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Lee, Deokjung
Computational Reactor physics & Experiment Lab.
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dc.citation.startPage 106748 -
dc.citation.title COMPUTER PHYSICS COMMUNICATIONS -
dc.citation.volume 251 -
dc.contributor.author Yu, Jiankai -
dc.contributor.author Lee, Hyunsuk -
dc.contributor.author Kim, Hanjoo -
dc.contributor.author Zhang, Peng -
dc.contributor.author Lee, Deokjung -
dc.date.accessioned 2023-12-21T17:37:12Z -
dc.date.available 2023-12-21T17:37:12Z -
dc.date.created 2019-05-29 -
dc.date.issued 2020-06 -
dc.description.abstract The steady-state fuel behavior prediction code FRAPCON has been coupled with the Monte Carlo code MCS to accomplish fuel performance analysis capability. The Monte Carlo based multi-physics coupling analysis for large-scale light water reactors (LWRs) with high fidelity has mostly focused on the inner coupling of the Monte Carlo neutronics analysis code and the thermal–hydraulics code. However, there are still some issues that cannot be considered precisely when predicting fuel thermal conductivity, and the gap thermal conductance between fuel pellets and cladding with the increase of burnup. Therefore, the FRAPCON has been chosen in this paper to be coupled with the MCS code to increase the accuracy of fuel temperature calculations and the corresponding fuel temperature feedback. A fixed-point iteration scheme is adopted for the coupling interface, which has been verified by a single rod case. In addition, the paper also depicts the application of the MCS/FRAPCON coupling system to the BEAVRS quarter core benchmark, by comparison with MCS internal one-dimension T/H solver — TH1D. The results clearly explain the necessity for considering the fuel performance in multi-physics coupling analysis and demonstrate the capability of the MCS/FRAPCON coupling system. -
dc.identifier.bibliographicCitation COMPUTER PHYSICS COMMUNICATIONS, v.251, pp.106748 -
dc.identifier.doi 10.1016/j.cpc.2019.03.001 -
dc.identifier.issn 0010-4655 -
dc.identifier.scopusid 2-s2.0-85065535348 -
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/27484 -
dc.identifier.url https://www.sciencedirect.com/science/article/pii/S0010465519300712?via%3Dihub -
dc.identifier.wosid 000528002400001 -
dc.language 영어 -
dc.publisher ELSEVIER -
dc.title Coupling of FRAPCON for fuel performance analysis in the Monte Carlo code MCS -
dc.type Article -
dc.description.isOpenAccess FALSE -
dc.relation.journalWebOfScienceCategory Computer Science, Interdisciplinary Applications; Physics, Mathematical -
dc.relation.journalResearchArea Computer Science; Physics -
dc.type.docType Article -
dc.description.journalRegisteredClass scie -
dc.description.journalRegisteredClass scopus -
dc.subject.keywordAuthor MCS -
dc.subject.keywordAuthor FRAPCON -
dc.subject.keywordAuthor Thermal conductivity -
dc.subject.keywordAuthor Gap conductance -
dc.subject.keywordAuthor Fuel performance analysis -

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