Safety Assessment of Complex Structure Based on Artificial Neural Networks

被引：0
|
作者：
Yin Xiaowei [1 ]
Qian Wenxue [1 ]
机构：
[1] Northeastern Univ, Sch Mech Engn & Automat, Shenyang 110004, Peoples R China
来源：
ICMS2009: PROCEEDINGS OF THE SECOND INTERNATIONAL CONFERENCE ON MODELLING AND SIMULATION, VOL 5 | 2009年
关键词：
artificial neural network; complex structure; safety analysis; load effect;
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
Many engineering structures are undergone multiple independent random load applications and the safety analysis of them is difficult. In this paper, a new method is introduced to analyze the safety of complex structure with multiple random load applications. First several load effect results are got through Finite Element Analysis(FEA), then the artificial neural networks(ANN) model of the structure is built. The results which have been got will be the train set and test set of the ANN. Then we can analyze the structure safety through the ANN. An example shows that the above method overcomes the disadvantage of long time computing of FEA and simplifies the safety analysis of complex structure with multiple load applications.
引用
收藏
页码：328 / 332
页数：5
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