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Systematic approach and mathematical development for conditional core damage probabilities under station blackout of a nuclear power plant

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dc.contributor.authorKim, M.C.-
dc.date.accessioned2021-11-19T02:40:05Z-
dc.date.available2021-11-19T02:40:05Z-
dc.date.issued2022-01-
dc.identifier.issn0951-8320-
dc.identifier.issn1879-0836-
dc.identifier.urihttps://scholarworks.bwise.kr/cau/handle/2019.sw.cau/51637-
dc.description.abstractStation blackout (SBO), a total loss of alternating current (AC) power, is considered to contribute significantly to nuclear power plant risk. The analysis of SBO risk is complicated due to time-dependent interactions among events. Simplifying assumptions that are currently used extensively in probabilistic safety assessment may lead to an overly conservative estimation of SBO risk, which may distort the overall plant risk profile and the associated accident management strategy. To calculate more accurate SBO risk, this study first identified SBO sequences and the associated time-dependent interactions by differentiating fail-to-start and fail-to-run failures of alternative AC power source and turbine-driven pumps. Mathematical formulas were developed to calculate the conditional core damage probabilities corresponding to the identified SBO sequences. These mathematical formulas were verified via a Monte Carlo simulation. This study is expected to contribute to the development of an integrated framework for SBO risk analysis that includes all possible SBO sequences, related events, and their time-dependent interactions. © 2021-
dc.language영어-
dc.language.isoENG-
dc.publisherElsevier Ltd-
dc.titleSystematic approach and mathematical development for conditional core damage probabilities under station blackout of a nuclear power plant-
dc.typeArticle-
dc.identifier.doi10.1016/j.ress.2021.107969-
dc.identifier.bibliographicCitationReliability Engineering and System Safety, v.217-
dc.description.isOpenAccessN-
dc.identifier.wosid000708365800001-
dc.identifier.scopusid2-s2.0-85116536193-
dc.citation.titleReliability Engineering and System Safety-
dc.citation.volume217-
dc.type.docTypeArticle-
dc.publisher.location영국-
dc.subject.keywordAuthorEmergency diesel generator-
dc.subject.keywordAuthorLoss of offsite power-
dc.subject.keywordAuthorMathematical development-
dc.subject.keywordAuthorMonte Carlo simulation-
dc.subject.keywordAuthorProbabilistic safety assessment-
dc.subject.keywordAuthorStation blackout-
dc.subject.keywordPlusDamage detection-
dc.subject.keywordPlusDiesel engines-
dc.subject.keywordPlusElectric impedance measurement-
dc.subject.keywordPlusIntelligent systems-
dc.subject.keywordPlusNuclear energy-
dc.subject.keywordPlusNuclear fuels-
dc.subject.keywordPlusNuclear power plants-
dc.subject.keywordPlusOutages-
dc.subject.keywordPlusRisk analysis-
dc.subject.keywordPlusRisk assessment-
dc.subject.keywordPlusRisk perception-
dc.subject.keywordPlusCore damage probabilities-
dc.subject.keywordPlusDiesel generators-
dc.subject.keywordPlusEmergency diesel generator-
dc.subject.keywordPlusLoss of offsite power-
dc.subject.keywordPlusMathematical development-
dc.subject.keywordPlusMonte Carlo's simulation-
dc.subject.keywordPlusOffsite power-
dc.subject.keywordPlusProbabilistic safety assessment-
dc.subject.keywordPlusStation blackout-
dc.subject.keywordPlusTime-dependent interaction-
dc.subject.keywordPlusMonte Carlo methods-
dc.relation.journalResearchAreaEngineering-
dc.relation.journalResearchAreaOperations Research & Management Science-
dc.relation.journalWebOfScienceCategoryEngineering, Industrial-
dc.relation.journalWebOfScienceCategoryOperations Research & Management Science-
dc.description.journalRegisteredClassscopus-
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