Reducing risk through uncertainty quantification for past, present and future generations of nuclear power plants
Lead Research Organisation:
University of Bristol
Department Name: Mechanical Engineering
Abstract
Abstracts are not currently available in GtR for all funded research. This is normally because the abstract was not required at the time of proposal submission, but may be because it included sensitive information such as personal details.
Publications
Balasubramanian A
(2021)
Statistical modelling of fracture using cellular atomata finite element
in Theoretical and Applied Fracture Mechanics
Paraskevoulakos C
(2021)
Investigating the microstructure and mechanical behaviour of simulant "lava-like" fuel containing materials from the Chernobyl reactor unit 4 meltdown
in Materials & Design
Shterenlikht A
(2019)
MPI vs Fortran coarrays beyond 100k cores: 3D cellular automata
in Parallel Computing
Shterenlikht A
(2018)
Cellular automata beyond 100k cores
Vijayanand V
(2020)
A novel methodology for estimating tensile properties in a small punch test employing in-situ DIC based deflection mapping
in Journal of Nuclear Materials
| Description | We successfully simulated the uncertainty associated with failure of some nuclear materials |
| Exploitation Route | This will pave the way towards a probabilistic safety case in nuclear industry |
| Sectors | Energy |
| Title | CAFE modelling of statistical distribution in fracture toughness |
| Description | A cellular automata finite element model is being developed which can capture the statistical distribution of fracture toughness of nuclear materials. |
| Type Of Material | Computer model/algorithm |
| Year Produced | 2019 |
| Provided To Others? | Yes |
| Impact | This is a new publication (See publication section) and is yet to attract the attention of researchers. An updated version of its impact will be given in the next ResearchFish submission. |
| Description | Probabilistic nuclear structural integrity collaboration with Rolls Royce |
| Organisation | EDF Energy |
| Department | EDF Energy Nuclear Generation |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | A brief presentation of the preliminary work carried out in this project at the steering committee attracted the attention of representative from Roll Royce plc. Discussions about the expansion of work was had and it was agreed that "Probabilistic nuclear structural integrity" is an area of shared interest. It was agreed that the best way forward to expand the collaboration is to make joint application for funding. This is now currently underway as part of the Department of Business, Energy, and Industrial Strategy's Phase II call for Nuclear innovation programme: advanced manufacturing and materials competition, Phase 2. |
| Collaborator Contribution | University of Bristol (UoB) and Rolls Royce plc (RR) have both joined a consortium led by EDF Energy to apply for funding from Nuclear innovation programme: advanced manufacturing and materials competition, Phase 2. The core of the joint UoB-RR shared work package is to apply the probabilistic structural integrity to Gen IV nuclear reactors. This is an application and expansion of the work carried out in this EPSRC project for capture the uncertainty in degradation of nuclear materials. The outcome of the application and the result of the collaboration will be given in more detail in future ResearchFish submission given the early stages of the work. |
| Impact | - the output of the application to BEIS will be given in the next ResearchFish submission. |
| Start Year | 2019 |
| Description | Probabilistic nuclear structural integrity collaboration with Rolls Royce |
| Organisation | Rolls Royce Group Plc |
| Department | Rolls-Royce Civil Nuclear |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | A brief presentation of the preliminary work carried out in this project at the steering committee attracted the attention of representative from Roll Royce plc. Discussions about the expansion of work was had and it was agreed that "Probabilistic nuclear structural integrity" is an area of shared interest. It was agreed that the best way forward to expand the collaboration is to make joint application for funding. This is now currently underway as part of the Department of Business, Energy, and Industrial Strategy's Phase II call for Nuclear innovation programme: advanced manufacturing and materials competition, Phase 2. |
| Collaborator Contribution | University of Bristol (UoB) and Rolls Royce plc (RR) have both joined a consortium led by EDF Energy to apply for funding from Nuclear innovation programme: advanced manufacturing and materials competition, Phase 2. The core of the joint UoB-RR shared work package is to apply the probabilistic structural integrity to Gen IV nuclear reactors. This is an application and expansion of the work carried out in this EPSRC project for capture the uncertainty in degradation of nuclear materials. The outcome of the application and the result of the collaboration will be given in more detail in future ResearchFish submission given the early stages of the work. |
| Impact | - the output of the application to BEIS will be given in the next ResearchFish submission. |
| Start Year | 2019 |
| Description | UKAEA |
| Organisation | Culham Centre for Fusion Energy |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | The collaboration with UKAEA within this project initiated a Royal Academy of Engineering Research Chair programme |
| Collaborator Contribution | UKAEA continued in kind and cash support for expanding this research programme to a Royal Academy of Engineering Research Chair |
| Impact | This programme is contributing to UKAEA materials roadmap |
| Start Year | 2019 |