An improved deterministic truncation of Monte Carlo solution for pin-resolved nuclear reactor analysis

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dc.contributor.authorKim, Inhyungko
dc.contributor.authorKim, Yongheeko
dc.date.accessioned2021-11-02T06:40:32Z-
dc.date.available2021-11-02T06:40:32Z-
dc.date.created2021-11-02-
dc.date.created2021-11-02-
dc.date.created2021-11-02-
dc.date.issued2022-02-
dc.identifier.citationANNALS OF NUCLEAR ENERGY, v.166-
dc.identifier.issn0306-4549-
dc.identifier.urihttp://hdl.handle.net/10203/288497-
dc.description.abstractAn improved deterministic truncation of Monte Carlo (iDTMC) solution method has been developed for acceleration and variance reduction of Monte Carlo (MC) neutronic analysis. A new calculational strategy has been applied by taking advantages of partial-current-based coarse mesh finite difference (p-CMFD) method with two different mesh sizes in a tactical way. Fast convergence of source distribution is attained by a coupled assembly-wise p-CMFD method in inactive cycles, and detailed deterministic solutions are obtained by a decoupled pin-wise p-CMFD method in active cycles. Assistant schemes are also devised to enhance efficiency of the iDTMC method, which include one-node p-CMFD acceleration, new inactive cycle strategy, and real variance estimation method for iDTMC solutions. The iDTMC method is evaluated in a small reactor and a big-size one. The iDTMC solutions are compared with those of the pCMFD accelerated MC calculation, and they are appraised in terms of source convergence, computing time, and figure-of-merit. (c) 2021 Elsevier Ltd. All rights reserved.-
dc.languageEnglish-
dc.publisherPERGAMON-ELSEVIER SCIENCE LTD-
dc.titleAn improved deterministic truncation of Monte Carlo solution for pin-resolved nuclear reactor analysis-
dc.typeArticle-
dc.identifier.wosid000707760500005-
dc.identifier.scopusid2-s2.0-85116620404-
dc.type.rimsART-
dc.citation.volume166-
dc.citation.publicationnameANNALS OF NUCLEAR ENERGY-
dc.identifier.doi10.1016/j.anucene.2021.108723-
dc.contributor.localauthorKim, Yonghee-
dc.description.isOpenAccessN-
dc.type.journalArticleArticle-
dc.subject.keywordAuthorMonte Carlo method-
dc.subject.keywordAuthorp-CMFD-
dc.subject.keywordAuthoriDTMC-
dc.subject.keywordAuthorOne-node CMFD acceleration-
dc.subject.keywordAuthorVariance reduction-
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