节点文献
基于动态故障树和Figaro的AP1000重要厂用水系统不可用率分析
Unavailability Analysis on AP1000 Service Water System Based on Dynamic Fault Tree and Figaro
【Author】 Zhang Xue-song;Xia Lin-lu;Liu Yang;Zhou Shi-liang;Zhang-Lei;School of Nuclear Science and Engineering, North China Electric Power University;
【机构】 华北电力大学核科学与工程学院；
【摘要】 重要厂用水系统是AP1000核电厂安全运行的关键支持系统。对其可靠性进行深入分析,有助于准确评估核电厂整体运行风险。本文构建了重要厂用水系统的动态故障树模型,然后基于概率编程语言Figaro将动态故障树转换为等效马尔科夫模型,并采用多种概率推理算法进行了定量分析。分析结果认为所提动态故障树定量分析方法适用于小规模系统;AP1000重要厂用水系统不可用率约为8×10-6,满足设计要求。
【Abstract】 The service water system is a crucial support system of the operation of AP1000 power plant. Comprehensive analysis of its reliability contributes to accurate assessment of the whole failure risk of the power plant. The dynamic fault tree model of SWS of AP1000 was established and it was transformed into Markov model using the probabilistic programming language Figaro. And the model was quantitatively analyzed using multiple probabilistic inference algorithms. The analysis result indicates that the method referred is suitable for small-scale systems; and the unavailability of SWS of AP1000 is about 5 × 10-6, which meets the design requirement.
【Key words】 AP1000 power plant； the service water system； dynamic fault tree； probabilistic programming language； probabilistic inference algorithms； unavailability；
- 【会议录名称】 中国核科学技术进展报告（第七卷）——中国核学会2021年学术年会论文集第10册（核安全分卷、核安保分卷、核环保分卷）
- 【会议名称】中国核学会2021年学术年会
- 【会议时间】2021-10-19
- 【会议地点】中国山东烟台
- 【分类号】TM623
- 【主办单位】中国核学会