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Structural Engineering and Mechanics Volume 26, Number 3, June20 2007 , pages 251-262 DOI: https://doi.org/10.12989/sem.2007.26.3.251 |
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Application of artificial neural networks to the response prediction of geometrically nonlinear truss structures |
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Jin Cheng, C. S. Cai and Ru-Cheng Xiao
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| Abstract | ||
| This paper examines the application of artificial neural networks (ANN) to the response prediction of geometrically nonlinear truss structures. Two types of analysis (deterministic and probabilistic analyses) are considered. A three-layer feed-forward backpropagation network with three input nodes, five hidden layer nodes and two output nodes is firstly developed for the deterministic response analysis. Then a back propagation training algorithm with Bayesian regularization is used to train the network. The trained network is then successfully combined with a direct Monte Carlo Simulation (MCS) to perform a probabilistic response analysis of geometrically nonlinear truss structures. Finally, the proposed ANN is applied to predict the response of a geometrically nonlinear truss structure. It is found that the proposed ANN is very efficient and reasonable in predicting the response of geometrically nonlinear truss structures. | ||
| Key Words | ||
| artificial neural networks; geometrically nonlinear analysis; truss structures; uncertainties; response. | ||
| Address | ||
| Jin Cheng; Dept. of Bridge Engineering, Tongji University, Shanghai, 200092, China C. S. Cai; Dept. of Civil and Environmental Engineering, 3418H CEBA, Louisiana State University, Baton Rouge, LA 70803, USA Ru-Cheng Xiao; Dept. of Bridge Engineering, Tongji University, Shanghai, 200092, China | ||