Probability subtraction method for accurate quantification of seismic multi-unit probabilistic safety assessment
| Autor: | Woo Sik Jung, Seong Kyu Park |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Subtraction method
Computer science 020209 energy Probabilistic logic Delete-term approximation method (DTAM) 02 engineering and technology lcsh:TK9001-9401 030218 nuclear medicine & medical imaging 03 medical and health sciences 0302 clinical medicine Nuclear Energy and Engineering Plant state Multi-unit probabilistic safety assessment (MUPSA) 0202 electrical engineering electronic engineering information engineering lcsh:Nuclear engineering. Atomic power Multi unit Probability subtraction method (PSM) Algorithm |
| Zdroj: | Nuclear Engineering and Technology, Vol 53, Iss 4, Pp 1146-1156 (2021) |
| ISSN: | 1738-5733 |
| Popis: | Single-unit probabilistic safety assessment (SUPSA) has complex Boolean logic equations for accident sequences. Multi-unit probabilistic safety assessment (MUPSA) model is developed by revising and combining SUPSA models in order to reflect plant state combinations (PSCs). These PSCs represent combinations of core damage and non-core damage states of nuclear power plants (NPPs). Since all these Boolean logic equations have complemented gates (not gates), it is not easy to generate exact Boolean solutions. Delete-term approximation method (DTAM) has been widely applied for generating approximate minimal cut sets (MCSs) from the complex Boolean logic equations with complemented gates. By applying DTAM, approximate conditional core damage probability (CCDP) has been calculated in SUPSA and MUPSA. It was found that CCDP calculated by DTAM was overestimated when complemented gates have non-rare events. Especially, the CCDP overestimation drastically increases if seismic SUPSA or MUPSA has complemented gates with many non-rare events. The objective of this study is to suggest a new quantification method named probability subtraction method (PSM) that replaces DTAM. The PSM calculates accurate CCDP even when SUPSA or MUPSA has complemented gates with many non-rare events. In this paper, the PSM is explained, and the accuracy of the PSM is validated by its applications to a few MUPSAs. |
| Databáze: | OpenAIRE |
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