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Erschienen in: Structural and Multidisciplinary Optimization 1/2018

07.07.2017 | RESEARCH PAPER

Shape optimization with the level-set-method using local volume constraints

verfasst von: Simon H. Hesse, Lukas F. Leidinger, Johannes Kremheller, Dirk Lukaszewicz, Fabian Duddeck

Erschienen in: Structural and Multidisciplinary Optimization | Ausgabe 1/2018

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Abstract

This paper presents a method to locally constrain multiple material volume domains for structural optimization with the Level Set Method (LSM). Two different Lagrangian formulations and multiplier update methods are used, for both the global and local problem. The local volume domains can be constrained by both equality and inequality constraints. The optimization objective is compliance minimization for well-posed statically loaded structures. For validation, several example problems are established and solved using the proposed method. Results show that the volume ratios for user established sub-domains can be controlled successfully. The local constraint values are met accurately in the case of equality constraints and remain in their feasible domain in the case of inequality constraints. Optimization results are not significantly hindered by the introduction of local volume constraints for comparable problems.

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Metadaten
Titel
Shape optimization with the level-set-method using local volume constraints
verfasst von
Simon H. Hesse
Lukas F. Leidinger
Johannes Kremheller
Dirk Lukaszewicz
Fabian Duddeck
Publikationsdatum
07.07.2017
Verlag
Springer Berlin Heidelberg
Erschienen in
Structural and Multidisciplinary Optimization / Ausgabe 1/2018
Print ISSN: 1615-147X
Elektronische ISSN: 1615-1488
DOI
https://doi.org/10.1007/s00158-017-1741-1

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