Dynamic scenario quantification based on continuous Markov Monte Carlo method with meta-model of thermal hydraulics for level 2 PSA

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. (author)