Sangam: A Confluence of Knowledge Streams

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

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dc.contributor Massachusetts Institute of Technology. Department of Aeronautics and Astronautics
dc.contributor Pablo Fernandez
dc.contributor Fernandez del Campo, Pablo
dc.contributor Nguyen, Ngoc Cuong
dc.contributor Peraire, Jaime
dc.creator Fernandez del Campo, Pablo
dc.creator Nguyen, Ngoc Cuong
dc.creator Peraire, Jaime
dc.date 2018-04-13T15:27:56Z
dc.date 2018-04-13T15:27:56Z
dc.date 2017-06
dc.date.accessioned 2023-03-01T18:10:11Z
dc.date.available 2023-03-01T18:10:11Z
dc.identifier 978-1-62410-506-7
dc.identifier http://hdl.handle.net/1721.1/114702
dc.identifier Fernandez, Pablo, et al. "Subgrid-Scale Modeling and Implicit Numerical Dissipation in DG-Based Large-Eddy Simulation." 23rd AIAA Computational Fluid Dynamics Conference, 5-9 June, 2017, Denver, Colorado, American Institute of Aeronautics and Astronautics, 2017.
dc.identifier https://orcid.org/0000-0002-6291-4946
dc.identifier https://orcid.org/0000-0002-8556-685X
dc.identifier.uri http://localhost:8080/xmlui/handle/CUHPOERS/279012
dc.description 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.
dc.description United States. Air Force. Office of Scientific Research (FA9550-16-1-0214)
dc.format application/pdf
dc.language en_US
dc.publisher American Institute of Aeronautics and Astronautics
dc.relation https://doi.org/10.2514/6.2017-3951
dc.relation 23rd AIAA Computational Fluid Dynamics Conference
dc.rights Creative Commons Attribution-Noncommercial-Share Alike
dc.rights http://creativecommons.org/licenses/by-nc-sa/4.0/
dc.source Pablo Fernandez
dc.title Subgrid-scale modeling and implicit numerical dissipation in DG-based Large-Eddy Simulation
dc.type Article
dc.type http://purl.org/eprint/type/ConferencePaper


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