Subgrid-scale modeling and implicit numerical dissipation in DG-based Large-Eddy Simulation

Over the past few years, high-order discontinuous Galerkin (DG) methods for Large-Eddy Simulation (LES) have emerged as a promising approach to solve complex turbulent flows. However, despite the significant research investment, the relation between the discretization scheme, the subgrid-scale (SGS)...

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Bibliographic Details
Main Authors: Fernandez del Campo, Pablo (Contributor), Nguyen, Ngoc Cuong (Contributor), Peraire, Jaime (Contributor)
Other Authors: Massachusetts Institute of Technology. Department of Aeronautics and Astronautics (Contributor), Pablo Fernandez (Contributor)
Format: Article
Language:English
Published: American Institute of Aeronautics and Astronautics, 2018-04-13T15:27:56Z.
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Online Access:Get fulltext
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042 |a dc 
100 1 0 |a Fernandez del Campo, Pablo  |e author 
100 1 0 |a Massachusetts Institute of Technology. Department of Aeronautics and Astronautics  |e contributor 
100 1 0 |a Pablo Fernandez  |e contributor 
100 1 0 |a Fernandez del Campo, Pablo  |e contributor 
100 1 0 |a Nguyen, Ngoc Cuong  |e contributor 
100 1 0 |a Peraire, Jaime  |e contributor 
700 1 0 |a Nguyen, Ngoc Cuong  |e author 
700 1 0 |a Peraire, Jaime  |e author 
245 0 0 |a Subgrid-scale modeling and implicit numerical dissipation in DG-based Large-Eddy Simulation 
260 |b American Institute of Aeronautics and Astronautics,   |c 2018-04-13T15:27:56Z. 
856 |z Get fulltext  |u http://hdl.handle.net/1721.1/114702 
520 |a Over the past few years, high-order discontinuous Galerkin (DG) methods for Large-Eddy Simulation (LES) have emerged as a promising approach to solve complex turbulent flows. However, despite the significant research investment, the relation between the discretization scheme, the subgrid-scale (SGS) model and the resulting LES solver remains unclear. This paper aims to shed some light on this matter. To that end, we investigate the role of the Riemann solver, the SGS model, the time resolution, and the accuracy order in the ability to predict a variety of flow regimes, including transition to turbulence, wall-free turbulence, wall-bounded turbulence, and turbulence decay. The transitional flow over the Eppler 387 wing, the TaylorGreen vortex problem and the turbulent channel flow are considered to this end. The focus is placed on post-processing the LES results and providing with a rationale for the performance of the various approaches. 
520 |a United States. Air Force. Office of Scientific Research (FA9550-16-1-0214) 
546 |a en_US 
655 7 |a Article 
773 |t 23rd AIAA Computational Fluid Dynamics Conference