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dc.contributor.authorFernandez del Campo, Pablo
dc.contributor.authorNguyen, Ngoc Cuong
dc.contributor.authorPeraire, Jaime
dc.date.accessioned2018-04-13T15:27:56Z
dc.date.available2018-04-13T15:27:56Z
dc.date.issued2017-06
dc.identifier.isbn978-1-62410-506-7
dc.identifier.urihttp://hdl.handle.net/1721.1/114702
dc.description.abstractOver 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.en_US
dc.description.sponsorshipUnited States. Air Force. Office of Scientific Research (FA9550-16-1-0214)en_US
dc.language.isoen_US
dc.publisherAmerican Institute of Aeronautics and Astronauticsen_US
dc.relation.isversionofhttps://doi.org/10.2514/6.2017-3951en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourcePablo Fernandezen_US
dc.titleSubgrid-scale modeling and implicit numerical dissipation in DG-based Large-Eddy Simulationen_US
dc.typeArticleen_US
dc.identifier.citationFernandez, 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.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Aeronautics and Astronauticsen_US
dc.contributor.approverPablo Fernandezen_US
dc.contributor.mitauthorFernandez del Campo, Pablo
dc.contributor.mitauthorNguyen, Ngoc Cuong
dc.contributor.mitauthorPeraire, Jaime
dc.relation.journal23rd AIAA Computational Fluid Dynamics Conferenceen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dspace.orderedauthorsFernandez, Pablo; Nguyen, Ngoc-Cuong; Peraire, Jaimeen_US
dspace.embargo.termsNen_US
dc.identifier.orcidhttps://orcid.org/0000-0002-6291-4946
dc.identifier.orcidhttps://orcid.org/0000-0002-8556-685X
mit.licenseOPEN_ACCESS_POLICYen_US


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