STRUCTURAL RELIABILITY ANALYSIS BASED ON NEURAL NETWORK AND FINITE ELEMENT METHOD
A new approach for structural reliability analysis with implicit performance function is presented by combining the neural network, finite element method (FEM) and first-order reliability method (FORM). BP network is applied to approximate the implicit performance function, which is more flexible and adaptive than the polynomial function used in response surface method. The first derivatives of the performance function with respect to random variables can be obtained by the successful trained BP network, which plays an important role in calculating the reliability index. The training samples come from the numerical results of FEM. Two examples are given to demonstrate the validity of the method. The method can be applied to the structural reliability analysis with implicit performance function.
Structural reliability analysis finite element method BP neural network first-order reliability method
WEI DUAN LI-XIN CHEN ZHANG-QI WANG
School of Mechanical Engineering, North China Electric Power University, Baoding, 071003,China
国际会议
2006 International Conference on Machine Learning and Cybernetics(IEEE第五届机器学习与控制论坛)
大连
英文
3063-3068
2006-08-13（万方平台首次上网日期，不代表论文的发表时间）