Dynamic PRA of Flooding-Initiated Accident Scenarios using THALES2-RAPID

K. Kubo, Xiaoyu Zheng, Yoichi Tanaka, H. Tamaki, T. Sugiyama, Sunghyon Jang, T. Takata, A. Yamaguchi
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引用次数: 3

Abstract

Probabilistic risk assessment (PRA) is one of the methods used to assess the risks associated with large and complex systems. When the risk of an external event is evaluated using conventional PRA, a particular limitation is the difficulty in considering the timing at which nuclear power plant structures, systems, and components fail. To overcome this limitation, we coupled thermal-hydraulic and external-event simulations using Risk Assessment with Plant Interactive Dynamics (RAPID). Internal flooding was chosen as the representative external event, and a pressurized water reactor plant model was used. Equations based on Bernoulli’s theorem were applied to flooding propagation in the turbine building. In the analysis, uncertainties were taken into account, including the flow rate of the flood water source and the failure criteria for the mitigation systems. In terms of recovery action, isolation of the flood water source by the operator and drainage using a pump were modeled based on several assumptions. The results indicate that the isolation action became more effective when combined with drainage.
基于THALES2-RAPID的洪水引发事故情景的动态PRA
概率风险评估(PRA)是一种用于评估大型复杂系统风险的方法。当使用传统的PRA评估外部事件风险时,一个特别的限制是难以考虑核电厂结构、系统和部件失效的时间。为了克服这一限制,我们使用风险评估与植物交互动力学(RAPID)将热工和外部事件模拟结合起来。选取内部淹水作为外部事件的代表,采用压水堆装置模型。将基于伯努利定理的方程应用于水轮机建筑物内的洪水传播。在分析中,考虑了不确定性因素,包括洪水水源的流量和减灾系统的失效准则。在采收率方面,根据几个假设,对作业者隔离洪水水源和使用泵排水进行了建模。结果表明,与排水相结合,隔离效果更好。
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