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基于神经网络响应面法的随机结构动力可靠度分析
引用本文:陈颖,宁佐贵. 基于神经网络响应面法的随机结构动力可靠度分析[J]. 振动与冲击, 2007, 26(1): 65-68
作者姓名:陈颖  宁佐贵
作者单位:中国工程物理研究院结构力学研究所,绵阳,621900
基金项目:中国工程物理研究院基金
摘    要:在对神经网络响应面法的原理和算法进行研究的基础上,建立了基于神经网络响应面法的随机结构动力可靠度分析方法。首先,基于首次超越破坏准则,参照静力可靠度的功能函数模式,建立了随机结构的动力可靠度功能函数;然后引入响应面法,以三层BP神经网络作为拟合函数,推导了功能函数的拟合表达式;最后结合一次二阶矩方法求解可靠指标。算例分析表明了本文方法有较好的计算精度和计算效率,在复杂结构的动力可靠度分析中有较强的实用价值。

关 键 词:神经网络  响应面法  随机结构  动力可靠度
修稿时间:2005-11-10

Dynamic Reliability Analysis of A Stochastic Structure With Neural Network Response Surface Method
Chen Ying,Ning Zuogui. Dynamic Reliability Analysis of A Stochastic Structure With Neural Network Response Surface Method[J]. Journal of Vibration and Shock, 2007, 26(1): 65-68
Authors:Chen Ying  Ning Zuogui
Abstract:Based on theory and algorithm of Neural Network Response Surface Method,a method for dynamic reliability analysis of a stachatic structure is presented.Firstly,based on the first excursion failure criterion of random vibration and the performance function of static reliability,the performance function for the dynamic reliability of the structure is established.Then,three-layer BP network is used as the fitting function of the performance function and its expression is deduced.Finally,the reliability index is obtained with first order second moment.An example shows this method has high accuracy and efficiency.It is valuable in dynamic reliability analysis of complex structures.
Keywords:stochastic structure  dynamic reliability  neural network  response surface method
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