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

Llion Evans Orcid Logo, J D Arregui-Mena, P M Mummery, R Akers, E Surrey, A Shterenlikht, M Broggi, L Margetts

The International Journal of Multiphysics, Volume: 10, Issue: 2, Pages: 215 - 236

Swansea University Author: Llion Evans Orcid Logo

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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 mate...

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Published in: The International Journal of Multiphysics
ISSN: 1750-9548
Published: 2016
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URI: https://cronfa.swan.ac.uk/Record/cronfa40001
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first_indexed 2018-05-08T13:53:14Z
last_indexed 2018-05-15T19:27:22Z
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spelling 2018-05-15T15:16:38.3308966 v2 40001 2018-05-08 Use of massively parallel computing to improve modelling accuracy within the nuclear sector 74dc5084c47484922a6e0135ebcb9402 0000-0002-4964-4187 Llion Evans Llion Evans true false 2018-05-08 MECH 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. Journal Article The International Journal of Multiphysics 10 2 215 236 1750-9548 high-performance computing, nuclear, materials characterisation, finite element analysis, image-based modelling, uncertainty quantification, cellular automata 30 6 2016 2016-06-30 10.21152/1750-9548.10.2.215 http://journal.multiphysics.org/index.php/IJM/article/view/121 COLLEGE NANME Mechanical Engineering COLLEGE CODE MECH Swansea University RCUK Energy Programme 2018-05-15T15:16:38.3308966 2018-05-08T11:13:46.9963685 College of Engineering Engineering Llion Evans 0000-0002-4964-4187 1 J D Arregui-Mena 2 P M Mummery 3 R Akers 4 E Surrey 5 A Shterenlikht 6 M Broggi 7 L Margetts 8
title Use of massively parallel computing to improve modelling accuracy within the nuclear sector
spellingShingle Use of massively parallel computing to improve modelling accuracy within the nuclear sector
Llion Evans
title_short Use of massively parallel computing to improve modelling accuracy within the nuclear sector
title_full Use of massively parallel computing to improve modelling accuracy within the nuclear sector
title_fullStr Use of massively parallel computing to improve modelling accuracy within the nuclear sector
title_full_unstemmed Use of massively parallel computing to improve modelling accuracy within the nuclear sector
title_sort Use of massively parallel computing to improve modelling accuracy within the nuclear sector
author_id_str_mv 74dc5084c47484922a6e0135ebcb9402
author_id_fullname_str_mv 74dc5084c47484922a6e0135ebcb9402_***_Llion Evans
author Llion Evans
author2 Llion Evans
J D Arregui-Mena
P M Mummery
R Akers
E Surrey
A Shterenlikht
M Broggi
L Margetts
format Journal article
container_title The International Journal of Multiphysics
container_volume 10
container_issue 2
container_start_page 215
publishDate 2016
institution Swansea University
issn 1750-9548
doi_str_mv 10.21152/1750-9548.10.2.215
college_str College of Engineering
hierarchytype
hierarchy_top_id collegeofengineering
hierarchy_top_title College of Engineering
hierarchy_parent_id collegeofengineering
hierarchy_parent_title College of Engineering
department_str Engineering{{{_:::_}}}College of Engineering{{{_:::_}}}Engineering
url http://journal.multiphysics.org/index.php/IJM/article/view/121
document_store_str 0
active_str 0
description 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.
published_date 2016-06-30T03:54:13Z
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