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Civil-Comp Proceedings
ISSN 1759-3433
CCP: 64
COMPUTATIONAL ENGINEERING USING METAPHORS FROM NATURE
Edited by: B.H.V. Topping
Paper I.1

Neural Networks in the Analysis of Elastoplastic Plane Stress Problem with Unilateral Constraints

E. Pabisek and Z. Waszczyszyn

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

Full Bibliographic Reference for this paper
E. Pabisek, Z. Waszczyszyn, "Neural Networks in the Analysis of Elastoplastic Plane Stress Problem with Unilateral Constraints", in B.H.V. Topping, (Editor), "Computational Engineering using Metaphors from Nature", Civil-Comp Press, Edinburgh, UK, pp 1-6, 2000. doi:10.4203/ccp.64.1.1
Abstract
A hybrid system for the analysis of plane stress problem with unilateral constraints is formulated. The main idea lies in interaction of the hybrid FEM/neural program developed in [9] and the Hopfield-Tank Neural Network (HTNN) analog. The analog is formulated as an initial value problem of the FE equation analysis which can take into account the unilateral constraints. The algorithm of the hybrid system. formulated in [l0] for linear elasticity, needs time consuming updating of FE matrices when it is extended to the analysis of elastoplastic problems. A numerical example of a perforated strip with unilateral contact of a rigid bolt and the strip hole is computed.

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