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基于人工神经网络的结构可靠性分析
引用本文:杨多和,安伟光,李铁钧.基于人工神经网络的结构可靠性分析[J].兵工学报,2007,28(4):495-498.
作者姓名:杨多和  安伟光  李铁钧
作者单位:哈尔滨工程大学航天工程系,黑龙江哈尔滨150001
摘    要:在结构可靠性分析中,通过人工神经网络拟合极限状态函数,借助神经网络的函数映射关系产生极限状态函数值。采用Mont。Carlo法随机抽样的思路,对大范围的数据进行概率分析,得到极限状态函数值的均值和标准差,求得结构系统的可靠性指标,该方法为极限状态函数无法显式表达的结构系统可靠性分析问题提供了一个可行方法。

关 键 词:人工智能      人工神经网络      极限状态函数      结构可靠性      Monte  Carlo法  
文章编号:1000-1093(2007)04-0495-04
修稿时间:11 17 2005 12:00AM

Structural Reliability Analysis Based on Artificial Neural Network
YANG Duo-he,AN Wei-guang,LI Tie-jun.Structural Reliability Analysis Based on Artificial Neural Network[J].Acta Armamentarii,2007,28(4):495-498.
Authors:YANG Duo-he  AN Wei-guang  LI Tie-jun
Affiliation:School of Civil Engineering, Harbin Engineering University, Harbin 150001,Heilongjiang, China
Abstract:The limit state function can be fitted by artificial neural network and its value can be generated by function mapping relation of neural netwok for the structure reliability analysis. Adopting the thinking of Monte Carlo random samples, the probability analysis to the data of the big scope can be carried on, the mean value of the limit state function and standard deviation can be got, the reliability index of the structure system can be solved. Under the condition that the limit state function is unable to make explicit expression, a feasible method was provided for reliability analysis question of the structure system.
Keywords:artificial intelligence  artificial neural network  limit state function  structural reliability  Monte Carlo method
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