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Solution of interface problems with nonmonotone contact and friction laws using a neural network optimization environment
dc.creator | Mistakidis, E. S. | en |
dc.date.accessioned | 2015-11-23T10:39:44Z | |
dc.date.available | 2015-11-23T10:39:44Z | |
dc.date.issued | 2004 | |
dc.identifier | 10.1016/j.advengsoft.2004.03.013 | |
dc.identifier.issn | 0965-9978 | |
dc.identifier.uri | http://hdl.handle.net/11615/31068 | |
dc.description.abstract | The paper addresses the solution of interface problems which present a degrading behaviour leading to nonmonotone contact and friction laws. The paper is based on a superpotential formulation that leads to hemivariational inequalities, or, equivalently to nonconvex-nonsmooth optimization problems. The above problems are addressed with a heuristic method which effectively replaces the nonconvex-nonsmooth optimization problem by a sequence of quadratic programming problems with inequality constraints. Then, the quadratic optimization problems are transformed into a system of differential equations, which are treated numerically with an appropriate neural network. Finally, a numerical example illustrates the properties of the proposed algorithmic scheme. (C) 2004 Civil-Comp Ltd and Elsevier Ltd. All rights reserved. | en |
dc.source | Advances in Engineering Software | en |
dc.source.uri | <Go to ISI>://WOS:000225015600008 | |
dc.subject | neural networks | en |
dc.subject | nonconvex optimization | en |
dc.subject | contact | en |
dc.subject | adhesive contact | en |
dc.subject | friction | en |
dc.subject | MONOTONE SUBPROBLEMS | en |
dc.subject | APPROXIMATION | en |
dc.subject | Computer Science, Interdisciplinary Applications | en |
dc.subject | Computer Science, | en |
dc.subject | Software Engineering | en |
dc.subject | Engineering, Multidisciplinary | en |
dc.title | Solution of interface problems with nonmonotone contact and friction laws using a neural network optimization environment | en |
dc.type | journalArticle | en |
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