AIMS-MUPSA software package for multi-unit PSA

Sang Hoon Han, Kyemin Oh, Ho-Gon Lim, Joon-Eon Yang

Nuclear Engineering and Technology · 2018 · 33 citations · 12 references

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Abstract

The need for a PSA (Probabilistic Safety Assessment) for a multi-unit at a site is growing after the Fukushima accident. Many countries have been studying issues regarding a multi-unit PSA. One of these issues is the problem of many combinations of accident sequences in a multi-unit PSA. This paper deals with the methodology and software to quantify a PSA scenarios for a multi-unit site. Two approaches are developed to quantify a multi-unit PSA. One is to use a minimal cut set approach, and the other is to use a Monte Carlo approach. Keywords: Multi-unit PSA, Multi-unit PSA scenario, Minimal cut set approach, Monte Carlo approach, PSA software

References

12