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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 
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: In Copyright In Copyright
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