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| Seuring, Stefan |
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| Nor Azizi, S. |
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| Pato, Margarida Vaz |
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| Kölker, Katrin |
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| Huber, Oliver |
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| Király, Tamás |
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| Spengler, Thomas Stefan |
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| Al-Ammar, Essam A. |
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| Dargahi, Fatemeh |
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| Mota, Rui |
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| Mazalan, Nurul Aliah Amirah |
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| Macharis, Cathy | Brussels |
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| Arunasari, Yova Tri |
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| Nunez, Alfredo | Delft |
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| Bouhorma, Mohammed |
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| Bonato, Matteo |
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| Fitriani, Ira |
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| Autor Correspondente Coelho, Sílvia. |
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| Pond, Stephen |
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| Okwara, Ukoha Kalu |
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| Toufigh, Vahid |
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| Campisi, Tiziana | Enna |
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| Ermolieva, Tatiana |
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| Sánchez-Cambronero, Santos |
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| Agzamov, Akhror |
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Visonneau, Michel
in Cooperation with on an Cooperation-Score of 37%
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Publications (16/16 displayed)
- 2022Average-based mesh adaptation for hybrid RANS/LES simulation of complex flowscitations
- 2022Computational Analysis of Subsonic Vortex Interaction on Multi Swept Delta Wing Configurationscitations
- 2021Introduction, Conclusions and Recommendations
- 2021Analysis of the Local Flow around JBCcitations
- 2021EVALUATION OF TURBULENCE MODELLING FOR THE INCOMPRESSIBLE FLOW SIMULATIONS AROUND A MULTI DELTA WING CONFIGURATION
- 2020EVALUATION OF TURBULENCE MODELS FOR THE PREDICTION OF VORTEX INTERACTION OVER A FIGHTER AIRCRAFT
- 2020Multi-Fidelity Machine Learning from Adaptive-and Multi-Grid RANS Simulations
- 2019Assessment of Computational Fluid Dynamic for Surface Combatant 5415 at Straight Ahead and Static Drift β = 20 degcitations
- 2019Validation of CFD simulations of the flow around a full-scale rowing blade with realistic kinematicscitations
- 2019Bank effects for KVLCC2citations
- 2016Local and Global Assessment of the Flow around the Japan Bulk Carrier with and without Energy Saving Devices at Model and Full Scale
- 2016High-Fidelity Computational Analysis of an Energy-Saving Device at Model Scale
- 2009Prediction of resistance coefficients in ship hydrodynamics
- 2008Experimental and numerical investigations of the flow around an oar bladecitations
- 2006H-adaptive Navier–Stokes simulations of free-surface flows around moving bodiescitations
- 2003On the role played by turbulence closures in hull shape optimization at model and full scalecitations
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document
On the role played by turbulence closures in hull shape optimization at model and full scale
Abstract
The practical use of automated computational fluid dynamics (CFD)-based design tools in the ship-building industry requires powerful flow solvers which are able to take into account realistic geometries as well as complex physical phenomena, such as turbulence. A shape optimization tool is developed in this framework. A derivative-free optimizer, yielding both flexibility and robustness, is preferred to the classical gradient-based method, which is more difficult to implement and is still limited to only moderately complex problems. The flow solver included in the design procedure solves the incompressible Reynolds-averaged Navier–Stokes equations on unstructured grids using a finite-volume formulation involving several near-wall low-Reynolds-number turbulence models. The design tool is used to optimize the stern of a modern hull shape at model and full scale, with different purposes being considered. More precisely, the drag reduction and the homogenization of the flow in the wake are expected by controlling the longitudinal vortex generated. Our interest is particularly focused on the influence of turbulence modeling in the design process. The effects of a two-equation model based on the eddy-viscosity assumption and a second-order closure relying on the Reynolds stress transport equations are compared.
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