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Published in: Structural and Multidisciplinary Optimization 1/2015

01-01-2015 | RESEARCH PAPER

Multiobjective topology optimization of energy absorbing materials

Authors: Raymond A. Wildman, George A. Gazonas

Published in: Structural and Multidisciplinary Optimization | Issue 1/2015

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Abstract

A method for the multiobjective optimization of local-scale material topology is presented. The topology optimization scheme is based on a constructive solid geometry-like representation, in which convex polygons—defined as the convex hull of arbitrary-length lists of points—are combined using an overlapping function. This data structure is tree-shaped and so genetic programming is used as the optimizer. The forward problem is solved with a multiscale finite element method with automatic cohesive zone insertion to model damage. As a multiscale method, loads and boundary conditions are applied and objective functions measured at a global scale, while the local scale material structure is optimized. The global scale geometry is assumed fixed. Pareto optimal designs are generated, representing optimal tradeoffs between conflicting goals: quasi-static displacement and dynamic strain energy. Results demonstrate the efficacy of the proposed algorithm.

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Metadata
Title
Multiobjective topology optimization of energy absorbing materials
Authors
Raymond A. Wildman
George A. Gazonas
Publication date
01-01-2015
Publisher
Springer Berlin Heidelberg
Published in
Structural and Multidisciplinary Optimization / Issue 1/2015
Print ISSN: 1615-147X
Electronic ISSN: 1615-1488
DOI
https://doi.org/10.1007/s00158-014-1117-8

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