Use of massively parallel computing to improve modelling accuracy within the nuclear sector

Ll M. Evans; J. D. Arregui-Mena; P. M. Mummery; R. J. Akers; E. Surrey; A. Shterenlikht; M. Broggi; L. Margetts

Use of massively parallel computing to improve modelling accuracy within the nuclear sector

Ll M. Evans, J. D. Arregui-Mena, P. M. Mummery, R. J. Akers, E. Surrey, A. Shterenlikht, M. Broggi, L. Margetts

Research output: Contribution to journal › Article › peer-review

1 Scopus citations

Abstract

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.

Original language	English
Pages (from-to)	215-236
Number of pages	22
Journal	International Journal of Multiphysics
Volume	10
Issue number	2
State	Published - 2016
Externally published	Yes

Funding

This work has been carried out within the framework of the EUROfusion 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 EP/I501045]. To obtain further information on the data and models underlying this paper please contact [email protected]. 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 (DECI-12) by the PRACE-2IP, receiving funding from the European Community's Seventh Framework Programme (FP7/2007-2013) under grant agreement RI-283493.

Funders	Funder number
FP7/2007	RI-283493
Hartree Centre	PRACE-2IP, DECI-12
Horizon 2020 Framework Programme	633053, 671500
H2020 Euratom
Research Councils UK	EP/I501045
Seventh Framework Programme

Cite this

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Use of massively parallel computing to improve modelling accuracy within the nuclear sector

Abstract

Funding

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