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


Presented at:
NURETH-14
2011 September 25-30
Location:
Toronto, Canada
Session Title:
E6-1 Safety Analysis of Sodium Cooled, RBMK and VVER Reactors

Authors:
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)
  

Abstract

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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