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

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dc.identifier.uri http://dx.doi.org/10.15488/4811
dc.identifier.uri https://www.repo.uni-hannover.de/handle/123456789/4854
dc.contributor.author Evans, Li M.
dc.contributor.author Arregui-Mena, J. D.
dc.contributor.author Mummery, P. M.
dc.contributor.author Akers, R. J.
dc.contributor.author Surrey, E.
dc.contributor.author Shterenlikht, A.
dc.contributor.author Broggi, M.
dc.contributor.author Margetts, L.
dc.date.accessioned 2019-05-16T13:32:41Z
dc.date.available 2019-05-16T13:32:41Z
dc.date.issued 2016
dc.identifier.citation Evans, Li M. et al.: Use of massively parallel computing to improve modelling accuracy within the nuclear sector. In: International Journal of Mulitphysics 10 (2016), Nr. 2, S. 215-236. DOI: http://dx.doi.org/10.21152/1750-9548.10.2.215
dc.description.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 now reactor designs often exhibit nonlinear behaviouradditionally 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. eng
dc.language.iso eng
dc.publisher Brentwood : Multi - Science Publications Co LTD
dc.relation.ispartofseries International Journal of Mulitphysics 10 (2016), Nr. 2
dc.rights CC BY 4.0 Unported
dc.rights.uri https://creativecommons.org/licenses/by/4.0/
dc.subject structural-materials eng
dc.subject cellular-automata eng
dc.subject iter divertor eng
dc.subject element eng
dc.subject microstructures eng
dc.subject variability eng
dc.subject simulation eng
dc.subject challenges eng
dc.subject composite eng
dc.subject software eng
dc.subject.ddc 000 | Informatik, Wissen, Systeme ger
dc.subject.ddc 720 | Architektur ger
dc.title Use of massively parallel computing to improve modelling accuracy within the nuclear sector eng
dc.type article
dc.type Text
dc.relation.essn 2048-3961
dc.relation.issn 1750-9548
dc.relation.doi http://dx.doi.org/10.21152/1750-9548.10.2.215
dc.bibliographicCitation.issue 2
dc.bibliographicCitation.volume 10
dc.bibliographicCitation.firstPage 215
dc.bibliographicCitation.lastPage 236
dc.description.version publishedVersion
tib.accessRights frei zug�nglich


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