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多种影响因素下的设备易损性计算
引用本文:叶逊敏,张征明,万力.多种影响因素下的设备易损性计算[J].原子能科学技术,2018,52(8):1453-1458.
作者姓名:叶逊敏  张征明  万力
作者单位:清华大学 核能与新能源技术研究院,先进核能技术协同创新中心,先进反应堆工程与安全教育部重点实验室,北京100084
摘    要:抗震裕度评估是核电厂地震安全评估的方法之一,通过地震易损性分析计算高置信度低失效概率的抗震能力值是抗震裕度评估中很重要的一步。本文对于同时受到多种失效模式影响的设备易损性计算进行了研究,讨论了蒙特卡罗抽样方法和拉丁超立方分布抽样方法在设备易损性计算中的应用,对两种抽样方法的计算效率和准确度进行了评价。结果表明,在小样本抽样计算时拉丁超立方抽样方法有更好的计算效率和收敛速度,在1 000次样本数量时,两种抽样方法计算结果均可达到收敛。

关 键 词:易损性    蒙特卡罗抽样方法    拉丁超立方抽样方法

Calculation of Equipment Fragility under Various Influencing Factors
YE Xunmin,ZHANG Zhengming,WAN Li.Calculation of Equipment Fragility under Various Influencing Factors[J].Atomic Energy Science and Technology,2018,52(8):1453-1458.
Authors:YE Xunmin  ZHANG Zhengming  WAN Li
Affiliation:Institute of Nuclear and New Energy Technology, Collaborative Innovation Center of Advanced Nuclear Energy Technology, Key Laboratory of Advanced Reactor Engineering and Safety of Ministry of Education, Tsinghua University, Beijing 100084, China
Abstract:The seismic margin assessment (SMA) is one of methods of earthquake safety assessment for nuclear power plants. It is an important step in SMA to calculate the high confidence of low probability of failure (HCLPF) value by seismic fragility analysis. The fragility calculation of equipment affected by multiple failure modes was studied in this paper. The Monte Carlo sampling method and Latin hypercube sampling method were used and discussed in the fragility calculation of equipment, and the efficiency and accuracy of the two methods were evaluated. The results show that the Latin hypercube sampling method has better computational efficiency and convergence rate in the small sampling calculation. If the sample size reaches 1 000, two sampling methods can achieve convergence results.
Keywords:fragility  Monte Carlo sampling method  Latin hypercube sampling method
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