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    Simulation of Turbulent Flows Using a Fully Discrete Explicit hp-nonconforming Entropy Stable Solver of Any Order on Unstructured Grids

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    Type
    Conference Paper
    Authors
    Parsani, Matteo cc
    Boukharfane, Radouan cc
    Reyna Nolasco, Irving E.
    Dalcin, Lisandro
    Keyes, David E. cc
    KAUST Department
    Applied Mathematics and Computational Science Program
    Extreme Computing Research Center
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    King Abdullah University of Science and Technology
    Office of the President
    Date
    2021-01-04
    Permanent link to this record
    http://hdl.handle.net/10754/667508
    
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    Abstract
    We report the numerical solution of two challenging turbulent flow test cases simulated with the SSDC framework, a compressible, fully discrete hp-nonconforming entropy stable solver based on the summation-by-parts discontinuous collocation Galerkin discretizations and the relaxation Runge—Kutta methods. The algorithms at the core of the solver are systematically designed with mimetic and structure-preserving techniques that transfer fundamental properties from the continuous level to the discrete one. We aim at providing numerical evidence of the robustness and maturity of these entropy stable scale-resolving methods for the new generation of adaptive unstructured computational fluid dynamics tools. The two selected turbulent flows are i) the flow past two spheres in tandem at a Reynolds number based on the sphere diameter of ReD = 3.9 × 103 and 104, and a Mach number of Ma∞ = 0.1, and ii) the NASA junction flow experiment at a Reynolds number based on the crank chord length of Reℓ = 2.4×106 and Ma∞ = 0.189.
    Citation
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    Sponsors
    The research reported in this paper was funded by King Abdullah University of Science and Technology. We are thankful for the computing resources of the Supercomputing Laboratory and the Extreme Computing Research Center at King Abdullah University of Science and Technology.
    Publisher
    American Institute of Aeronautics and Astronautics
    Conference/Event name
    AIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2021
    ISBN
    9781624106095
    DOI
    10.2514/6.2021-0495
    Additional Links
    https://arc.aiaa.org/doi/10.2514/6.2021-0495
    ae974a485f413a2113503eed53cd6c53
    10.2514/6.2021-0495
    Scopus Count
    Collections
    Conference Papers; Applied Mathematics and Computational Science Program; Extreme Computing Research Center; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

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