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Lee, Deokjung
Computational Reactor physics & Experiment Lab.
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dc.citation.conferencePlace US -
dc.citation.endPage 2754 -
dc.citation.startPage 2746 -
dc.citation.title 2019 International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering, M and C 2019 -
dc.contributor.author Hursin, Mathieu -
dc.contributor.author Park, Jinsu -
dc.contributor.author Kim, Wonkyeong -
dc.contributor.author Siefman, Daniel -
dc.contributor.author Perret, Gregory -
dc.contributor.author Vasiliev, Alexander -
dc.contributor.author Rochman, Dimitri -
dc.contributor.author Pautz, Andreas -
dc.contributor.author Ferroukhi, Hakim -
dc.contributor.author Lee, Deokjung -
dc.date.accessioned 2024-02-01T00:05:52Z -
dc.date.available 2024-02-01T00:05:52Z -
dc.date.created 2020-01-29 -
dc.date.issued 2019-08-25 -
dc.description.abstract This paper presents an improved uncertainty quantification method for the validation of CASMO-5 on the spent fuel reactivity worth experiments of the LWR-PROTEUS Phase II program. For this method, we modeled with CASMO-5 the spent fuel reactivity worth measurement in the PROTEUS research reactor and the prior irradiation of the fuel in a Swiss nuclear power plant. We propagated the nuclear data uncertainties coming from cross-sections and fission yields in both fuel irradiations and reactivity worth experiment models using the SHARK-X tool. The fission yield and cross-section uncertainties have similar contributions to the uncertainty of the reactivity worth prediction. The reactivity worth probability distribution is non-normal because of the non-normal distribution of the perturbed fission yield data produced by the GEF code. The reactivity worth predictions obtained with CASMO-5 are very accurate for various moderating conditions and for all exposure conditions, even for burnup higher than 100 MWd/kg. Finally, we estimated the effects of the irradiation history specifications as well as various sources of nuclear data uncertainties on the relative reactivity worth uncertainty for a subset of the burnt fuel samples. The uncertainties due to the irradiation history specifications appear to be negligible. Scale-6.2, ENDF/B-VII.1 and JEFF-3.3 cross-sections uncertainty lead to consistent uncertainty estimates while the source of fission yield input uncertainty strongly affects the magnitude of the output. -
dc.identifier.bibliographicCitation 2019 International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering, M and C 2019, pp.2746 - 2754 -
dc.identifier.scopusid 2-s2.0-85075396203 -
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/79355 -
dc.language 영어 -
dc.publisher American Nuclear Society -
dc.title Uncertainty quantification of LWR-PROTEUS phase II experiments using CASMO-5 -
dc.type Conference Paper -
dc.date.conferenceDate 2019-08-25 -

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