client, it is intended that these reports will be submitted to the European Shift2Rail programme as examples of research that Network Rail is supporting. Network Rail is also commissioning AECOM and CSIC to perform long-term monitoring of the bridge, which demonstrates the value of the installed monitoring system and the benefits of long-term structural health monitoring. As part of this, the CSIC FBG system will be upgraded to be autonomous and self-sufficient, running on solar power in the same way as AECOM's remote point-sensing system. This enables FBG measurements to be taken automatically and monitoring data transferred back to the CSIC office for analysis. The teams from AECOM and CSIC have also been invited to present the project results to other asset engineers at Network Rail as an example of best practice. This project has enabled CSIC to continue the development of fibre optic monitoring of heritage structures and carry out research into the fundamental behaviour of an existing skewed masonry arch railway bridge. Following refinement of the monitoring system at this bridge, it is expected that more testing on other bridges will take place in the next year. |
| Collaborator Contribution | As above. |
| Impact | CSIC's innovative way of monitoring the health of ageing railway infrastructure won the New Civil Engineer TechFest Rail Visionary award. The award recognises organisations developing pioneering ideas and designs to effect major changes in the global rail sector. The University of Cambridge, Innovative Structural Health Monitoring of Ageing Railway Infrastructure and Smart Monitoring for Condition Assessment of Ageing Infrastructure (a collaboration between CSIC, AECOM, Network Rail and the Alan Turing Institute (ATI)) showcases two bespoke monitoring systems designed for a masonry arch bridge and viaduct, both in Yorkshire. As well as enabling fundamental research into the behaviour of these heritage structures, the detailed monitoring data is also being used to research novel, statistical-based approaches to asset management and structural assessment, through collaboration between CSIC and ATI. Furthermore, at one of these structures, a skewed masonry arch bridge, Network Rail wanted to explore available monitoring technologies to determine systems with the potential to be used on other assets. |
| Start Year | 2018 |
| Description | Multiplex - NdB |
| Organisation | Multiplex Construction |
| Country | Australia |
| Sector | Private |
| PI Contribution | Monitoring of tall building during construction |
| Collaborator Contribution | Monitoring of tall building during construction |
| Impact | Monitoring of tall building during construction |
| Start Year | 2016 |
| Description | Myriad CEG Limited - PTK |
| Organisation | Myriad Heat and Power Products Ltd |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Thermal piles |
| Collaborator Contribution | Thermal piles |
| Impact | Thermal piles |
| Start Year | 2015 |
| Description | NPL (National Physical Laboratory) - CRM |
| Organisation | National Physical Laboratory |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Discussions on parameters for NPL-sponsored PhD studentship for Sakthy Selvakumaran to study structural health monitoring of bridges. |
| Collaborator Contribution | Discussions on parameters for NPL-sponsored PhD studentship for Sakthy Selvakumaran to study structural health monitoring of bridges. |
| Impact | Discussions on parameters for NPL-sponsored PhD studentship for Sakthy Selvakumaran to study structural health monitoring of bridges. |
| Start Year | 2015 |
| Description | National Grid - PTK |
| Organisation | The National Grid Co plc |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Tunnel segments and tunnel monitoring |
| Collaborator Contribution | Tunnel segments and tunnel monitoring |
| Impact | Tunnel segments and tunnel monitoring |
| Start Year | 2015 |
| Description | Network Rail |
| Organisation | Network Rail Ltd |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Leeds Masonry arch |
| Collaborator Contribution | Leeds Masonry arch |
| Impact | Leeds Masonry arch |
| Start Year | 2015 |
| Description | Network Rail - HA |
| Organisation | Network Rail Ltd |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Installation of distributed and discrete (FBG) optical fibre sensors on a Victorian masonry arch rail bridge, Leeds. |
| Collaborator Contribution | Installation of distributed and discrete (FBG) optical fibre sensors on a Victorian masonry arch rail bridge, Leeds. |
| Impact | Installation of distributed and discrete (FBG) optical fibre sensors on a Victorian masonry arch rail bridge, Leeds. |
| Start Year | 2015 |
| Description | Network Rail - HA |
| Organisation | Network Rail Ltd |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Data-centric Bridge Assessment (Marsh Lane Viaduct) |
| Collaborator Contribution | Data-centric Bridge Assessment (Marsh Lane Viaduct) |
| Impact | Data-centric Bridge Assessment (Marsh Lane Viaduct) |
| Start Year | 2017 |
| Description | Network Rail - JMS |
| Organisation | Network Rail Ltd |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Digital Railway programme |
| Collaborator Contribution | Digital Railway programme |
| Impact | Digital Railway programme |
| Start Year | 2017 |
| Description | Network Rail - LB |
| Organisation | Network Rail Ltd |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Staffordshire Alliance Bridge Monitoring Project (EPSRC) |
| Collaborator Contribution | Staffordshire Alliance Bridge Monitoring Project (EPSRC) |
| Impact | Staffordshire Alliance Bridge Monitoring Project (EPSRC) |
| Start Year | 2014 |
| Description | Network Rail - MJD |
| Organisation | Network Rail Ltd |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Monitoring of a masonry viaduct in Leeds |
| Collaborator Contribution | Monitoring of a masonry viaduct in Leeds |
| Impact | Monitoring of a masonry viaduct in Leeds |
| Start Year | 2015 |
| Description | Network Rail HS1 St Pancras - AKNP |
| Organisation | Network Rail Ltd |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | BIM |
| Collaborator Contribution | BIM |
| Impact | BIM |
| Start Year | 2016 |
| Description | Network Rail/BAM Nuttall/BAM Ritchies and L&C Precision - Development and testing of a rockfall monitoring system at Hooley Cutting PK |
| Organisation | BAM Nuttall |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Development and testing of a rockfall monitoring system at Hooley Cutting |
| Collaborator Contribution | Development and testing of a rockfall monitoring system at Hooley Cutting |
| Impact | CSIC has been shortlisted in six categories for the Ground Engineering Awards 2019, for the Hooley Cuttings Fibre Optic Sensing project. The project was a collaboration between Network Rail, BAM Nuttall, BAM Ritchies and L&C Precision and was led by CSIC Business Development Manager Philip Keenan. The categories in which CSIC have been shortlisted are: Award for digital innovation Award for equipment innovation Award for technical excellence Ground investigation project of the year - under £2M Health and safety award UK geotechnical team of the year. |
| Start Year | 2018 |
| Description | Network Rail/BAM Nuttall/BAM Ritchies and L&C Precision - Development and testing of a rockfall monitoring system at Hooley Cutting PK |
| Organisation | Network Rail Ltd |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Development and testing of a rockfall monitoring system at Hooley Cutting |
| Collaborator Contribution | Development and testing of a rockfall monitoring system at Hooley Cutting |
| Impact | CSIC has been shortlisted in six categories for the Ground Engineering Awards 2019, for the Hooley Cuttings Fibre Optic Sensing project. The project was a collaboration between Network Rail, BAM Nuttall, BAM Ritchies and L&C Precision and was led by CSIC Business Development Manager Philip Keenan. The categories in which CSIC have been shortlisted are: Award for digital innovation Award for equipment innovation Award for technical excellence Ground investigation project of the year - under £2M Health and safety award UK geotechnical team of the year. |
| Start Year | 2018 |
| Description | Network rail - MJD |
| Organisation | Network Rail Ltd |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Long term monitoring of masonry arch bridge assets |
| Collaborator Contribution | Long term monitoring of masonry arch bridge assets |
| Impact | Monitoring of a masonry viaduct in Leeds |
| Start Year | 2015 |
| Description | Noztek - PTK |
| Organisation | Noztek |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Development of fibre coating equipment |
| Collaborator Contribution | Development of fibre coating equipment |
| Impact | Development of fibre coating equipment |
| Start Year | 2017 |
| Description | Ongoing discussions November 2017-present - transportation - Alex Gkiokas |
| Organisation | Department of Transport |
| Department | Highways Agency |
| Country | United Kingdom |
| Sector | Public |
| PI Contribution | Ongoing discussions November 2017-present - transportation |
| Collaborator Contribution | Ongoing discussions November 2017-present - transportation |
| Impact | Ongoing discussions November 2017-present - transportation |
| Start Year | 2017 |
| Description | Ongoing discussions November 2017-present - water sector - Alex Giokas |
| Organisation | Mott Macdonald UK Ltd |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Ongoing discussions November 2017-present - water sector |
| Collaborator Contribution | Ongoing discussions November 2017-present - water sector |
| Impact | Ongoing discussions November 2017-present - water sector - Alex Giokas |
| Start Year | 2017 |
| Description | Optasense - PTK |
| Organisation | OptaSense |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | PhD Research proposal for road monitoring |
| Collaborator Contribution | PhD Research proposal for road monitoring |
| Impact | PhD Research proposal for road monitoring |
| Start Year | 2016 |
| Description | Optoelectronics Research Centre, University of Southampton - Dynamic distributed sensing with FO |
| Organisation | University of Southampton |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Optoelectronics Research Centre, University of Southampton - Dynamic distributed sensing with FO |
| Collaborator Contribution | Optoelectronics Research Centre, University of Southampton - Dynamic distributed sensing with FO |
| Impact | Optoelectronics Research Centre, University of Southampton - Dynamic distributed sensing with FO |
| Start Year | 2018 |
| Description | Peter Brett Associates - CR< |
| Organisation | Peter Brett Associates |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Smarter construction including re-use of existing piles, structural elements, off-site construction with incorporation of services and utilities design & integration of industry software platforms intelligently; smarter city design with a focus on energy & transport infrastructure |
| Collaborator Contribution | Smarter construction including re-use of existing piles, structural elements, off-site construction with incorporation of services and utilities design & integration of industry software platforms intelligently; smarter city design with a focus on energy & transport infrastructure |
| Impact | Smarter construction including re-use of existing piles, structural elements, off-site construction with incorporation of services and utilities design & integration of industry software platforms intelligently; smarter city design with a focus on energy & transport infrastructure |
| Start Year | 2016 |
| Description | Photogrammetric Study of Landslides and Rapid Ground Deformations |
| Organisation | Cam Dragon |
| Sector | Private |
| PI Contribution | CSIC investigator Dongfang Liang and Cam Dragon Corporation working on secondment project 'Photogrammetric Study of Landslides and Rapid Ground Deformations' |
| Collaborator Contribution | As above. |
| Impact | Collaboration still action, outputs and outcomes not yet known. |
| Start Year | 2019 |
| Description | Preliminary discussion about joint research project proposal - Nicky de Battista |
| Organisation | Arup Group |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Preliminary discussion about joint research project proposal |
| Collaborator Contribution | Preliminary discussion about joint research project proposal |
| Impact | Preliminary discussion about joint research project proposal |
| Start Year | 2018 |
| Description | Provide support for current projects and explore possible future collaboration with CSIC - Haris Alexakis |
| Organisation | National Instruments Corp (UK) Ltd |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Provide support for current projects and explore possible future collaboration with CSIC |
| Collaborator Contribution | Provide support for current projects and explore possible future collaboration with CSIC |
| Impact | Provide support for current projects and explore possible future collaboration with CSIC |
| Start Year | 2018 |
| Description | RedBite - Social networked smart infrastructure assets AP |
| Organisation | RedBite Solutions |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Social networked smart infrastructure assets |
| Collaborator Contribution | Social networked smart infrastructure assets |
| Impact | Social networked smart infrastructure assets |
| Start Year | 2018 |
| Description | Road degradation: a city-scale model to inform efficient asset management and maintenance |
| Organisation | University of California, Berkeley |
| Country | United States |
| Sector | Academic/University |
| PI Contribution | The scale of the problem Road degradation is an increasing problem for asset managers. Potholes are one of the main contributing factors and require local authorities to commit limited funding to maintenance and repairs. According to the Asphalt Industry Alliance (AIA) Annual Local Authority Road Maintenance Survey (ALARM) 2019, the total number of potholes filled in the past year (April 2018 to April 2019) in England and Wales totals 1,860,072 at a cost of £97.8m. The average cost to fill one pothole as part of planned maintenance is £39.80 compared to £65.10 for a reactive repair. Improving asset management A CSIC, University of Cambridge and University of California, Berkeley research project is examining the degradation of roads (evaluation considers potholes, cracks and other types of defects) with the aim of improving road asset management. Currently asset managers lack accurate methods to support decision-making on maintenance programmes resulting in an ad-hoc approach to deciding which areas of road to repair and maintain. A predictive and city-scale maintenance approach based on accurate information would allow more efficient planning, reducing the cost of works and disruption. Pavement condition data This research seeks to improve knowledge about local road degradation using road condition data from visual surveys published by the San Francisco Department of Public Works. This provides historical and current information on the Pavement Condition Index (PCI) of more than 12,000 street segments in the city (pavement in this context refers to road surface). Following recent advances in road condition monitoring, resulting data is becoming available in increasingly large spatial scales and high spatial resolutions. This brings both opportunities and challenges for road management: opportunities to understand network-wide condition change and maintenance needs at high spatio-temporal resolution; challenges to efficiently analyse large amounts of spatio-temporal data to identify meaningful and usable quantification to inform maintenance and management. Incorporating spatial and temporal dimensions Incorporating spatial and temporal dimensions into road degradation modelling secures a system-wide understanding for asset management. There are many difficulties in producing a reliable road condition prediction model, particularly with the strong presence of measurement errors inherent in visual surveys and lack of information on crucial degradation-affecting factors including construction quality, microclimate and ground conditions. To address the issue of 'imperfect data', additional structures in the data are considered to enable further insights of the street network. This research demonstrates that a hierarchical modelling approach can be applied in a more general manner to take advantage of natural spatial structures in the street network and considers the possible correlations between nearby road sections. Three road degradation models were designed to represent a range of modelling strategies, including a conventional approach that fits a degradation curve for each category (road material type and functional class, see Figure 1), as well as a spatial model that explicitly considers the similarities in degradation trends of neighbouring road segments. Benefits of spatial (SP) model The SP model coordinates degradation rates between adjacent street segments showing regions of high degradation rates in red and low in blue (see Figure 2). Results show a large part of the individual variations in degradation rates are explained by the spatially structured component but the most convincing strength of the SP model is its ability to identify high degradation rates. The SP model: Is able to estimate the degradation parameters for road sections with missing or erroneous observations by using information from adjacent sections Can visually illustrate regions where roads degrade faster than average Can assist asset managers to apply their attention to a smaller region. Smart infrastructure and management The spatial road degradation model proposed in this study emerges from recent advances in the field of smart infrastructure and management and is built on two decades of continuous records of cityscale road condition data. Such input data are premised on advanced sensing and digital data inventory technologies for road infrastructure. This model is also an example of how interdisciplinary data analysis techniques can contribute to the management of smart infrastructure. As a basis it addresses the imperfections (measurement errors and missing predictors) in road condition data and identifies critical regions where roads tend to age faster. Such results can support local engineers to conduct more informed inspections/site investigations, and make more effective asset management decisions. Future prospects The spatial model can support targeted inspections to investigate underlying causes of degradation in vulnerable regions and inform asset management decisions and activities by enabling system-level maintenance planning. Inter-disciplinary modelling for sustainable cityscale management In the longer term road degradation and traffic simulation modelling will be brought together to consider the sustainability of the cityscale transportation system through the modelling of potential emission mitigation scenarios. Currently, there are many carbon mitigation proposals within the transportation system, for example, eco-routing where drivers choose less congested and less bumpy routes. From the infrastructure asset management perspective, the opportunities include the adoption of recycled materials, roadwork schedules to minimise construction disruptions and maintenance allocations that prioritise the reduction of use phase emissions from vehicles. Current studies of both areas remain siloed; road engineers do not consider dynamics in traffic and traffic engineers do not consider condition of roads. Taking a systems approach enables network-wide impact in reducing emissions, total vehicle hours/distance travelled and overall road conditions to better manage traffic congestion and associated pollution and inform more efficient asset management. |
| Collaborator Contribution | As above. |
| Impact | Collaboration is still active. |
| Start Year | 2018 |
| Description | SAFEWAY |
| Organisation | DEMO Consultants |
| Country | Netherlands |
| Sector | Private |
| PI Contribution | The SAFEWAY project The SAFEWAY project, a GIS-Based Infrastructure Management System for Optimised Response to Extreme Events on Terrestrial Transport Networks, aims to address the ability of transport systems to function during adverse conditions and quickly recover to acceptable levels of service after extreme events. SAFEWAY develops a transversal solution mainly focused on terrestrial transport modes, including both roads and railway infrastructure networks. Several of the SAFEWAY modules (mainly monitoring and risk prediction) can also be applied to other transport modes such as maritime. The main objective of the project is to design, validate and implement holistic methods, strategies, tools and technical interventions to significantly increase the resilience of inland transport infrastructure by reducing risk vulnerability and strengthening network systems to extreme events. The University of Cambridge is one of 15 partners collaborating on the project, which is being coordinated by the University of Vigo, Spain. Challenges addressed SAFEWAY project tools and interventions will be deployed for critical hazards, both natural and man-made, including: wildfires in Portugal; floods, which currently account for half of climate hazards across Europe; land displacements in the UK, Spain, the Netherlands and Portugal; and seismic-related events in the Iberian Peninsula and Italy. Resilience to man-made hazards such as terrorism, vandalism, accidents, and negligence will be secured by mitigating their impacts with real-time mobility advice, such as TomTom real-time traffic management. SAFEWAY also employs innovative socio-technical elements of psychology and risk tolerance for communities at local, regional and European level, for both natural and man-made hazards. SAFEWAY's objectives will address and strengthen the four criteria for a resilient infrastructure: robustness, resourcefulness, rapid recovery and redundancy. Optimum balance Senior Lecturer in Industrial Systems at the Institute for Manufacturing and CSIC Investigator, Dr Ajith Parlikad, is leading collaborative research to develop predictive models for critical infrastructure assets that consider measured structural performance and trends observed in large databases to estimate the risks of future infrastructure damage, shutdown and deterioration. Projections of second, thirdorder, and long-term consequences will also be assessed. The University of Cambridge team will be involved in the development of a robust decision support framework for terrestrial transportation infrastructure management by considering diverse types of risks related to natural and man-made extreme events and balancing stakeholders' demands and optimising priorities over asset types. The objective is to identify the optimum balance between long-term risk minimisation and available financial resources to find the optimum resilience. SAFEWAY is funded by the EU Horizon 2020 'Smart, green and integrated transport' work programme which is aimed at achieving a European transport system that is resilient, resource-efficient, climate-and-environmentally-friendly, safe and seamless for the benefit of all citizens, the economy and society. |
| Collaborator Contribution | As above. |
| Impact | Still active |
| Start Year | 2019 |
| Description | SAFEWAY |
| Organisation | Ferrovial Agroman |
| Country | Spain |
| Sector | Private |
| PI Contribution | The SAFEWAY project The SAFEWAY project, a GIS-Based Infrastructure Management System for Optimised Response to Extreme Events on Terrestrial Transport Networks, aims to address the ability of transport systems to function during adverse conditions and quickly recover to acceptable levels of service after extreme events. SAFEWAY develops a transversal solution mainly focused on terrestrial transport modes, including both roads and railway infrastructure networks. Several of the SAFEWAY modules (mainly monitoring and risk prediction) can also be applied to other transport modes such as maritime. The main objective of the project is to design, validate and implement holistic methods, strategies, tools and technical interventions to significantly increase the resilience of inland transport infrastructure by reducing risk vulnerability and strengthening network systems to extreme events. The University of Cambridge is one of 15 partners collaborating on the project, which is being coordinated by the University of Vigo, Spain. Challenges addressed SAFEWAY project tools and interventions will be deployed for critical hazards, both natural and man-made, including: wildfires in Portugal; floods, which currently account for half of climate hazards across Europe; land displacements in the UK, Spain, the Netherlands and Portugal; and seismic-related events in the Iberian Peninsula and Italy. Resilience to man-made hazards such as terrorism, vandalism, accidents, and negligence will be secured by mitigating their impacts with real-time mobility advice, such as TomTom real-time traffic management. SAFEWAY also employs innovative socio-technical elements of psychology and risk tolerance for communities at local, regional and European level, for both natural and man-made hazards. SAFEWAY's objectives will address and strengthen the four criteria for a resilient infrastructure: robustness, resourcefulness, rapid recovery and redundancy. Optimum balance Senior Lecturer in Industrial Systems at the Institute for Manufacturing and CSIC Investigator, Dr Ajith Parlikad, is leading collaborative research to develop predictive models for critical infrastructure assets that consider measured structural performance and trends observed in large databases to estimate the risks of future infrastructure damage, shutdown and deterioration. Projections of second, thirdorder, and long-term consequences will also be assessed. The University of Cambridge team will be involved in the development of a robust decision support framework for terrestrial transportation infrastructure management by considering diverse types of risks related to natural and man-made extreme events and balancing stakeholders' demands and optimising priorities over asset types. The objective is to identify the optimum balance between long-term risk minimisation and available financial resources to find the optimum resilience. SAFEWAY is funded by the EU Horizon 2020 'Smart, green and integrated transport' work programme which is aimed at achieving a European transport system that is resilient, resource-efficient, climate-and-environmentally-friendly, safe and seamless for the benefit of all citizens, the economy and society. |
| Collaborator Contribution | As above. |
| Impact | Still active |
| Start Year | 2019 |
| Description | SAFEWAY |
| Organisation | INSITU Engineering |
| Country | Nigeria |
| Sector | Private |
| PI Contribution | The SAFEWAY project The SAFEWAY project, a GIS-Based Infrastructure Management System for Optimised Response to Extreme Events on Terrestrial Transport Networks, aims to address the ability of transport systems to function during adverse conditions and quickly recover to acceptable levels of service after extreme events. SAFEWAY develops a transversal solution mainly focused on terrestrial transport modes, including both roads and railway infrastructure networks. Several of the SAFEWAY modules (mainly monitoring and risk prediction) can also be applied to other transport modes such as maritime. The main objective of the project is to design, validate and implement holistic methods, strategies, tools and technical interventions to significantly increase the resilience of inland transport infrastructure by reducing risk vulnerability and strengthening network systems to extreme events. The University of Cambridge is one of 15 partners collaborating on the project, which is being coordinated by the University of Vigo, Spain. Challenges addressed SAFEWAY project tools and interventions will be deployed for critical hazards, both natural and man-made, including: wildfires in Portugal; floods, which currently account for half of climate hazards across Europe; land displacements in the UK, Spain, the Netherlands and Portugal; and seismic-related events in the Iberian Peninsula and Italy. Resilience to man-made hazards such as terrorism, vandalism, accidents, and negligence will be secured by mitigating their impacts with real-time mobility advice, such as TomTom real-time traffic management. SAFEWAY also employs innovative socio-technical elements of psychology and risk tolerance for communities at local, regional and European level, for both natural and man-made hazards. SAFEWAY's objectives will address and strengthen the four criteria for a resilient infrastructure: robustness, resourcefulness, rapid recovery and redundancy. Optimum balance Senior Lecturer in Industrial Systems at the Institute for Manufacturing and CSIC Investigator, Dr Ajith Parlikad, is leading collaborative research to develop predictive models for critical infrastructure assets that consider measured structural performance and trends observed in large databases to estimate the risks of future infrastructure damage, shutdown and deterioration. Projections of second, thirdorder, and long-term consequences will also be assessed. The University of Cambridge team will be involved in the development of a robust decision support framework for terrestrial transportation infrastructure management by considering diverse types of risks related to natural and man-made extreme events and balancing stakeholders' demands and optimising priorities over asset types. The objective is to identify the optimum balance between long-term risk minimisation and available financial resources to find the optimum resilience. SAFEWAY is funded by the EU Horizon 2020 'Smart, green and integrated transport' work programme which is aimed at achieving a European transport system that is resilient, resource-efficient, climate-and-environmentally-friendly, safe and seamless for the benefit of all citizens, the economy and society. |
| Collaborator Contribution | As above. |
| Impact | Still active |
| Start Year | 2019 |
| Description | SAFEWAY |
| Organisation | Infraestruturas de Portugal |
| Country | Portugal |
| Sector | Public |
| PI Contribution | The SAFEWAY project The SAFEWAY project, a GIS-Based Infrastructure Management System for Optimised Response to Extreme Events on Terrestrial Transport Networks, aims to address the ability of transport systems to function during adverse conditions and quickly recover to acceptable levels of service after extreme events. SAFEWAY develops a transversal solution mainly focused on terrestrial transport modes, including both roads and railway infrastructure networks. Several of the SAFEWAY modules (mainly monitoring and risk prediction) can also be applied to other transport modes such as maritime. The main objective of the project is to design, validate and implement holistic methods, strategies, tools and technical interventions to significantly increase the resilience of inland transport infrastructure by reducing risk vulnerability and strengthening network systems to extreme events. The University of Cambridge is one of 15 partners collaborating on the project, which is being coordinated by the University of Vigo, Spain. Challenges addressed SAFEWAY project tools and interventions will be deployed for critical hazards, both natural and man-made, including: wildfires in Portugal; floods, which currently account for half of climate hazards across Europe; land displacements in the UK, Spain, the Netherlands and Portugal; and seismic-related events in the Iberian Peninsula and Italy. Resilience to man-made hazards such as terrorism, vandalism, accidents, and negligence will be secured by mitigating their impacts with real-time mobility advice, such as TomTom real-time traffic management. SAFEWAY also employs innovative socio-technical elements of psychology and risk tolerance for communities at local, regional and European level, for both natural and man-made hazards. SAFEWAY's objectives will address and strengthen the four criteria for a resilient infrastructure: robustness, resourcefulness, rapid recovery and redundancy. Optimum balance Senior Lecturer in Industrial Systems at the Institute for Manufacturing and CSIC Investigator, Dr Ajith Parlikad, is leading collaborative research to develop predictive models for critical infrastructure assets that consider measured structural performance and trends observed in large databases to estimate the risks of future infrastructure damage, shutdown and deterioration. Projections of second, thirdorder, and long-term consequences will also be assessed. The University of Cambridge team will be involved in the development of a robust decision support framework for terrestrial transportation infrastructure management by considering diverse types of risks related to natural and man-made extreme events and balancing stakeholders' demands and optimising priorities over asset types. The objective is to identify the optimum balance between long-term risk minimisation and available financial resources to find the optimum resilience. SAFEWAY is funded by the EU Horizon 2020 'Smart, green and integrated transport' work programme which is aimed at achieving a European transport system that is resilient, resource-efficient, climate-and-environmentally-friendly, safe and seamless for the benefit of all citizens, the economy and society. |
| Collaborator Contribution | As above. |
| Impact | Still active |
| Start Year | 2019 |
| Description | SAFEWAY |
| Organisation | Innovactory |
| Country | Netherlands |
| Sector | Private |
| PI Contribution | The SAFEWAY project The SAFEWAY project, a GIS-Based Infrastructure Management System for Optimised Response to Extreme Events on Terrestrial Transport Networks, aims to address the ability of transport systems to function during adverse conditions and quickly recover to acceptable levels of service after extreme events. SAFEWAY develops a transversal solution mainly focused on terrestrial transport modes, including both roads and railway infrastructure networks. Several of the SAFEWAY modules (mainly monitoring and risk prediction) can also be applied to other transport modes such as maritime. The main objective of the project is to design, validate and implement holistic methods, strategies, tools and technical interventions to significantly increase the resilience of inland transport infrastructure by reducing risk vulnerability and strengthening network systems to extreme events. The University of Cambridge is one of 15 partners collaborating on the project, which is being coordinated by the University of Vigo, Spain. Challenges addressed SAFEWAY project tools and interventions will be deployed for critical hazards, both natural and man-made, including: wildfires in Portugal; floods, which currently account for half of climate hazards across Europe; land displacements in the UK, Spain, the Netherlands and Portugal; and seismic-related events in the Iberian Peninsula and Italy. Resilience to man-made hazards such as terrorism, vandalism, accidents, and negligence will be secured by mitigating their impacts with real-time mobility advice, such as TomTom real-time traffic management. SAFEWAY also employs innovative socio-technical elements of psychology and risk tolerance for communities at local, regional and European level, for both natural and man-made hazards. SAFEWAY's objectives will address and strengthen the four criteria for a resilient infrastructure: robustness, resourcefulness, rapid recovery and redundancy. Optimum balance Senior Lecturer in Industrial Systems at the Institute for Manufacturing and CSIC Investigator, Dr Ajith Parlikad, is leading collaborative research to develop predictive models for critical infrastructure assets that consider measured structural performance and trends observed in large databases to estimate the risks of future infrastructure damage, shutdown and deterioration. Projections of second, thirdorder, and long-term consequences will also be assessed. The University of Cambridge team will be involved in the development of a robust decision support framework for terrestrial transportation infrastructure management by considering diverse types of risks related to natural and man-made extreme events and balancing stakeholders' demands and optimising priorities over asset types. The objective is to identify the optimum balance between long-term risk minimisation and available financial resources to find the optimum resilience. SAFEWAY is funded by the EU Horizon 2020 'Smart, green and integrated transport' work programme which is aimed at achieving a European transport system that is resilient, resource-efficient, climate-and-environmentally-friendly, safe and seamless for the benefit of all citizens, the economy and society. |
| Collaborator Contribution | As above. |
| Impact | Still active |
| Start Year | 2019 |
| Description | SAFEWAY |
| Organisation | Institute of Transport Economics (Norway) |
| Country | Norway |
| Sector | Private |
| PI Contribution | The SAFEWAY project The SAFEWAY project, a GIS-Based Infrastructure Management System for Optimised Response to Extreme Events on Terrestrial Transport Networks, aims to address the ability of transport systems to function during adverse conditions and quickly recover to acceptable levels of service after extreme events. SAFEWAY develops a transversal solution mainly focused on terrestrial transport modes, including both roads and railway infrastructure networks. Several of the SAFEWAY modules (mainly monitoring and risk prediction) can also be applied to other transport modes such as maritime. The main objective of the project is to design, validate and implement holistic methods, strategies, tools and technical interventions to significantly increase the resilience of inland transport infrastructure by reducing risk vulnerability and strengthening network systems to extreme events. The University of Cambridge is one of 15 partners collaborating on the project, which is being coordinated by the University of Vigo, Spain. Challenges addressed SAFEWAY project tools and interventions will be deployed for critical hazards, both natural and man-made, including: wildfires in Portugal; floods, which currently account for half of climate hazards across Europe; land displacements in the UK, Spain, the Netherlands and Portugal; and seismic-related events in the Iberian Peninsula and Italy. Resilience to man-made hazards such as terrorism, vandalism, accidents, and negligence will be secured by mitigating their impacts with real-time mobility advice, such as TomTom real-time traffic management. SAFEWAY also employs innovative socio-technical elements of psychology and risk tolerance for communities at local, regional and European level, for both natural and man-made hazards. SAFEWAY's objectives will address and strengthen the four criteria for a resilient infrastructure: robustness, resourcefulness, rapid recovery and redundancy. Optimum balance Senior Lecturer in Industrial Systems at the Institute for Manufacturing and CSIC Investigator, Dr Ajith Parlikad, is leading collaborative research to develop predictive models for critical infrastructure assets that consider measured structural performance and trends observed in large databases to estimate the risks of future infrastructure damage, shutdown and deterioration. Projections of second, thirdorder, and long-term consequences will also be assessed. The University of Cambridge team will be involved in the development of a robust decision support framework for terrestrial transportation infrastructure management by considering diverse types of risks related to natural and man-made extreme events and balancing stakeholders' demands and optimising priorities over asset types. The objective is to identify the optimum balance between long-term risk minimisation and available financial resources to find the optimum resilience. SAFEWAY is funded by the EU Horizon 2020 'Smart, green and integrated transport' work programme which is aimed at achieving a European transport system that is resilient, resource-efficient, climate-and-environmentally-friendly, safe and seamless for the benefit of all citizens, the economy and society. |
| Collaborator Contribution | As above. |
| Impact | Still active |
| Start Year | 2019 |
| Description | SAFEWAY |
| Organisation | Network Rail Ltd |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | The SAFEWAY project The SAFEWAY project, a GIS-Based Infrastructure Management System for Optimised Response to Extreme Events on Terrestrial Transport Networks, aims to address the ability of transport systems to function during adverse conditions and quickly recover to acceptable levels of service after extreme events. SAFEWAY develops a transversal solution mainly focused on terrestrial transport modes, including both roads and railway infrastructure networks. Several of the SAFEWAY modules (mainly monitoring and risk prediction) can also be applied to other transport modes such as maritime. The main objective of the project is to design, validate and implement holistic methods, strategies, tools and technical interventions to significantly increase the resilience of inland transport infrastructure by reducing risk vulnerability and strengthening network systems to extreme events. The University of Cambridge is one of 15 partners collaborating on the project, which is being coordinated by the University of Vigo, Spain. Challenges addressed SAFEWAY project tools and interventions will be deployed for critical hazards, both natural and man-made, including: wildfires in Portugal; floods, which currently account for half of climate hazards across Europe; land displacements in the UK, Spain, the Netherlands and Portugal; and seismic-related events in the Iberian Peninsula and Italy. Resilience to man-made hazards such as terrorism, vandalism, accidents, and negligence will be secured by mitigating their impacts with real-time mobility advice, such as TomTom real-time traffic management. SAFEWAY also employs innovative socio-technical elements of psychology and risk tolerance for communities at local, regional and European level, for both natural and man-made hazards. SAFEWAY's objectives will address and strengthen the four criteria for a resilient infrastructure: robustness, resourcefulness, rapid recovery and redundancy. Optimum balance Senior Lecturer in Industrial Systems at the Institute for Manufacturing and CSIC Investigator, Dr Ajith Parlikad, is leading collaborative research to develop predictive models for critical infrastructure assets that consider measured structural performance and trends observed in large databases to estimate the risks of future infrastructure damage, shutdown and deterioration. Projections of second, thirdorder, and long-term consequences will also be assessed. The University of Cambridge team will be involved in the development of a robust decision support framework for terrestrial transportation infrastructure management by considering diverse types of risks related to natural and man-made extreme events and balancing stakeholders' demands and optimising priorities over asset types. The objective is to identify the optimum balance between long-term risk minimisation and available financial resources to find the optimum resilience. SAFEWAY is funded by the EU Horizon 2020 'Smart, green and integrated transport' work programme which is aimed at achieving a European transport system that is resilient, resource-efficient, climate-and-environmentally-friendly, safe and seamless for the benefit of all citizens, the economy and society. |
| Collaborator Contribution | As above. |
| Impact | Still active |
| Start Year | 2019 |
| Description | SAFEWAY |
| Organisation | Norwegian Geotechnical Institute |
| Country | Norway |
| Sector | Private |
| PI Contribution | The SAFEWAY project The SAFEWAY project, a GIS-Based Infrastructure Management System for Optimised Response to Extreme Events on Terrestrial Transport Networks, aims to address the ability of transport systems to function during adverse conditions and quickly recover to acceptable levels of service after extreme events. SAFEWAY develops a transversal solution mainly focused on terrestrial transport modes, including both roads and railway infrastructure networks. Several of the SAFEWAY modules (mainly monitoring and risk prediction) can also be applied to other transport modes such as maritime. The main objective of the project is to design, validate and implement holistic methods, strategies, tools and technical interventions to significantly increase the resilience of inland transport infrastructure by reducing risk vulnerability and strengthening network systems to extreme events. The University of Cambridge is one of 15 partners collaborating on the project, which is being coordinated by the University of Vigo, Spain. Challenges addressed SAFEWAY project tools and interventions will be deployed for critical hazards, both natural and man-made, including: wildfires in Portugal; floods, which currently account for half of climate hazards across Europe; land displacements in the UK, Spain, the Netherlands and Portugal; and seismic-related events in the Iberian Peninsula and Italy. Resilience to man-made hazards such as terrorism, vandalism, accidents, and negligence will be secured by mitigating their impacts with real-time mobility advice, such as TomTom real-time traffic management. SAFEWAY also employs innovative socio-technical elements of psychology and risk tolerance for communities at local, regional and European level, for both natural and man-made hazards. SAFEWAY's objectives will address and strengthen the four criteria for a resilient infrastructure: robustness, resourcefulness, rapid recovery and redundancy. Optimum balance Senior Lecturer in Industrial Systems at the Institute for Manufacturing and CSIC Investigator, Dr Ajith Parlikad, is leading collaborative research to develop predictive models for critical infrastructure assets that consider measured structural performance and trends observed in large databases to estimate the risks of future infrastructure damage, shutdown and deterioration. Projections of second, thirdorder, and long-term consequences will also be assessed. The University of Cambridge team will be involved in the development of a robust decision support framework for terrestrial transportation infrastructure management by considering diverse types of risks related to natural and man-made extreme events and balancing stakeholders' demands and optimising priorities over asset types. The objective is to identify the optimum balance between long-term risk minimisation and available financial resources to find the optimum resilience. SAFEWAY is funded by the EU Horizon 2020 'Smart, green and integrated transport' work programme which is aimed at achieving a European transport system that is resilient, resource-efficient, climate-and-environmentally-friendly, safe and seamless for the benefit of all citizens, the economy and society. |
| Collaborator Contribution | As above. |
| Impact | Still active |
| Start Year | 2019 |
| Description | SAFEWAY |
| Organisation | Planetek Italia |
| Country | Italy |
| Sector | Private |
| PI Contribution | The SAFEWAY project The SAFEWAY project, a GIS-Based Infrastructure Management System for Optimised Response to Extreme Events on Terrestrial Transport Networks, aims to address the ability of transport systems to function during adverse conditions and quickly recover to acceptable levels of service after extreme events. SAFEWAY develops a transversal solution mainly focused on terrestrial transport modes, including both roads and railway infrastructure networks. Several of the SAFEWAY modules (mainly monitoring and risk prediction) can also be applied to other transport modes such as maritime. The main objective of the project is to design, validate and implement holistic methods, strategies, tools and technical interventions to significantly increase the resilience of inland transport infrastructure by reducing risk vulnerability and strengthening network systems to extreme events. The University of Cambridge is one of 15 partners collaborating on the project, which is being coordinated by the University of Vigo, Spain. Challenges addressed SAFEWAY project tools and interventions will be deployed for critical hazards, both natural and man-made, including: wildfires in Portugal; floods, which currently account for half of climate hazards across Europe; land displacements in the UK, Spain, the Netherlands and Portugal; and seismic-related events in the Iberian Peninsula and Italy. Resilience to man-made hazards such as terrorism, vandalism, accidents, and negligence will be secured by mitigating their impacts with real-time mobility advice, such as TomTom real-time traffic management. SAFEWAY also employs innovative socio-technical elements of psychology and risk tolerance for communities at local, regional and European level, for both natural and man-made hazards. SAFEWAY's objectives will address and strengthen the four criteria for a resilient infrastructure: robustness, resourcefulness, rapid recovery and redundancy. Optimum balance Senior Lecturer in Industrial Systems at the Institute for Manufacturing and CSIC Investigator, Dr Ajith Parlikad, is leading collaborative research to develop predictive models for critical infrastructure assets that consider measured structural performance and trends observed in large databases to estimate the risks of future infrastructure damage, shutdown and deterioration. Projections of second, thirdorder, and long-term consequences will also be assessed. The University of Cambridge team will be involved in the development of a robust decision support framework for terrestrial transportation infrastructure management by considering diverse types of risks related to natural and man-made extreme events and balancing stakeholders' demands and optimising priorities over asset types. The objective is to identify the optimum balance between long-term risk minimisation and available financial resources to find the optimum resilience. SAFEWAY is funded by the EU Horizon 2020 'Smart, green and integrated transport' work programme which is aimed at achieving a European transport system that is resilient, resource-efficient, climate-and-environmentally-friendly, safe and seamless for the benefit of all citizens, the economy and society. |
| Collaborator Contribution | As above. |
| Impact | Still active |
| Start Year | 2019 |
| Description | SAFEWAY |
| Organisation | University of Minho |
| Country | Portugal |
| Sector | Academic/University |
| PI Contribution | The SAFEWAY project The SAFEWAY project, a GIS-Based Infrastructure Management System for Optimised Response to Extreme Events on Terrestrial Transport Networks, aims to address the ability of transport systems to function during adverse conditions and quickly recover to acceptable levels of service after extreme events. SAFEWAY develops a transversal solution mainly focused on terrestrial transport modes, including both roads and railway infrastructure networks. Several of the SAFEWAY modules (mainly monitoring and risk prediction) can also be applied to other transport modes such as maritime. The main objective of the project is to design, validate and implement holistic methods, strategies, tools and technical interventions to significantly increase the resilience of inland transport infrastructure by reducing risk vulnerability and strengthening network systems to extreme events. The University of Cambridge is one of 15 partners collaborating on the project, which is being coordinated by the University of Vigo, Spain. Challenges addressed SAFEWAY project tools and interventions will be deployed for critical hazards, both natural and man-made, including: wildfires in Portugal; floods, which currently account for half of climate hazards across Europe; land displacements in the UK, Spain, the Netherlands and Portugal; and seismic-related events in the Iberian Peninsula and Italy. Resilience to man-made hazards such as terrorism, vandalism, accidents, and negligence will be secured by mitigating their impacts with real-time mobility advice, such as TomTom real-time traffic management. SAFEWAY also employs innovative socio-technical elements of psychology and risk tolerance for communities at local, regional and European level, for both natural and man-made hazards. SAFEWAY's objectives will address and strengthen the four criteria for a resilient infrastructure: robustness, resourcefulness, rapid recovery and redundancy. Optimum balance Senior Lecturer in Industrial Systems at the Institute for Manufacturing and CSIC Investigator, Dr Ajith Parlikad, is leading collaborative research to develop predictive models for critical infrastructure assets that consider measured structural performance and trends observed in large databases to estimate the risks of future infrastructure damage, shutdown and deterioration. Projections of second, thirdorder, and long-term consequences will also be assessed. The University of Cambridge team will be involved in the development of a robust decision support framework for terrestrial transportation infrastructure management by considering diverse types of risks related to natural and man-made extreme events and balancing stakeholders' demands and optimising priorities over asset types. The objective is to identify the optimum balance between long-term risk minimisation and available financial resources to find the optimum resilience. SAFEWAY is funded by the EU Horizon 2020 'Smart, green and integrated transport' work programme which is aimed at achieving a European transport system that is resilient, resource-efficient, climate-and-environmentally-friendly, safe and seamless for the benefit of all citizens, the economy and society. |
| Collaborator Contribution | As above. |
| Impact | Still active |
| Start Year | 2019 |
| Description | SAFEWAY |
| Organisation | University of Vigo |
| Country | Spain |
| Sector | Academic/University |
| PI Contribution | The SAFEWAY project The SAFEWAY project, a GIS-Based Infrastructure Management System for Optimised Response to Extreme Events on Terrestrial Transport Networks, aims to address the ability of transport systems to function during adverse conditions and quickly recover to acceptable levels of service after extreme events. SAFEWAY develops a transversal solution mainly focused on terrestrial transport modes, including both roads and railway infrastructure networks. Several of the SAFEWAY modules (mainly monitoring and risk prediction) can also be applied to other transport modes such as maritime. The main objective of the project is to design, validate and implement holistic methods, strategies, tools and technical interventions to significantly increase the resilience of inland transport infrastructure by reducing risk vulnerability and strengthening network systems to extreme events. The University of Cambridge is one of 15 partners collaborating on the project, which is being coordinated by the University of Vigo, Spain. Challenges addressed SAFEWAY project tools and interventions will be deployed for critical hazards, both natural and man-made, including: wildfires in Portugal; floods, which currently account for half of climate hazards across Europe; land displacements in the UK, Spain, the Netherlands and Portugal; and seismic-related events in the Iberian Peninsula and Italy. Resilience to man-made hazards such as terrorism, vandalism, accidents, and negligence will be secured by mitigating their impacts with real-time mobility advice, such as TomTom real-time traffic management. SAFEWAY also employs innovative socio-technical elements of psychology and risk tolerance for communities at local, regional and European level, for both natural and man-made hazards. SAFEWAY's objectives will address and strengthen the four criteria for a resilient infrastructure: robustness, resourcefulness, rapid recovery and redundancy. Optimum balance Senior Lecturer in Industrial Systems at the Institute for Manufacturing and CSIC Investigator, Dr Ajith Parlikad, is leading collaborative research to develop predictive models for critical infrastructure assets that consider measured structural performance and trends observed in large databases to estimate the risks of future infrastructure damage, shutdown and deterioration. Projections of second, thirdorder, and long-term consequences will also be assessed. The University of Cambridge team will be involved in the development of a robust decision support framework for terrestrial transportation infrastructure management by considering diverse types of risks related to natural and man-made extreme events and balancing stakeholders' demands and optimising priorities over asset types. The objective is to identify the optimum balance between long-term risk minimisation and available financial resources to find the optimum resilience. SAFEWAY is funded by the EU Horizon 2020 'Smart, green and integrated transport' work programme which is aimed at achieving a European transport system that is resilient, resource-efficient, climate-and-environmentally-friendly, safe and seamless for the benefit of all citizens, the economy and society. |
| Collaborator Contribution | As above. |
| Impact | Still active |
| Start Year | 2019 |
| Description | Satellite Applications Catapult - CRM |
| Organisation | Satellite Applications Catapult |
| Country | United Kingdom |
| Sector | Charity/Non Profit |
| PI Contribution | Remote sensing |
| Collaborator Contribution | Remote sensing |
| Impact | Remote sensing |
| Start Year | 2016 |
| Description | Satellite Applications Catapult - MSA |
| Organisation | Satellite Applications Catapult |
| Country | United Kingdom |
| Sector | Charity/Non Profit |
| PI Contribution | Bank Station Capacity Upgrade Mansion House and St Mary Abchurch monitoring |
| Collaborator Contribution | Bank Station Capacity Upgrade Mansion House and St Mary Abchurch monitoring |
| Impact | Bank Station Capacity Upgrade Mansion House and St Mary Abchurch monitoring |
| Start Year | 2017 |
| Description | Senceive - Collaboration on deployment project for CSattAR at Moorgate station - JMS |
| Organisation | Senceive |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Collaboration on deployment project for CSattAR at Moorgate station |
| Collaborator Contribution | Collaboration on deployment project for CSattAR at Moorgate station |
| Impact | Collaboration on deployment project for CSattAR at Moorgate station |
| Start Year | 2016 |
| Description | Senceive - PRAF |
| Organisation | Senceive |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Testing/Calibration of a new Senceive wireless sensor in the Instron room. (Note: No 'formal' agreement apart from a few emails.) |
| Collaborator Contribution | Testing/Calibration of a new Senceive wireless sensor in the Instron room. (Note: No 'formal' agreement apart from a few emails.) |
| Impact | Testing/Calibration of a new Senceive wireless sensor in the Instron room. (Note: No 'formal' agreement apart from a few emails.) |
| Start Year | 2016 |
| Description | Senceive - PTK |
| Organisation | Senceive |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | CSIC - testing and evaluation of wireless strain sensors |
| Collaborator Contribution | CSIC - testing and evaluation of wireless strain sensors |
| Impact | CSIC - testing and evaluation of wireless strain sensors |
| Start Year | 2016 |
| Description | Sengenia - PTK |
| Organisation | Sengenia Ltd |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Development of FBG solutions |
| Collaborator Contribution | Development of FBG solutions |
| Impact | Development of FBG solutions |
| Start Year | 2015 |
| Description | Sengenia -PTK |
| Organisation | Sengenia Ltd |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Custom FBG sensor arrays |
| Collaborator Contribution | Custom FBG sensor arrays |
| Impact | Custom FBG sensor arrays |
| Start Year | 2017 |
| Description | Severn Trent Water - PTK |
| Organisation | Severn Trent Water |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Sewer infiltration monitoring |
| Collaborator Contribution | Sewer infiltration monitoring |
| Impact | Sewer infiltration monitoring |
| Start Year | 2015 |
| Description | Silicon Microgravity Ltd AS |
| Organisation | Silicon Microgravity Ltd. |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Design, fabrication and characterisation of MEMS gravity sensors |
| Collaborator Contribution | Design, fabrication and characterisation of MEMS gravity sensors |
| Impact | Design, fabrication and characterisation of MEMS gravity sensors |
| Start Year | 2015 |
| Description | Skanska - DC |
| Organisation | Skanska AB |
| Country | Sweden |
| Sector | Private |
| PI Contribution | Northern line extension (visit of Dr Chris Williamson) |
| Collaborator Contribution | Northern line extension (visit of Dr Chris Williamson) |
| Impact | Northern line extension (visit of Dr Chris Williamson) |
| Start Year | 2016 |
| Description | Skanska - PTK |
| Organisation | Skanska UK Ltd |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Pile loading, training in FO splicing and deployment. |
| Collaborator Contribution | Pile loading, training in FO splicing and deployment. |
| Impact | Pile loading, training in FO splicing and deployment. |
| Start Year | 2015 |
| Description | Smart Motorways Programme |
| Organisation | Department of Transport |
| Department | Highways Agency |
| Country | United Kingdom |
| Sector | Public |
| PI Contribution | Smart Motorways Programme: Highways England has an emerging technology programme as part of its smart motorways programme. These programmes typically have three phases: Discover, Develop and Demonstrate. Under this, CSIC was commissioned to look at 'Embedded Asset Sensing'. This has so far involved two projects. Discover phase: (July 2018-Feb 2019)CSIC produced an extensive report detailing emerging and existing technologies available to monitor a variety of assets including bridges, embankments, lighting poles, pavement, safety barriers. Technologies covered included computer vision, attached sensing (WSN, Fibre optics), acoustic emissions, satellite data. It also proposed a number of potential 'Develop' projects. Develop phase: (Oct 2019 - ongoing) the Develop project currently underway is developing an acoustic emission sensing solution to monitor crack growth in concrete bridges. This involves a campaign of lab testing, and implementation on (at least) one highway bridge, as part of a suite of innovative instrumentation including fibre optics and computer vision. This phase of the project is due to complete in Nov 2020, with a further demonstrate phase if this proves successful. |
| Collaborator Contribution | As above. |
| Impact | Collaboration still active. |
| Start Year | 2018 |
| Description | Smith and Wallwork - PTK |
| Organisation | Smith and Wallwork |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Trinity Hall Excavation Monitoring |
| Collaborator Contribution | Trinity Hall Excavation Monitoring |
| Impact | Trinity Hall Excavation Monitoring |
| Start Year | 2015 |
| Description | Southbank - pile testing - NdB |
| Organisation | Southbank Centre |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Project management; Site visits and discussion with client; Monitoring system design and preparation; Installation on site; Operation of monitoring system; Data analysis and reporting |
| Collaborator Contribution | Project management; Site visits and discussion with client; Monitoring system design and preparation; Installation on site; Operation of monitoring system; Data analysis and reporting |
| Impact | Project management; Site visits and discussion with client; Monitoring system design and preparation; Installation on site; Operation of monitoring system; Data analysis and reporting |
| Start Year | 2016 |
| Description | Splicetec - Crossrail site splicing projects. Co-development of methods for field-splicing FO sensors - JMS |
| Organisation | Splicetec AG |
| Country | Switzerland |
| Sector | Private |
| PI Contribution | Crossrail site splicing projects. Co-development of methods for field-splicing FO sensors |
| Collaborator Contribution | Crossrail site splicing projects. Co-development of methods for field-splicing FO sensors |
| Impact | Crossrail site splicing projects. Co-development of methods for field-splicing FO sensors |
| Start Year | 2016 |
| Description | Splicetec - PTK |
| Organisation | Splicetec AG |
| Country | Switzerland |
| Sector | Private |
| PI Contribution | Crossrail site splicing during tunneling |
| Collaborator Contribution | Crossrail site splicing during tunneling |
| Impact | Crossrail site splicing during tunneling |
| Start Year | 2015 |
| Description | St Mary Abchurch, Mansion House 05.17-01.20 - Sinan Acikgoz |
| Organisation | Dragados |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Dragados / LUL - St Mary Abchurch, Mansion House 05.17-01.20 |
| Collaborator Contribution | Dragados / LUL - St Mary Abchurch, Mansion House 05.17-01.20 |
| Impact | Dragados / LUL - St Mary Abchurch, Mansion House 05.17-01.20 |
| Start Year | 2017 |
| Description | Sylex - PTK |
| Organisation | Sylex |
| Country | Slovakia |
| Sector | Private |
| PI Contribution | joint delivery of FBG training |
| Collaborator Contribution | joint delivery of FBG training |
| Impact | joint delivery of FBG training |
| Start Year | 2015 |
| Description | Tallinn University of Technology, Estonia - ES |
| Organisation | Tallinn University of Technology |
| Country | Estonia |
| Sector | Academic/University |
| PI Contribution | Big data, data mining and access to information |
| Collaborator Contribution | Big data, data mining and access to information |
| Impact | Big data, data mining and access to information |
| Start Year | 2016 |
| Description | Tensar |
| Organisation | Tensar International Ltd |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Integrated strain sensors in geogrids |
| Collaborator Contribution | Integrated strain sensors in geogrids |
| Impact | Integrated strain sensors in geogrids |
| Start Year | 2016 |
| Description | Testing of trial piles - Nicky de Battista |
| Organisation | University of California, Berkeley |
| Country | United States |
| Sector | Academic/University |
| PI Contribution | Testing of trial piles |
| Collaborator Contribution | Testing of trial piles |
| Impact | Testing of trial piles |
| Start Year | 2018 |
| Description | TfL - PTK |
| Organisation | Transport for London |
| Country | United Kingdom |
| Sector | Public |
| PI Contribution | Hammersmith Bridge |
| Collaborator Contribution | Hammersmith Bridge |
| Impact | Hammersmith Bridge |
| Start Year | 2015 |
| Description | TfWM (Centro) - JT |
| Organisation | Transport for West Midlands |
| Country | United Kingdom |
| Sector | Public |
| PI Contribution | Establishment of collaborative project on vehicle-based track condition monitoring, incl. supply of tram, access to depot facilities and support during installation of instrumentation. |
| Collaborator Contribution | Establishment of collaborative project on vehicle-based track condition monitoring, incl. supply of tram, access to depot facilities and support during installation of instrumentation. |
| Impact | Establishment of collaborative project on vehicle-based track condition monitoring, incl. supply of tram, access to depot facilities and support during installation of instrumentation. |
| Start Year | 2015 |
| Description | Thames Tideway/Thames water - MJD |
| Organisation | Thames Water Utilities Limited |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Monitoring of 3rd party assets during tunnelling, including bridges and heritage structures |
| Collaborator Contribution | Monitoring of 3rd party assets during tunnelling, including bridges and heritage structures |
| Impact | Monitoring of 3rd party assets during tunnelling, including bridges and heritage structures |
| Start Year | 2016 |
| Description | Tony Gee Partnership - LB |
| Organisation | Tony Gee Consultants |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Smart 'Band-Aids' for Resilient Concrete Structures |
| Collaborator Contribution | Smart 'Band-Aids' for Resilient Concrete Structures |
| Impact | Smart 'Band-Aids' for Resilient Concrete Structures |
| Start Year | 2017 |
| Description | Transport for London - AKNP |
| Organisation | Transport for London |
| Country | United Kingdom |
| Sector | Public |
| PI Contribution | Information risk assessment; Asset information management |
| Collaborator Contribution | Information risk assessment; Asset information management |
| Impact | Information risk assessment; Asset information management |
| Start Year | 2016 |
| Description | Transport for London - CRM |
| Organisation | Transport for London |
| Country | United Kingdom |
| Sector | Public |
| PI Contribution | Remote sensing |
| Collaborator Contribution | Remote sensing |
| Impact | Remote sensing |
| Start Year | 2016 |
| Description | Trimble - CRM |
| Organisation | Trimble Inc. |
| Country | United States |
| Sector | Private |
| PI Contribution | Augmented reality and computer modelling in construction |
| Collaborator Contribution | Augmented reality and computer modelling in construction |
| Impact | Augmented reality and computer modelling in construction |
| Start Year | 2016 |
| Description | Università di Napoli Federico II - CK |
| Organisation | University of Naples |
| Country | Italy |
| Sector | Academic/University |
| PI Contribution | Erasmus student |
| Collaborator Contribution | Erasmus student |
| Impact | Erasmus student |
| Start Year | 2016 |
| Description | Università di Napoli Federico II April 2017 to Sept 2017 Hosted Erasmus student - Cedric Kechavarzi |
| Organisation | University of Naples |
| Country | Italy |
| Sector | Academic/University |
| PI Contribution | Università di Napoli Federico II April 2017 to Sept 2017 Erasmus student |
| Collaborator Contribution | Università di Napoli Federico II April 2017 to Sept 2017 Erasmus student |
| Impact | Università di Napoli Federico II April 2017 to Sept 2017 Erasmus student |
| Start Year | 2017 |
| Description | University College, London AEY |
| Organisation | University College London |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Fibre Optic analyser |
| Collaborator Contribution | Fibre Optic analyser |
| Impact | Fibre Optic analyser |
| Start Year | 2015 |
| Description | University of Cambridge Department of Engineering- PTK |
| Organisation | University of Cambridge |
| Department | Department of Engineering |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | James Dyson Building, piles and floors |
| Collaborator Contribution | James Dyson Building, piles and floors |
| Impact | James Dyson Building, piles and floors |
| Start Year | 2015 |
| Description | University of Edinburgh AEY |
| Organisation | University of Edinburgh |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Business Engagement |
| Collaborator Contribution | Business Engagement |
| Impact | Business Engagement |
| Start Year | 2016 |
| Description | University of Pretoria - LB |
| Organisation | University of Pretoria |
| Country | South Africa |
| Sector | Academic/University |
| PI Contribution | Fibre-optic instrumentation of bridges (Alborada Trust, Cambridge-Africa Programme) - knowledge exchange trip, lecture |
| Collaborator Contribution | Fibre-optic instrumentation of bridges (Alborada Trust, Cambridge-Africa Programme) - knowledge exchange trip |
| Impact | Fibre-optic instrumentation of bridges (Alborada Trust, Cambridge-Africa Programme) |
| Start Year | 2017 |
| Description | University of Sheffield AEY |
| Organisation | University of Sheffield |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Noise sensor |
| Collaborator Contribution | Noise sensor |
| Impact | Noise sensor |
| Start Year | 2015 |
| Description | University of Southampton - CK |
| Organisation | University of Southampton |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | "OLE piles instrumentation and testing. Collaborating on research papers." |
| Collaborator Contribution | "OLE piles instrumentation and testing. Collaborating on research papers." |
| Impact | "OLE piles instrumentation and testing. Collaborating on research papers." |
| Start Year | 2016 |
| Description | University of Wollongong, NSW - AEY |
| Organisation | University of Wollongong |
| Country | Australia |
| Sector | Academic/University |
| PI Contribution | University of Wollongong, NSW |
| Collaborator Contribution | Infrastructure and Smart Cities |
| Impact | Infrastructure and Smart Cities |
| Start Year | 2015 |
| Description | UtterBerry instrumentation of structures at Trinity Hall to assess building movement during ground engineering - JMS |
| Organisation | Utterberry Ltd |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | instrumentation of structures at Trinity Hall to assess building movement during ground engineering |
| Collaborator Contribution | instrumentation of structures at Trinity Hall to assess building movement during ground engineering |
| Impact | instrumentation of structures at Trinity Hall to assess building movement during ground engineering |
| Start Year | 2016 |
| Description | Wind Africa: Developing performance-based design for foundation systems of WIND turbines in AFRICA |
| Organisation | African Union Development Agency |
| Country | South Africa |
| Sector | Charity/Non Profit |
| PI Contribution | The project Now in its second year, Wind Africa is a collaborative project which aims to support the potential of renewable energy resources to generate power across the continent and is funded by the Engineering and Physical Sciences Research Council (EPSRC). Approximately half of Africa's population lacks access to electricity and more power generation is also needed to meet future demand. It is estimated that 35 per cent of the world's resources for wind energy could be located in the continent, but there are several challenges to developing the necessary infrastructure. Arid conditions result in unsaturated soil, mostly expansive clay, which makes founding wind turbines difficult. The soil properties change throughout the seasons and with variations in moisture content; surfaces heave in the wet season and shrink in the dry season. These cycles can cause significant damage to buildings founded on these soils. The aim of the Wind Africa project is to develop a set of design guidelines for piled wind turbine foundations in expansive clay to support growth of a sustainable energy market in Africa. There are four work packages to the project: To perform field tests on the cyclic response of foundations on unsaturated expansive soils To complement the field testing with centrifuge tests To perform an extensive laboratory study on samples of soils taken from expansive soil regions in Africa To develop a numerical analysis code to allow detailed studies to be performed on foundations with various geometries and configurations. The first and third packages are being undertaken by researchers in Cambridge, led by Dr Mohammed Elshafie, CSIC Investigator and Senior Lecturer for the Laing O'Rourke Centre for Construction Engineering and Technology. The second and fourth packages of the project are being investigated by collaborators at the University of Pretoria and Durham University respectively. Field testing in South Africa In January, a geotechnical drilling investigation took place on the proposed field-testing site in South Africa. The site was chosen as there is evidence of problems with structures, which can be seen in the cracks of nearby buildings. It is also a large open area of known expansive clay with a lack of current infrastructure that would be impacted by testing. Two boreholes were drilled to investigate the profile of the soil and samples were taken for laboratory testing. Rock was found at an approximate depth of 12m in both boreholes and slickensided material, which is evidence of expansive soil, was found throughout the profile until the transition to rock. Undisturbed soils were also taken from the boreholes for the laboratory testing in Cambridge. Three types of testing were carried out on the soil samples; water retention, oedometer and triaxial tests to determine the moisture characteristics, stiffness and strength of the soil respectively. The samples were characterised and were found to have a high percentage of clay and a low percentage of gravel. The change in the volumes of the samples was measured during wetting and drying cycles and shrinkages recorded. Swelling tests under different stress levels are still to be undertaken and mineralogical composition investigated. Planning is now under way for the installation of the piles for the full field testing programme. |
| Collaborator Contribution | As above. |
| Impact | Collaboration still active. |
| Start Year | 2017 |
| Description | Wind Africa: Developing performance-based design for foundation systems of WIND turbines in AFRICA |
| Organisation | Aurecon South Africa (Pty) Ltd |
| Country | South Africa |
| Sector | Private |
| PI Contribution | The project Now in its second year, Wind Africa is a collaborative project which aims to support the potential of renewable energy resources to generate power across the continent and is funded by the Engineering and Physical Sciences Research Council (EPSRC). Approximately half of Africa's population lacks access to electricity and more power generation is also needed to meet future demand. It is estimated that 35 per cent of the world's resources for wind energy could be located in the continent, but there are several challenges to developing the necessary infrastructure. Arid conditions result in unsaturated soil, mostly expansive clay, which makes founding wind turbines difficult. The soil properties change throughout the seasons and with variations in moisture content; surfaces heave in the wet season and shrink in the dry season. These cycles can cause significant damage to buildings founded on these soils. The aim of the Wind Africa project is to develop a set of design guidelines for piled wind turbine foundations in expansive clay to support growth of a sustainable energy market in Africa. There are four work packages to the project: To perform field tests on the cyclic response of foundations on unsaturated expansive soils To complement the field testing with centrifuge tests To perform an extensive laboratory study on samples of soils taken from expansive soil regions in Africa To develop a numerical analysis code to allow detailed studies to be performed on foundations with various geometries and configurations. The first and third packages are being undertaken by researchers in Cambridge, led by Dr Mohammed Elshafie, CSIC Investigator and Senior Lecturer for the Laing O'Rourke Centre for Construction Engineering and Technology. The second and fourth packages of the project are being investigated by collaborators at the University of Pretoria and Durham University respectively. Field testing in South Africa In January, a geotechnical drilling investigation took place on the proposed field-testing site in South Africa. The site was chosen as there is evidence of problems with structures, which can be seen in the cracks of nearby buildings. It is also a large open area of known expansive clay with a lack of current infrastructure that would be impacted by testing. Two boreholes were drilled to investigate the profile of the soil and samples were taken for laboratory testing. Rock was found at an approximate depth of 12m in both boreholes and slickensided material, which is evidence of expansive soil, was found throughout the profile until the transition to rock. Undisturbed soils were also taken from the boreholes for the laboratory testing in Cambridge. Three types of testing were carried out on the soil samples; water retention, oedometer and triaxial tests to determine the moisture characteristics, stiffness and strength of the soil respectively. The samples were characterised and were found to have a high percentage of clay and a low percentage of gravel. The change in the volumes of the samples was measured during wetting and drying cycles and shrinkages recorded. Swelling tests under different stress levels are still to be undertaken and mineralogical composition investigated. Planning is now under way for the installation of the piles for the full field testing programme. |
| Collaborator Contribution | As above. |
| Impact | Collaboration still active. |
| Start Year | 2017 |
| Description | Wind Africa: Developing performance-based design for foundation systems of WIND turbines in AFRICA |
| Organisation | Durham University |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | The project Now in its second year, Wind Africa is a collaborative project which aims to support the potential of renewable energy resources to generate power across the continent and is funded by the Engineering and Physical Sciences Research Council (EPSRC). Approximately half of Africa's population lacks access to electricity and more power generation is also needed to meet future demand. It is estimated that 35 per cent of the world's resources for wind energy could be located in the continent, but there are several challenges to developing the necessary infrastructure. Arid conditions result in unsaturated soil, mostly expansive clay, which makes founding wind turbines difficult. The soil properties change throughout the seasons and with variations in moisture content; surfaces heave in the wet season and shrink in the dry season. These cycles can cause significant damage to buildings founded on these soils. The aim of the Wind Africa project is to develop a set of design guidelines for piled wind turbine foundations in expansive clay to support growth of a sustainable energy market in Africa. There are four work packages to the project: To perform field tests on the cyclic response of foundations on unsaturated expansive soils To complement the field testing with centrifuge tests To perform an extensive laboratory study on samples of soils taken from expansive soil regions in Africa To develop a numerical analysis code to allow detailed studies to be performed on foundations with various geometries and configurations. The first and third packages are being undertaken by researchers in Cambridge, led by Dr Mohammed Elshafie, CSIC Investigator and Senior Lecturer for the Laing O'Rourke Centre for Construction Engineering and Technology. The second and fourth packages of the project are being investigated by collaborators at the University of Pretoria and Durham University respectively. Field testing in South Africa In January, a geotechnical drilling investigation took place on the proposed field-testing site in South Africa. The site was chosen as there is evidence of problems with structures, which can be seen in the cracks of nearby buildings. It is also a large open area of known expansive clay with a lack of current infrastructure that would be impacted by testing. Two boreholes were drilled to investigate the profile of the soil and samples were taken for laboratory testing. Rock was found at an approximate depth of 12m in both boreholes and slickensided material, which is evidence of expansive soil, was found throughout the profile until the transition to rock. Undisturbed soils were also taken from the boreholes for the laboratory testing in Cambridge. Three types of testing were carried out on the soil samples; water retention, oedometer and triaxial tests to determine the moisture characteristics, stiffness and strength of the soil respectively. The samples were characterised and were found to have a high percentage of clay and a low percentage of gravel. The change in the volumes of the samples was measured during wetting and drying cycles and shrinkages recorded. Swelling tests under different stress levels are still to be undertaken and mineralogical composition investigated. Planning is now under way for the installation of the piles for the full field testing programme. |
| Collaborator Contribution | As above. |
| Impact | Collaboration still active. |
| Start Year | 2017 |
| Description | Wind Africa: Developing performance-based design for foundation systems of WIND turbines in AFRICA |
| Organisation | Jones & Wagener |
| Country | South Africa |
| Sector | Private |
| PI Contribution | The project Now in its second year, Wind Africa is a collaborative project which aims to support the potential of renewable energy resources to generate power across the continent and is funded by the Engineering and Physical Sciences Research Council (EPSRC). Approximately half of Africa's population lacks access to electricity and more power generation is also needed to meet future demand. It is estimated that 35 per cent of the world's resources for wind energy could be located in the continent, but there are several challenges to developing the necessary infrastructure. Arid conditions result in unsaturated soil, mostly expansive clay, which makes founding wind turbines difficult. The soil properties change throughout the seasons and with variations in moisture content; surfaces heave in the wet season and shrink in the dry season. These cycles can cause significant damage to buildings founded on these soils. The aim of the Wind Africa project is to develop a set of design guidelines for piled wind turbine foundations in expansive clay to support growth of a sustainable energy market in Africa. There are four work packages to the project: To perform field tests on the cyclic response of foundations on unsaturated expansive soils To complement the field testing with centrifuge tests To perform an extensive laboratory study on samples of soils taken from expansive soil regions in Africa To develop a numerical analysis code to allow detailed studies to be performed on foundations with various geometries and configurations. The first and third packages are being undertaken by researchers in Cambridge, led by Dr Mohammed Elshafie, CSIC Investigator and Senior Lecturer for the Laing O'Rourke Centre for Construction Engineering and Technology. The second and fourth packages of the project are being investigated by collaborators at the University of Pretoria and Durham University respectively. Field testing in South Africa In January, a geotechnical drilling investigation took place on the proposed field-testing site in South Africa. The site was chosen as there is evidence of problems with structures, which can be seen in the cracks of nearby buildings. It is also a large open area of known expansive clay with a lack of current infrastructure that would be impacted by testing. Two boreholes were drilled to investigate the profile of the soil and samples were taken for laboratory testing. Rock was found at an approximate depth of 12m in both boreholes and slickensided material, which is evidence of expansive soil, was found throughout the profile until the transition to rock. Undisturbed soils were also taken from the boreholes for the laboratory testing in Cambridge. Three types of testing were carried out on the soil samples; water retention, oedometer and triaxial tests to determine the moisture characteristics, stiffness and strength of the soil respectively. The samples were characterised and were found to have a high percentage of clay and a low percentage of gravel. The change in the volumes of the samples was measured during wetting and drying cycles and shrinkages recorded. Swelling tests under different stress levels are still to be undertaken and mineralogical composition investigated. Planning is now under way for the installation of the piles for the full field testing programme. |
| Collaborator Contribution | As above. |
| Impact | Collaboration still active. |
| Start Year | 2017 |
| Description | Wind Africa: Developing performance-based design for foundation systems of WIND turbines in AFRICA |
| Organisation | Parsons Bakery |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | The project Now in its second year, Wind Africa is a collaborative project which aims to support the potential of renewable energy resources to generate power across the continent and is funded by the Engineering and Physical Sciences Research Council (EPSRC). Approximately half of Africa's population lacks access to electricity and more power generation is also needed to meet future demand. It is estimated that 35 per cent of the world's resources for wind energy could be located in the continent, but there are several challenges to developing the necessary infrastructure. Arid conditions result in unsaturated soil, mostly expansive clay, which makes founding wind turbines difficult. The soil properties change throughout the seasons and with variations in moisture content; surfaces heave in the wet season and shrink in the dry season. These cycles can cause significant damage to buildings founded on these soils. The aim of the Wind Africa project is to develop a set of design guidelines for piled wind turbine foundations in expansive clay to support growth of a sustainable energy market in Africa. There are four work packages to the project: To perform field tests on the cyclic response of foundations on unsaturated expansive soils To complement the field testing with centrifuge tests To perform an extensive laboratory study on samples of soils taken from expansive soil regions in Africa To develop a numerical analysis code to allow detailed studies to be performed on foundations with various geometries and configurations. The first and third packages are being undertaken by researchers in Cambridge, led by Dr Mohammed Elshafie, CSIC Investigator and Senior Lecturer for the Laing O'Rourke Centre for Construction Engineering and Technology. The second and fourth packages of the project are being investigated by collaborators at the University of Pretoria and Durham University respectively. Field testing in South Africa In January, a geotechnical drilling investigation took place on the proposed field-testing site in South Africa. The site was chosen as there is evidence of problems with structures, which can be seen in the cracks of nearby buildings. It is also a large open area of known expansive clay with a lack of current infrastructure that would be impacted by testing. Two boreholes were drilled to investigate the profile of the soil and samples were taken for laboratory testing. Rock was found at an approximate depth of 12m in both boreholes and slickensided material, which is evidence of expansive soil, was found throughout the profile until the transition to rock. Undisturbed soils were also taken from the boreholes for the laboratory testing in Cambridge. Three types of testing were carried out on the soil samples; water retention, oedometer and triaxial tests to determine the moisture characteristics, stiffness and strength of the soil respectively. The samples were characterised and were found to have a high percentage of clay and a low percentage of gravel. The change in the volumes of the samples was measured during wetting and drying cycles and shrinkages recorded. Swelling tests under different stress levels are still to be undertaken and mineralogical composition investigated. Planning is now under way for the installation of the piles for the full field testing programme. |
| Collaborator Contribution | As above. |
| Impact | Collaboration still active. |
| Start Year | 2017 |
| Description | Wind Africa: Developing performance-based design for foundation systems of WIND turbines in AFRICA |
| Organisation | University of Dar es Salaam |
| Country | Tanzania, United Republic of |
| Sector | Academic/University |
| PI Contribution | The project Now in its second year, Wind Africa is a collaborative project which aims to support the potential of renewable energy resources to generate power across the continent and is funded by the Engineering and Physical Sciences Research Council (EPSRC). Approximately half of Africa's population lacks access to electricity and more power generation is also needed to meet future demand. It is estimated that 35 per cent of the world's resources for wind energy could be located in the continent, but there are several challenges to developing the necessary infrastructure. Arid conditions result in unsaturated soil, mostly expansive clay, which makes founding wind turbines difficult. The soil properties change throughout the seasons and with variations in moisture content; surfaces heave in the wet season and shrink in the dry season. These cycles can cause significant damage to buildings founded on these soils. The aim of the Wind Africa project is to develop a set of design guidelines for piled wind turbine foundations in expansive clay to support growth of a sustainable energy market in Africa. There are four work packages to the project: To perform field tests on the cyclic response of foundations on unsaturated expansive soils To complement the field testing with centrifuge tests To perform an extensive laboratory study on samples of soils taken from expansive soil regions in Africa To develop a numerical analysis code to allow detailed studies to be performed on foundations with various geometries and configurations. The first and third packages are being undertaken by researchers in Cambridge, led by Dr Mohammed Elshafie, CSIC Investigator and Senior Lecturer for the Laing O'Rourke Centre for Construction Engineering and Technology. The second and fourth packages of the project are being investigated by collaborators at the University of Pretoria and Durham University respectively. Field testing in South Africa In January, a geotechnical drilling investigation took place on the proposed field-testing site in South Africa. The site was chosen as there is evidence of problems with structures, which can be seen in the cracks of nearby buildings. It is also a large open area of known expansive clay with a lack of current infrastructure that would be impacted by testing. Two boreholes were drilled to investigate the profile of the soil and samples were taken for laboratory testing. Rock was found at an approximate depth of 12m in both boreholes and slickensided material, which is evidence of expansive soil, was found throughout the profile until the transition to rock. Undisturbed soils were also taken from the boreholes for the laboratory testing in Cambridge. Three types of testing were carried out on the soil samples; water retention, oedometer and triaxial tests to determine the moisture characteristics, stiffness and strength of the soil respectively. The samples were characterised and were found to have a high percentage of clay and a low percentage of gravel. The change in the volumes of the samples was measured during wetting and drying cycles and shrinkages recorded. Swelling tests under different stress levels are still to be undertaken and mineralogical composition investigated. Planning is now under way for the installation of the piles for the full field testing programme. |
| Collaborator Contribution | As above. |
| Impact | Collaboration still active. |
| Start Year | 2017 |
| Description | Wind Africa: Developing performance-based design for foundation systems of WIND turbines in AFRICA |
| Organisation | University of Khartoum |
| Country | Sudan |
| Sector | Academic/University |
| PI Contribution | The project Now in its second year, Wind Africa is a collaborative project which aims to support the potential of renewable energy resources to generate power across the continent and is funded by the Engineering and Physical Sciences Research Council (EPSRC). Approximately half of Africa's population lacks access to electricity and more power generation is also needed to meet future demand. It is estimated that 35 per cent of the world's resources for wind energy could be located in the continent, but there are several challenges to developing the necessary infrastructure. Arid conditions result in unsaturated soil, mostly expansive clay, which makes founding wind turbines difficult. The soil properties change throughout the seasons and with variations in moisture content; surfaces heave in the wet season and shrink in the dry season. These cycles can cause significant damage to buildings founded on these soils. The aim of the Wind Africa project is to develop a set of design guidelines for piled wind turbine foundations in expansive clay to support growth of a sustainable energy market in Africa. There are four work packages to the project: To perform field tests on the cyclic response of foundations on unsaturated expansive soils To complement the field testing with centrifuge tests To perform an extensive laboratory study on samples of soils taken from expansive soil regions in Africa To develop a numerical analysis code to allow detailed studies to be performed on foundations with various geometries and configurations. The first and third packages are being undertaken by researchers in Cambridge, led by Dr Mohammed Elshafie, CSIC Investigator and Senior Lecturer for the Laing O'Rourke Centre for Construction Engineering and Technology. The second and fourth packages of the project are being investigated by collaborators at the University of Pretoria and Durham University respectively. Field testing in South Africa In January, a geotechnical drilling investigation took place on the proposed field-testing site in South Africa. The site was chosen as there is evidence of problems with structures, which can be seen in the cracks of nearby buildings. It is also a large open area of known expansive clay with a lack of current infrastructure that would be impacted by testing. Two boreholes were drilled to investigate the profile of the soil and samples were taken for laboratory testing. Rock was found at an approximate depth of 12m in both boreholes and slickensided material, which is evidence of expansive soil, was found throughout the profile until the transition to rock. Undisturbed soils were also taken from the boreholes for the laboratory testing in Cambridge. Three types of testing were carried out on the soil samples; water retention, oedometer and triaxial tests to determine the moisture characteristics, stiffness and strength of the soil respectively. The samples were characterised and were found to have a high percentage of clay and a low percentage of gravel. The change in the volumes of the samples was measured during wetting and drying cycles and shrinkages recorded. Swelling tests under different stress levels are still to be undertaken and mineralogical composition investigated. Planning is now under way for the installation of the piles for the full field testing programme. |
| Collaborator Contribution | As above. |
| Impact | Collaboration still active. |
| Start Year | 2017 |
| Description | Wind Africa: Developing performance-based design for foundation systems of WIND turbines in AFRICA |
| Organisation | University of Pretoria |
| Country | South Africa |
| Sector | Academic/University |
| PI Contribution | The project Now in its second year, Wind Africa is a collaborative project which aims to support the potential of renewable energy resources to generate power across the continent and is funded by the Engineering and Physical Sciences Research Council (EPSRC). Approximately half of Africa's population lacks access to electricity and more power generation is also needed to meet future demand. It is estimated that 35 per cent of the world's resources for wind energy could be located in the continent, but there are several challenges to developing the necessary infrastructure. Arid conditions result in unsaturated soil, mostly expansive clay, which makes founding wind turbines difficult. The soil properties change throughout the |