Design optimization for structural fatigue reliability based on artificial neural network

被引：0
|
作者：
Meng, Guang-Wei [1 ,2 ]
Sha, Li-Rong [2 ]
Li, Feng [2 ]
Li, Guang-Bo [2 ]
机构：
[1] State Key Laboratory of Automobile Dynamic Simulation, Jilin University, Jilin Changchun 130022, China
[2] College of Mechanical Science and Engineering, Jilin University, Jilin Changchun 130022, China
来源：
Binggong Xuebao/Acta Armamentarii | 2010年 / 31卷 / 06期
关键词：
Structural analysis - Structural optimization - Numerical methods - Fatigue of materials - Radial basis function networks;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
The applications of artificial neural network (ANN) method in the analysis of fatigue reliability and design optimization for structure were studied. As the relationship between the structural fatigue life and its influence factors is highly complex and nonlinear, it is difficult to calculate the fatigue reliability with the traditional methods. The ANN response method was adopted to simulate the limit state function of the structure and its derivatives to calculate its reliability. The ANN was also used to design the structure optimally based on the reliability analysis results. A numerical example shows that the method is feasible and applicable.
引用
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页码：765 / 769
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