Three-dimensional electrical tomography for imaging large concrete members

Lead Research Organisation: University of Sheffield
Department Name: Civil and Structural Engineering

Abstract

Concrete structures are ubiquitous and critical components of UK and international civil infrastructure, cityscapes, waste containment facilities, and much more. Now, more than ever, we demand more from our concrete structures, from safety, durability, economy, and environmental perspectives. For example, in the UK alone, there are approximately 67,400 highway bridges carrying heavy goods vehicles and over 70% are reinforced concrete, prestressed concrete, or concrete culvert bridges. Of these, nearly 70% were built between 1960 and 1990. Given this information, the cost of replacing or remediating ageing national bridges in the UK alone is huge. For example, the total maintenance backlog for council-managed (in Great Britain) road bridges has been estimated to be £6.7bn. This indicates that council-managed concrete bridges in Great Britain are currently in a £4.7bn maintenance backlog. The costs associated with deconstructing and reconstructing these bridges can be estimated as a figure approximately two orders of magnitude larger than the current maintenance backlog. Therefore, feasibly addressing contemporary concrete infrastructure challenges requires more than a monetary solution, it requires technical innovation.

To begin addressing the demands of an ageing concrete infrastructure, we must first be able reliably assess the condition of concrete structures during their lifespan in order to, e.g., rehabilitate them before replacement or discontinuing service before failure. At present, however, many non-destructive testing/structural health monitoring (NDT/SHM) imaging methods offer limited information regarding the internal condition of concrete structures.

This project responds to this issue by determining the feasibility of a new 3D approach (electrical tomography) for use in assessing the condition and health of concrete structural members, such as beams, slabs, and columns. Outcomes from the project have the potential to enable (i) experimental studies of the fundamental behaviour of reinforced concrete members by allowing researchers to quantifiably "see" inside members exposed to extreme environmental and/or loading conditions and (ii) quantitative 3D condition monitoring of constructed concrete structures. From an asset management perspective, this non-destructive technology would allow maintainers to "see" inside concrete structures. In doing this, maintainers can detect internal damage, such as cracking and reinforcement corrosion, and repair/replace individual members before they jeopardise safety or give rise to expensive systematic problems requiring replacement of the entire structure.

Publications

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Gallet A (2022) Structural engineering from an inverse problems perspective. in Proceedings. Mathematical, physical, and engineering sciences

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Chen L (2021) Probabilistic cracking prediction via deep learned electrical tomography in Structural Health Monitoring

 
Description Active membership in the RILEM TC DCS
Geographic Reach Multiple continents/international 
Policy Influence Type Participation in a guidance/advisory committee
Impact Our research activities within the RILEM TC DCS will focus on the development of a state-of-the-art report on the use of AI (machine learning and deep learning) to model different concrete properties, whether at the stage of material or component selection or the mix-proportioning stage, during concrete production, or at the structural level during its lifetime. This will be a valuable tool for educating the civil engineering community, academia and professionals/practicioners on the potentialities of data-science tools for prediction of concrete's engineering properties and structural performance. Eventually, this work within the TC will facilitate the integration of AI methods in the concrete technology and concrete structures field and further promote the digitalization and industrialization of the construction industry.
 
Description Advanced algorithms for 3D electrical tomography imaging of concrete
Amount £155,000 (GBP)
Organisation University of Sheffield 
Sector Academic/University
Country United Kingdom
Start 08/2022 
End 02/2026
 
Description Innovative multi-functional retrofitting systems for heritage structures
Amount € 172,750 (EUR)
Organisation Marie Sklodowska-Curie Actions 
Sector Charity/Non Profit
Country Global
Start 03/2024 
End 03/2026
 
Title Absolute Imaging algorithm 
Description The developed algorithm reconstructs the conductivity distribution from individual sets of voltage measurements. 
Type Of Material Computer model/algorithm 
Year Produced 2021 
Provided To Others? No  
Impact The developed algorithm enables a quantitative reconstruction of the conductivity inside the concrete beam at any level of loading and constitutes a more reliable tool as it allows the exact localisation of the cracks and of the internal steel reinforcement. 
 
Title Database of smart construction materials 
Description This database contains the experimental results from available literature on smart constructions materias, and includes: types of materials, electrically conductive inclusions, dosages, mix designs, size and number of speciments, testing methodology). 
Type Of Material Database/Collection of data 
Year Produced 2022 
Provided To Others? No  
Impact The collected database enables a critical review of the available literature, identifies challenges and knowledge gaps, provides a comprehensive understanding of the effect of the different parameters on the structural and piezoresistive performance of smart systems and highlights key scientific areas requiring future research. 
 
Title Difference Imaging algorithm 
Description The developed algorithm reconstructs the conductivity distribution change from the change in the measured voltage data. 
Type Of Material Computer model/algorithm 
Year Produced 2021 
Provided To Others? No  
Impact The developed algorithm enables a qualitative reconstruction of the conductivity inside the concrete beam and constitutes a useful and powerful tool to trace the change in conductivity as well as trace the location of the change in conductivity (i.e. presence of cracks) during loading. 
 
Title Experimental database of smart cement-based mortar and concrete 
Description This database includes the experimental results in terms of electrical, mechanical, physical and piezoresistive characterisation of cement-based composites comprising carbon fibres, recycled carbon fibres and graphite powder as electrically conductive inclusions at different dosages in mixes with different aggregate contents. 
Type Of Material Database/Collection of data 
Year Produced 2023 
Provided To Others? No  
Impact The developed database provides key performance indicators of smart mortars, while enabling a direct comparison between composites made with advanced, conventional and more sustainable inclusions. The results, which are evaluated in terms of structural and piezoresistive performance, provide a holistic investigation of smart properties, assess the effect of key design parameters and can be used for the development of design recommendations. The results in this database will pave the way for the faster uptake of the developed smart systems in the construction, retrofitting and structural health monitoring sector. 
 
Title Forward model algorithm 
Description The developed algorithm computes voltages between each pair of electrodes mounted on a concrete beam based on a finite elements numerical implementation. 
Type Of Material Computer model/algorithm 
Year Produced 2021 
Provided To Others? No  
Impact The developed algorithm uses a finite element forward problem and computes voltages from conductivity, which is assumed homogeneous along and across the concrete beam. Beam geometry, electrode layout, current injection and measurement pattern are considered. The algorithm is indispensable for the validation of the internal state of each concrete beam at reference stage (i.e. zero loading), enables the understanding of the effect of the involved parameters and is critical for the development of inverse algorithms that will enable 3D ET imaging. 
 
Description Presentation (Torelli and Trochoutsou) - Research Group seminar 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach Local
Primary Audience Other audiences
Results and Impact A presentation was delivered to postgraduate taught and research students, academics and visiting Professors on the research progress of the Award and the experimental results obtained so far. The following discussion on the scientific outcomes, employed methods and challenges raised awareness on the potential of smart cementitious materials in construction and smart structural health monitoring applications. The type of the used smart materials fostered further discussion and enabled a valuable knowledge exchange among the audience around sustainability and alternative waste streams.
Year(s) Of Engagement Activity 2023
 
Description Presentation (Torelli and Trochoutsou) - Research Group seminar 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach Local
Primary Audience Other audiences
Results and Impact A presentation was delivered to postgraduate taught and research students, academics and visiting Professors on the research background and the scientific interests of the presenters as well as the aims and objectives of the Award. The discussion and questions sparked afterwards raised the awareness on the necessity to monitor the structural integrity of existing and deteriorating structures, while scientific ideas and knowledge on the employed methods and challenges were exchanged among the audience, fostering further discussion.
Year(s) Of Engagement Activity 2022
 
Description Undergraduate Open Day at the University of Sheffield 
Form Of Engagement Activity Participation in an open day or visit at my research institution
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Study participants or study members
Results and Impact About 30 prospective undergraduate students along with their parents attended an experimental test on a concrete prism comprising carbon fibres subjected to cyclic compression, while electrical measurements were concurrently recorded. The acitivity took place in the laboratory of the research institution (Heavy Structures Lab). The concepts of smart materials, self-sensing properties and piezoresistivity were explained, which fostered discussion on the necessity to develop new construction materials with integrated structural health monitoring functionalities. Both students and parents were actively engaged, which was reflected through further discussion and a Q&A session around civil engineering and structural health monitoring applications.
Year(s) Of Engagement Activity 2022,2023
 
Description Undergraduate Open Day at the University of Sheffield 
Form Of Engagement Activity Participation in an open day or visit at my research institution
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Study participants or study members
Results and Impact About 30 prospective undergraduate students along with their parents attended an experimental test on a reinforced concrete beam monitored using 3D Electrical Tomography in the laboratory of the research institution (Heavy Structures Lab). The engineering principles were explained, which fostered discussion on the basic concepts of structural health monitoring and the necessity of monitoring existing structures. The audience was actively engaged and enthusiastic with the experiment, which was reflected through targeted and broader questions on the civil engineering profession afterwards.
Year(s) Of Engagement Activity 2021,2022