Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 제무성 | - |
dc.date.accessioned | 2021-11-30T01:53:00Z | - |
dc.date.available | 2021-11-30T01:53:00Z | - |
dc.date.issued | 2020-05 | - |
dc.identifier.citation | RELIABILITY ENGINEERING & SYSTEM SAFETY, v. 203, article no. 107012 | en_US |
dc.identifier.issn | 0951-8320 | - |
dc.identifier.issn | 1879-0836 | - |
dc.identifier.uri | https://www.sciencedirect.com/science/article/pii/S0951832020305135?via%3Dihub | - |
dc.identifier.uri | https://repository.hanyang.ac.kr/handle/20.500.11754/166523 | - |
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. | en_US |
dc.description.sponsorship | This work was supported by the Nuclear Safety Research Program through the Korea Foundation of Nuclear Safety (KOFONS), granted financial resource from the Multi-Unit Risk Research Group (MURRG), Republic of Korea (No. 1705001). | en_US |
dc.language.iso | en | en_US |
dc.publisher | ELSEVIER SCI LTD | en_US |
dc.subject | Inter-unit common cause failure | en_US |
dc.subject | Swain's dependency model | en_US |
dc.subject | Multi-unit loss of off-site power | en_US |
dc.subject | Multi-unit probabilistic safety assessment | en_US |
dc.title | A development of methodology for assessing the inter-unit common cause failure in multi-unit PSA model | en_US |
dc.type | Article | en_US |
dc.relation.volume | 203 | - |
dc.identifier.doi | 10.1016/j.ress.2020.107012 | - |
dc.relation.page | 1-13 | - |
dc.relation.journal | RELIABILITY ENGINEERING & SYSTEM SAFETY | - |
dc.contributor.googleauthor | Jang, Seunghyun | - |
dc.contributor.googleauthor | Jae, Moosung | - |
dc.relation.code | 2020054755 | - |
dc.sector.campus | S | - |
dc.sector.daehak | COLLEGE OF ENGINEERING[S] | - |
dc.sector.department | DEPARTMENT OF NUCLEAR ENGINEERING | - |
dc.identifier.pid | jae | - |
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