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A rapid modeling method and accuracy criteria for common-cause failures in Risk Monitor PSA model
Zhang, Bing,Chen, Shanqi,Lin, Zhixian,Wang, Shaoxuan,Wang, Zhen,Ge, Daochuan,Guo, Dingqing,Lin, Jian,Wang, Fang,Wang, Jin Korean Nuclear Society 2021 Nuclear Engineering and Technology Vol.53 No.1
In the development of a Risk Monitor probabilistic safety assessment (PSA) model from the basic PSA model of a nuclear power plant, the modeling of common-cause failure (CCF) is very important. At present, some approximate modeling methods are widely used, but there lacks criterion of modeling accuracy and error analysis. In this paper, aiming at ensuring the accuracy of risk assessment and minimizing the Risk Monitor PSA models size, we present three basic issues of CCF model resulted from the changes of a nuclear power plant configuration, put forward corresponding modeling methods, and derive accuracy criteria of CCF modeling based on minimum cut sets and risk indicators according to the requirements of risk monitoring. Finally, a nuclear power plant Risk Monitor PSA model is taken as an example to demonstrate the effectiveness of the proposed modeling method and accuracy criteria, and the application scope of the idea of this paper is also discussed.
Jie Cheng,Jie Liu,Shanqi Chen,Yazhou Li,Jin Wang,Fang Wang 한국원자력학회 2022 Nuclear Engineering and Technology Vol.54 No.4
Risk-informed safety classification of structures, systems and components (SSCs) is very important forensuring the safety and economic efficiency of nuclear power plants (NPPs). However, previous methodsfor safety classification of SSCs do not take the plant operating modes or the operational process of SSCsinto consideration, thus cannot concentrate on the safety and economic efficiency accurately. In thiscontribution, a new method for safety classification of SSCs based on the categorization of plant operating modes is proposed, which considers the NPPs operating history to improve the economic efficiencies while maintaining the safety. According to the time duration of plant configurations in plantoperating modes, average importances of SSCs are accessed for an NPP considering the operationalprocess, and then safety classification of SSCs is performed for plant operating modes. The correctnessand effectiveness of the proposed method is demonstrated by application in an NPP's safety classificationof SSCs