Please use this identifier to cite or link to this item:
https://doi.org/10.15480/882.4496

arXiv ID: | 2207.08586 | Title: | Application of p-Laplacian relaxed steepest descent to shape optimization in two-phase flows | Language: | English | Authors: | Müller, Peter Marvin ![]() Siebenborn, Martin Rung, Thomas ![]() |
Keywords: | Shape optimization; Fluid dynamics; p-Laplace relaxation; Geometric constraints | Issue Date: | 18-Jul-2022 | Source: | arXiv 2207.08586 (2022-07-18) | Abstract (english): | The paper is concerned with the minimal drag problem in shape optimization of merchant ships exposed to turbulent two-phase flows. Attention is directed to the solution of Reynolds Averaged Navier-Stokes equations using a Finite Volume method. Central aspects are the use of a p-Laplacian relaxed steepest descent direction and the introduction of crucial technical constraints to the optimization procedure, i.e. the center of buoyancy and the displacement of the underwater hull. The example included refers to the frequently investigated Kriso container ship (KCS). |
Conference: | YRM & CSE Workshop on Modeling, Simulation & Optimization of Fluid Dynamic Applications 2022 | URI: | http://hdl.handle.net/11420/13265 | DOI: | 10.15480/882.4496 | Institute: | Fluiddynamik und Schiffstheorie M-8 | Document Type: | Preprint | Project: | Modellierung, Simulation und Optimierung mit fluiddynamischen Anwendungen | Funded by: | Deutsche Forschungsgemeinschaft (DFG) | Peer Reviewed: | No | License: | ![]() |
Appears in Collections: | Publications with fulltext |
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File | Description | Size | Format | |
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Application_of_p-Laplacian_relaxed_steepest_descent_preprint.pdf | arXiv Preprint | 2,55 MB | Adobe PDF | View/Open![]() |
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