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Conference Paper/Proceeding/Abstract 881 views

The stochastic finite element method for nuclear applications

José David Arregui Mena, Lee Margetts, Llion Evans Orcid Logo, D. V. Griffiths, Anton Shterenlikht, Luis Cebamanos, Paul M Mummery

Eccomas Proceedia, Pages: 2471 - 2483

Swansea University Author: Llion Evans Orcid Logo

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DOI (Published version): 10.7712/100016.1975.9348

Abstract

Nuclear materials are subjected to demanding environments, encountering hightemperature gradients and fast neutron fluxes that gradually damage its structure and thereforechange the material properties. Some components of a nuclear reactor determine its lifetime,such as the graphite core and steel p...

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Published in: Eccomas Proceedia
Published: Crete Island, Greece VII European Congress on Computational Methods in Applied Sciences and Engineering 2016
Online Access: https://www.eccomasproceedia.org/conferences/eccomas-congresses/eccomas-congress-2016/1975
URI: https://cronfa.swan.ac.uk/Record/cronfa40000
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last_indexed 2018-05-15T12:35:46Z
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spelling 2018-05-15T12:09:52.7960506 v2 40000 2018-05-08 The stochastic finite element method for nuclear applications 74dc5084c47484922a6e0135ebcb9402 0000-0002-4964-4187 Llion Evans Llion Evans true false 2018-05-08 ACEM Nuclear materials are subjected to demanding environments, encountering hightemperature gradients and fast neutron fluxes that gradually damage its structure and thereforechange the material properties. Some components of a nuclear reactor determine its lifetime,such as the graphite core and steel pressure vessel for fission reactors. In case of fusionreactors the tungsten divertor is expected to be replaced several times during its lifespan. Allthese materials contain defects and spatial material variability that may contribute to thefailure of the component. The Stochastic Finite Element Method or a Random Finite ElementMethod was chosen in this research to model the spatial material variability in nucleargraphite and other key components of nuclear reactors. This research describes how a directMonte Carlo Simulation approach was adapted to simulate the calibration of a random fieldand the modelling of these defects for nuclear graphite. It is also suggested that this methodology can be applied to fusion reactor modelling Conference Paper/Proceeding/Abstract Eccomas Proceedia 2471 2483 VII European Congress on Computational Methods in Applied Sciences and Engineering Crete Island, Greece 30 6 2016 2016-06-30 10.7712/100016.1975.9348 https://www.eccomasproceedia.org/conferences/eccomas-congresses/eccomas-congress-2016/1975 COLLEGE NANME Aerospace, Civil, Electrical, and Mechanical Engineering COLLEGE CODE ACEM Swansea University 2018-05-15T12:09:52.7960506 2018-05-08T11:13:36.0918294 Faculty of Science and Engineering School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Mechanical Engineering José David Arregui Mena 1 Lee Margetts 2 Llion Evans 0000-0002-4964-4187 3 D. V. Griffiths 4 Anton Shterenlikht 5 Luis Cebamanos 6 Paul M Mummery 7
title The stochastic finite element method for nuclear applications
spellingShingle The stochastic finite element method for nuclear applications
Llion Evans
title_short The stochastic finite element method for nuclear applications
title_full The stochastic finite element method for nuclear applications
title_fullStr The stochastic finite element method for nuclear applications
title_full_unstemmed The stochastic finite element method for nuclear applications
title_sort The stochastic finite element method for nuclear applications
author_id_str_mv 74dc5084c47484922a6e0135ebcb9402
author_id_fullname_str_mv 74dc5084c47484922a6e0135ebcb9402_***_Llion Evans
author Llion Evans
author2 José David Arregui Mena
Lee Margetts
Llion Evans
D. V. Griffiths
Anton Shterenlikht
Luis Cebamanos
Paul M Mummery
format Conference Paper/Proceeding/Abstract
container_title Eccomas Proceedia
container_start_page 2471
publishDate 2016
institution Swansea University
doi_str_mv 10.7712/100016.1975.9348
publisher VII European Congress on Computational Methods in Applied Sciences and Engineering
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Mechanical Engineering{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Mechanical Engineering
url https://www.eccomasproceedia.org/conferences/eccomas-congresses/eccomas-congress-2016/1975
document_store_str 0
active_str 0
description Nuclear materials are subjected to demanding environments, encountering hightemperature gradients and fast neutron fluxes that gradually damage its structure and thereforechange the material properties. Some components of a nuclear reactor determine its lifetime,such as the graphite core and steel pressure vessel for fission reactors. In case of fusionreactors the tungsten divertor is expected to be replaced several times during its lifespan. Allthese materials contain defects and spatial material variability that may contribute to thefailure of the component. The Stochastic Finite Element Method or a Random Finite ElementMethod was chosen in this research to model the spatial material variability in nucleargraphite and other key components of nuclear reactors. This research describes how a directMonte Carlo Simulation approach was adapted to simulate the calibration of a random fieldand the modelling of these defects for nuclear graphite. It is also suggested that this methodology can be applied to fusion reactor modelling
published_date 2016-06-30T13:28:06Z
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score 11.048042

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