A novel p-harmonic descent approach applied to fluid dynamic shape optimization

  • We introduce a novel method for the implementation of shape optimization for non-parameterized shapes in fluid dynamics applications, where we propose to use the shape derivative to determine deformation fields with the help of the p− Laplacian for p > 2 . This approach is closely related to the computation of steepest descent directions of the shape functional in the W1,∞ − topology and refers to the recent publication Deckelnick et al. (A novel W1,∞ approach to shape optimisation with Lipschitz domains, 2021), where this idea is proposed. Our approach is demonstrated for shape optimization related to drag-minimal free floating bodies. The method is validated against existing approaches with respect to convergence of the optimization algorithm, the obtained shape, and regarding the quality of the computational grid after largeWe introduce a novel method for the implementation of shape optimization for non-parameterized shapes in fluid dynamics applications, where we propose to use the shape derivative to determine deformation fields with the help of the p− Laplacian for p > 2 . This approach is closely related to the computation of steepest descent directions of the shape functional in the W1,∞ − topology and refers to the recent publication Deckelnick et al. (A novel W1,∞ approach to shape optimisation with Lipschitz domains, 2021), where this idea is proposed. Our approach is demonstrated for shape optimization related to drag-minimal free floating bodies. The method is validated against existing approaches with respect to convergence of the optimization algorithm, the obtained shape, and regarding the quality of the computational grid after large deformations. Our numerical results strongly indicate that shape optimization related to the W1,∞-topology—though numerically more demanding—seems to be superior over the classical approaches invoking Hilbert space methods, concerning the convergence, the obtained shapes and the mesh quality after large deformations, in particular when the optimal shape features sharp corners.show moreshow less

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Metadaten
Author:Peter Marvin Müller, Niklas Kühl, Martin Siebenborn, Klaus Deckelnick, Michael Hinze, Thomas Rung
URN:urn:nbn:de:hbz:kob7-26956
DOI:https://doi.org/10.1007/s00158-021-03030-x
ISSN:1615-147X
Parent Title (English):Structural and Multidisciplinary Optimization
Publisher:Springer Nature
Document Type:Article
Language:English
Date of Publication (online):2021/08/26
Date of first Publication:2021/08/26
Publishing Institution:Universität Koblenz, Universitätsbibliothek
Release Date:2026/07/21
Volume:64
Page Number:15
First Page:3489
Last Page:3503
Licence (German): CC BY - Namensnennung 4.0 International
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