TY  - JOUR
U1  - Wissenschaftlicher Artikel
A1  - Müller, Peter Marvin
A1  - Kühl, Niklas
A1  - Siebenborn, Martin
A1  - Deckelnick, Klaus
A1  - Hinze, Michael
A1  - Rung, Thomas
T1  - A novel p-harmonic descent approach applied to fluid dynamic shape optimization
JF  - Structural and Multidisciplinary Optimization
N2  - 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 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.
AB  - 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 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.
Y1  - 2021
SN  - 1615-147X
SS  - 1615-147X
UN  - https://nbn-resolving.org/urn:nbn:de:hbz:kob7-26956
U6  - https://doi.org/10.1007/s00158-021-03030-x
DO  - https://doi.org/10.1007/s00158-021-03030-x
VL  - 64
SP  - 3489
EP  - 3503
S1  - 15
PB  - Springer Nature
ER  -