Computational & Technology Resources
an online resource for computational,
engineering & technology publications
Civil-Comp Proceedings
ISSN 1759-3433
CCP: 34
DEVELOPMENTS IN NEURAL NETWORKS AND EVOLUTIONARY COMPUTING FOR CIVIL AND STRUCTURAL ENGINEERING
Edited by: B.H.V. Topping
Paper II.2

Artificial Neural Network Computing in Structural Engineering

P. Zeng

Institute B of Mechanics, University of Stuttgart, Stuttgart, Germany

Full Bibliographic Reference for this paper
P. Zeng, "Artificial Neural Network Computing in Structural Engineering", in B.H.V. Topping, (Editor), "Developments in Neural Networks and Evolutionary Computing for Civil and Structural Engineering", Civil-Comp Press, Edinburgh, UK, pp 37-50, 1995. doi:10.4203/ccp.34.2.2
Abstract
The paper studies artificial neural network (ANN) computing for structural analysis, which covers neurons element for structural analysis, networks for structural analysis, mathematical principle, implementation procedure, simulating method on the present digital computer. Research shows that ANN computing inherently has many attractive features such as massively parallel distributed processing, continuous dynamics and collective computational capabilities, which will be especially appropriate to structural analysis. The results of numerical simulations on 4-bar truss, 7-bar truss, 15-bar truss, beam structure, as well as planar continuous structure are presented to confirm ANN computing. The results also show the convergence speed of ANN computing does not closely depend on the computational scales of the original problems, which can arrive at the order of magnitude of 1*10-9 seconds.

purchase the full-text of this paper (price £20)

go to the previous paper
go to the next paper
return to the table of contents
return to the book description
purchase this book (price £55 +P&P)