On a constraint-based regularization technique for configurational r-adaptivity and 3D shape optimization

Scherer, M., Denzer, R. and Steinmann, P. (2009) On a constraint-based regularization technique for configurational r-adaptivity and 3D shape optimization. In: Steinmann, P. (ed.) IUTAM Symposium on Progress in the Theory and Numerics of Configurational Mechanics. Series: IUTAM bookseries (17). Springer: Dordrecht, pp. 11-25. ISBN 9789048134465 (doi: 10.1007/978-90-481-3447-2_2)

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Abstract

This contribution deals with a numerical regularization technique for con-figurational r-adaptivity and shape optimization based on a fictitious energy con-straint. The notion configurational refers to the fact that both r-adaptivity and shape optimization rely on an optimization of the potential energy with respect to changes of the (discrete) reference configuration. In the case of r-adaptivity, the minimization of the total potential energy optimizes the mesh and thus improves the accuracy of the finite element solution, whereas the maximization of the total potential energy by varying the initial shape increases the stiffness of the structure. In the context of r-adaptivity, the energy constraint sets the distortion of the mesh to a reasonable limit and improves the solvability of the problem. The application of the energy constraint to a node-based shape optimization is a remedy for well-known problems of node-based shape optimization methods with maintaining a smooth and regular boundary.

Item Type:Book Sections
Additional Information:Online ISBN: 9789048134472.
Status:Published
Glasgow Author(s) Enlighten ID:Steinmann, Professor Paul
Authors: Scherer, M., Denzer, R., and Steinmann, P.
College/School:College of Science and Engineering > School of Engineering > Infrastructure and Environment
Journal Name:IUTAM Bookseries
Publisher:Springer
ISBN:9789048134465
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