Paper Title:
Model Updating of a Steel Truss Based on Artificial Neural Networks
  Abstract

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 numerical results show that the back propagation neural network proposed on this paper is able to correct the finite element model of the truss effectively.

  Info
Periodical
Chapter
Chapter 3: Advanced Manufacturing Technology (1)
Edited by
Dongye Sun, Wen-Pei Sung and Ran Chen
Pages
1363-1366
DOI
10.4028/www.scientific.net/AMM.121-126.1363
Citation
S. L. Zhang, S. F. Chen, H. D. Wang, W. Wang, "Model Updating of a Steel Truss Based on Artificial Neural Networks", Applied Mechanics and Materials, Vols. 121-126, pp. 1363-1366, 2012
Online since
October 2011
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$32.00
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