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基于子集模拟和通用生成函数的结构可靠性分析

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传统的结构可靠性分析方法在处理多维非正态分布、小失效概率以及功能函数高度非线性问题时,很难以较低成本获得满意的精度.为了克服现有方法的不足,将子集模拟法(SS)与通用生成函数(UGF)相结合,提出结构可靠性分析的UGF-SS法.根据子集模拟思想,利用通用生成函数获得中间失效概率,从而获得结构失效概率.对随机变量进行低密度离散,获得结构通用生成函数,划分中间事件,计算失效概率.在之后的模拟中针对中间事件进行非均匀自适应细分,获得每层中间失效概率.最后一层模拟利用拉丁超立方抽样扩充中间事件样本,计算失效概率.模拟结束后,各中间失效概率相乘得到结构失效概率.通过算例分析验证了所提方法的合理性和可行性,所提方法在保留子集模拟法高效率的同时,发挥了通用生成函数对任意随机变量和功能函数的普适性,保证了结果的精度.
Structural Reliability Analysis Based on Subset Simulation Method and Universal Generating Function
The traditional structural reliability analysis method is difficult to obtain satisfactory accuracy at low cost when dealing with the problems of multidimensional non-normal distribution,small failure probability and high nonlinear function.In order to over-come the shortcomings of existing methods,the UGF-SS method for structural reliability analysis was proposed by combining the subset simulation method(SS)with the universal generating function(UGF).The intermediate failure probabilities were obtained by using the universal generating function according to the idea of subset simulation,thus the structural failure probability was obtained.The random variables were discretized in low density to obtain the structural universal generating function,the intermediate events were divided and the failure probabilities were calculated.In subsequent simulations,a non-uniform adaptive subdivision was performed for the intermedi-ate events to obtain the intermediate failure probabilities for each layer.In the last layer of simulation,the intermediate event samples were expanded using Latin hypercube sampling to calculate the failure probabilities.After the simulation,each intermediate failure prob-ability was multiplied to obtain the structural failure probability.The reasonableness and feasibility of the proposed method are verified through the analysis of examples,and the proposed method retains the high efficiency of the subset simulation method while exerting the universality of the universal generating function to arbitrary random variables and functional functions,the accuracy of the results is en-sured.

structural reliabilitysubset simulationuniversal generating functionLatin hypercube sampling

鲍志鹏、周金宇

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江苏理工学院机械工程学院,江苏常州 213001

金陵科技学院机电工程学院,江苏南京 211169

结构可靠性 子集模拟 通用生成函数 拉丁超立方抽样

2024

机床与液压
中国机械工程学会 广州机械科学研究院有限公司

机床与液压

CSTPCD北大核心
影响因子:0.32
ISSN:1001-3881
年,卷(期):2024.52(22)