Model Updating of A Steel Truss Based on Artificial Neural Networks

摘要：

　　Based on the artificial neural network,the parameters of a steel truss are identified.And the finite element model of truss is corrected.In order to improve the efficiency of model updating by artificial neural networks,the momentum is introduced into the back propagation algorithm.Based on the theory of probability and mathematical statistics,the expectation confidence interval of the measured deflections and strains is obtained.In this way,the samples to train the neural network are optimized.The nmnerical results show that the back propagation neural network proposed on this paper is able to correct the finite element model of the truss effectively.

关键词： model updating neural network back propagation sample truss

作者: Shilei Zhang Shaofeng Chen Huanding Wang Wei Wang

作者单位: School of Civil Engineering ,Harbin Institute of Technology, Harbin, China 150090 School of Transportation Science and Engineering ,Harbin Institute of Technology, Harbin, China15009

会议类型: 国际会议

会议名称: the Second International Conference on Frontiers of Manufacturing and Design Science(第二届制造与设计科学国际会议(ICFMD 2011))

会议地点: 台湾

会议语种:英文

页码: 1363-1366

在线出版日期: 2011-12-11（万方平台首次上网日期，不代表论文的发表时间）