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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 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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