基于最优化线抽样法的XAPR自然循环功能失效研究与分析  

Functional Failure Research and Analysis on Natural Circulation of XAPR Based on Optimized Line Sampling Method

作　　者：王宝生 唐秀欢[1] 包利红 朱磊[1] WANG Baosheng;TANG Xiuhuan;BAO Lihong;ZHU Lei(Northwest Institute of Nuclear Technology,Xi’an 710024,China)

机构地区：[1]西北核技术研究所,陕西西安710024

出　　处：《原子能科学技术》2019年第2期282-289,共8页Atomic Energy Science and Technology

摘　　要：针对多维不确定性参数、小失效概率的功能可靠性分析,提出了一种优化线抽样的可靠性分析方法。该方法采用遗传算法求解约束条件的优化模型来寻求最优化重要方向,进而得到失效概率的高效估计。以西安脉冲堆(XAPR)自然循环冷却堆芯能力的可靠性评价为例,考虑模型与输入参数的不确定性,对中破口失水事故下的自然循环功能失效概率进行了量化分析。结果表明:与其他概率评估方法相比,本文方法具有很高的计算效率,同时又能保证很好的计算精度;对隐式非线性的功能可靠性分析是有效可行的,具有很强的适应性。In order to solve the problem of multi-dimensional uncertainties and small functional failure probability in passive system reliability analysis,an optimized line sampling method was presented.In the presented method,genetic algorithm was employed to solve the nonlinear constrained minimization problem for identifying the optimal important direction of line sampling,and then the failure probability could be evaluated by line sampling with high efficiency.Taking the reliability estimation on the capacity of natural circulation cooling in reactor core of Xi’an Pulsed Reactor for example,the uncertainties related to the model and the input parameters were considered in this paper.Natural circulation functional failure probability was calculated under loss of coolant accident.The numerical results show that the presented method has the high computing efficiency and excellent computing accuracy compared with traditional probability analysis methods.In addition,this method demonstrates the efficiency and feasibility for functional reliability analysis of implicit nonlinear limit state function with high dimensional variables and small failure probability.

关 键 词：概率安全评价 功能失效 自然循环 西安脉冲堆 最优化线抽样法 

分 类 号：TL364[核科学技术—核技术及应用]