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  4. Adjoint node-based shape optimization of free-floating vessels
 
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Adjoint node-based shape optimization of free-floating vessels

Citation Link: https://doi.org/10.15480/882.4584
Publikationstyp
Journal Article
Date Issued
2022-08
Sprache
English
Author(s)
Kühl, Niklas  orcid-logo
Nguyen, Thanh Tung  
Palm, Michael  
Jürgens, Dirk  
Rung, Thomas  orcid-logo
Institut
Fluiddynamik und Schiffstheorie M-8  
TORE-DOI
10.15480/882.4584
TORE-URI
http://hdl.handle.net/11420/13572
Journal
Structural and multidisciplinary optimization  
Volume
65
Issue
9
Article Number
247
Citation
Structural and Multidisciplinary Optimization 65 (9): 247 (2022-09)
Publisher DOI
10.1007/s00158-022-03338-2
Scopus ID
2-s2.0-85137061667
Publisher
Springer
The paper is concerned with a node-based, gradient-driven, continuous adjoint two-phase flow procedure to optimize the shapes of free-floating vessels and discusses three topics. First, we aim to convey that elements of a Cahn–Hilliard formulation should augment the frequently employed Volume-of-Fluid two-phase flow model to maintain dual consistency. It is seen that such consistency serves as the basis for a robust primal/adjoint coupling in practical applications at huge Reynolds and Froude numbers. The second topic covers different adjoint coupling strategies. A central aspect of the application is the floating position, particularly the trim and the sinkage, that interact with a variation of hydrodynamic loads induced by the shape updates. Other topics addressed refer to the required level of density coupling and a more straightforward—yet non-frozen—adjoint treatment of turbulence. The third part discusses the computation of a descent direction within a node-based environment. We will illustrate means to deform both the volume mesh and the hull shape simultaneously and at the same time obey technical constraints on the vessel’s displacement and its extensions. The Hilbert-space approach provides smooth shape updates using the established coding infrastructure of a computational fluid dynamics algorithm and provides access to managing additional technical constraints. Verification and validation follow from a submerged 2D cylinder case. The application includes a full-scale offshore supply vessel at Re = 3 × 10 8 and Fn = 0.37. Results illustrate that the fully parallel procedure can automatically reduce the drag of an already pre-optimized shape by 9–13% within ≈O(10,000-30,000) CPUh depending on the considered couplings and floatation aspects.
Subjects
Continuous adjoint two-phase flow
Dual consistency
Floating vessel
Hull optimization
Node-based shape optimization
DDC Class
600: Technik
Funding(s)
Weiterentwicklung von praxistauglichen simulationsbasierten Methoden zur Verbesserung der Leistungsfähigkeit von Schiffen mittels Formoptimierung  
Hydrodynamische Widerstandsoptimierung von Schiffsrümpfen  
Simulationsbasierte Entwurfsoptimierung dynamischer Systeme unter Unsicherheiten  
Projekt DEAL  
Publication version
publishedVersion
Lizenz
https://creativecommons.org/licenses/by/4.0/
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