TY - JOUR

T1 - Use of Massively Parallel Computing to Improve Modelling Accuracy within the Nuclear Sector

AU - Llion Marc, Evans

AU - Arregui Mena, Jose David

AU - Mummery, Paul

AU - Akers, Robert

AU - Surrey, Elizabeth

AU - Shterenlikht, A.

AU - Broggi, Matteo

AU - Margetts, Lee

N1 - Funding Information: This work has been carried out within the framework of the EUROfiision Consortium and has received funding from the Euratom research and training programme 2014-2018 under grant agreement No 633053 and from the RCUK Energy Programme [grant number EP1501045]. To obtain further information on the data and models underlying this paper please contact PublicationsManager@ccfe.ac.uk. The views and opinions expressed herein do not necessarily reflect those of the European Commission. This work made use the HPC resources of The Hartree Centre (project fusionFEM) made available within the Distributed European Computing Initiative (DEO-12) by the PRACE-2IP. receiving funding from the European Community's Seventh Framework Programme (FP7/2007-2013) under grant agreement PJ-283493.

PY - 2016/6/30

Y1 - 2016/6/30

N2 - The extreme environments found within the nuclear sector impose large safety factors on modelling analyses to ensure components operate in their desired manner. Improving analysis accuracy has clear value of increasing the design space that could lead to greater efficiency and reliability. Novel materials for new reactor designs often exhibit non-linear behaviour; additionally material properties evolve due to in-service damage a combination that is difficult to model accurately. To better describe these complex behaviours a range of modelling techniques previously under-pursued due to computational expense are being developed. This work presents recent advancements in three techniques: Uncertainty quantification (UQ); Cellular automata finite element (CAFE); Image based finite element methods (IBFEM). Case studies are presented demonstrating their suitability for use in nuclear engineering made possible by advancements in parallel computing hardware that is projected to be available for industry within the next decade costing of the order of $100k.

AB - The extreme environments found within the nuclear sector impose large safety factors on modelling analyses to ensure components operate in their desired manner. Improving analysis accuracy has clear value of increasing the design space that could lead to greater efficiency and reliability. Novel materials for new reactor designs often exhibit non-linear behaviour; additionally material properties evolve due to in-service damage a combination that is difficult to model accurately. To better describe these complex behaviours a range of modelling techniques previously under-pursued due to computational expense are being developed. This work presents recent advancements in three techniques: Uncertainty quantification (UQ); Cellular automata finite element (CAFE); Image based finite element methods (IBFEM). Case studies are presented demonstrating their suitability for use in nuclear engineering made possible by advancements in parallel computing hardware that is projected to be available for industry within the next decade costing of the order of $100k.

UR - http://www.scopus.com/inward/record.url?scp=84987719396&partnerID=8YFLogxK

U2 - 10.15488/4811

DO - 10.15488/4811

M3 - Article

VL - 10

SP - 215

EP - 236

JO - International Journal of Mulitphysics 10 (2016), Nr. 2

JF - International Journal of Mulitphysics 10 (2016), Nr. 2

SN - 1750-9548

IS - 2

ER -