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A development of methodology for assessing the inter-unit common cause failure in multi-unit PSA model
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Jang, Seunghyun | - |
| dc.contributor.author | Jae, Moosung | - |
| dc.date.accessioned | 2021-08-02T08:50:52Z | - |
| dc.date.available | 2021-08-02T08:50:52Z | - |
| dc.date.created | 2021-05-12 | - |
| dc.date.issued | 2020-11 | - |
| dc.identifier.issn | 0951-8320 | - |
| dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/8809 | - |
| dc.description.abstract | The inter-unit common cause failure (CCF) is an event that multiple components are failed simultaneously by common factors may existent in nuclear power plants on a site. The inter-unit CCF can be identified as one of the inter-unit dependencies that has an impact on the multi-unit probabilistic safety assessment (MUPSA). For instance, it may adversely affect the accident mitigation in accident scenarios of multiple units. Therefore, the MUPSA model should be developed considering the inter-unit CCF. In this study, we proposed two methods with the Swain's dependency model and the CCF data in the single-unit PSA (SUPSA) to calculate the inter-unit CCF. The Swain's dependency model is used to calculate the conditional probability considering the dependency level between each CCF event in two different units. To perform the case study, the inter-unit CCF events of emergency diesel generators (EDGs) and alternate AC diesel generators (AAC DGs) in 4 units of different pressurized water reactor (PWR) types were analysed in the case of the multi-unit loss of off-site power (MULOOP). It is expected that methodologies in this study will contribute to the multi-unit level 1 PSA model development as well as evaluating the site risk in the future. | - |
| dc.language | 영어 | - |
| dc.language.iso | en | - |
| dc.publisher | ELSEVIER SCI LTD | - |
| dc.title | A development of methodology for assessing the inter-unit common cause failure in multi-unit PSA model | - |
| dc.type | Article | - |
| dc.contributor.affiliatedAuthor | Jae, Moosung | - |
| dc.identifier.doi | 10.1016/j.ress.2020.107012 | - |
| dc.identifier.scopusid | 2-s2.0-85086592515 | - |
| dc.identifier.wosid | 000567911600001 | - |
| dc.identifier.bibliographicCitation | RELIABILITY ENGINEERING & SYSTEM SAFETY, v.203, pp.1 - 13 | - |
| dc.relation.isPartOf | RELIABILITY ENGINEERING & SYSTEM SAFETY | - |
| dc.citation.title | RELIABILITY ENGINEERING & SYSTEM SAFETY | - |
| dc.citation.volume | 203 | - |
| dc.citation.startPage | 1 | - |
| dc.citation.endPage | 13 | - |
| dc.type.rims | ART | - |
| dc.type.docType | Article | - |
| dc.description.journalClass | 1 | - |
| dc.description.isOpenAccess | N | - |
| dc.description.journalRegisteredClass | scie | - |
| dc.description.journalRegisteredClass | scopus | - |
| dc.relation.journalResearchArea | Engineering | - |
| dc.relation.journalResearchArea | Operations Research & Management Science | - |
| dc.relation.journalWebOfScienceCategory | Engineering, Industrial | - |
| dc.relation.journalWebOfScienceCategory | Operations Research & Management Science | - |
| dc.subject.keywordPlus | RISK | - |
| dc.subject.keywordAuthor | Inter-unit common cause failure | - |
| dc.subject.keywordAuthor | Swain&apos | - |
| dc.subject.keywordAuthor | s dependency model | - |
| dc.subject.keywordAuthor | Multi-unit loss of off-site power | - |
| dc.subject.keywordAuthor | Multi-unit probabilistic safety assessment | - |
| dc.identifier.url | https://www.sciencedirect.com/science/article/pii/S0951832020305135?via%3Dihub | - |
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