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Computational Science, Engineering & Technology Series
ISSN 1759-3158
Edited by: B.H.V. Topping
Chapter 23

Neural Networks in Structural Engineering: Some Recent Results and Prospects for Applications

Z. Waszczyszyn

Institute of Computer Methods in Civil Engineering, Cracow University of Technology, Cracow, Poland

Full Bibliographic Reference for this chapter
Z. Waszczyszyn, "Neural Networks in Structural Engineering: Some Recent Results and Prospects for Applications", in B.H.V. Topping, (Editor), "Computational Mechanics for the Twenty-First Century", Saxe-Coburg Publications, Stirlingshire, UK, Chapter 23, pp 479-515, 2000. doi:10.4203/csets.3.23
Basics of four types of Artificial Neural Networks (ANNs) related to Error Back-Propagation, Radial Basis Functions, Adaptive Fuzzy Inference System and Recurrent NN (Hopfield-Tank NN) are presented in short. Then applications of these networks in the analysis of the following problems are discussed: 1) analysis of implicit constitutive relations, 2) hybrid FEM/ANN programs, 3) real building vibration problems, 4) damage identification problems. Special attention is paid to accuracy of neural approximation, input data preprocessing and improvements in ANN structure. In the end some conclusions and prospects of neurocomputing in structural engineering are pointed out.

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