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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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article
Average-based mesh adaptation for hybrid RANS/LES simulation of complex flows
Abstract
International audience ; Generating meshes with the right resolution is crucial for hybrid RANS/LES simulations of high Reynolds number flow with complex physical phenomena and geometries. This makes automatic mesh generation through adaptive refinement an interesting option. However, since the behavior of these turbulence models depends on the local grid size, mesh changes in time as a result of adaptive refinement may affect the production and destruction of turbulence. Therefore, grid adaptation with refinement criteria based on time-averaged quantities is proposed here to produce meshes that do not evolve rapidly in time and that are suitable for capturing the unsteady flow at each instant. Two averaging approaches, averaging over the instantaneous flow field, and averaging over the refinement criterion, are tested to simulate a turbulent flow behind a backward-facing step with a Detached Eddy Simulation type turbulence model. Compared to grid adaption based on instantaneous solutions, the computational cost is reduced, the accuracy of the solutions improves and an adapted mesh which has a generally static topology based on the main flow features is obtained. The investigation of this refinement process for two realistic test cases, a ship and a hybrid delta wing, confirms the reliability of the average-based adaptation and shows that automatic meshing for hybrid RANS/LES simulations of complex flows is possible.
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