Conference Proceedings Paper
Dynamic Scenario Quantification Based on Continuous Markov Monte Carlo Method With Meta-Model of Thermalhydraulics for Level 2 PSA
NURETH-14 - 2011 September 25-30
Satoshi Shinzaki (Osaka University)
Akira Yamaguchi (Osaka University)
Takashi Takata (Osaka University)
Hiroshi Endo (Japan Nuclear Energy Safety Organization)
Tomoko Ishizu (Japan Nuclear Energy Safety Organization)
We have established a dynamic scenario quantification method based on the coupling of a
Continuous Markov Monte Carlo (CMMC) method and a plant thermal-hydraulics analysis code
for level 2 PSA (probabilistic safety assessment). This paper presents meta-analysis coupling
model to obtain the dynamic scenario quantification with a reasonable computational cost. The
PLOHS (protected-loss-of-heat-sink) accident of a liquid sodium fast reactor is selected as the
level 2 PSA scenario in the model. Furthermore, we also discuss categorizing methods of the
quantification result because the coupling method differs widely from existing event tree method.
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