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Event sequence assessment of tornado and strong wind in sodium cooled fast reactor based on continuous Markov chain Monte Carlo method with plant dynamics analysis

竜巻および強風ハザードにおける連続マルコフ過程モンテカルロ法を用いた動特性解析によるナトリウム冷却高速炉プラントの定量的安全評価

高田 孝  ; 東 恵美子*

Takata, Takashi; Azuma, Emiko*

プラント状態の定量化を含めた総合的なリスク評価を行うことを目的に、連続マルコフ過程モンテカルロ法と動特性解析をカップリングした新たな手法を開発した。本論文では、開発した手法の適用性評価として、竜巻および強風ハザードにおけるループ型ナトリウム冷却高速炉プラントの安全性評価を実施した。その結果、本手法の適用性を確認するとともに、低頻度事象への適用として、重み付けを用いることで比較的少ないサンプル数で評価が可能な見通しを得た。

A new approach has been developed to assess event sequences under external hazard considering a plant status quantitatively and stochastically so as to take various scenarios into account automatically by applying a Continuous Markov Chain Monte Carlo (CMMC) method coupled with a plant dynamics analysis. In the paper, a tornado and a strong wind are selected as the external hazard to assess the plant safety in a loop type sodium cooled fast reactor (SFR). As a result, it is demonstrated that the various scenarios where the order of the occurrence event and its occurrence time differs from each other can be assessed simultaneously as well as the statistical characteristics of plant parameter such as the coolant temperature. Furthermore, a weight factor is introduced so as to investigate the low failure probability events with a comparative small number of the sampling.

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