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High Fidelity Scale-Resolving Computational Fluid Dynamics Using the High Order Discontinuous Galerkin Spectral Element Method

In: High Performance Computing in Science and Engineering ’15

Author

Listed:
  • Muhammed Atak

    (Universität Stuttgart, Institute of Aerodynamics and Gas Dynamics)

  • Andrea Beck

    (Universität Stuttgart, Institute of Aerodynamics and Gas Dynamics)

  • Thomas Bolemann

    (Universität Stuttgart, Institute of Aerodynamics and Gas Dynamics)

  • David Flad

    (Universität Stuttgart, Institute of Aerodynamics and Gas Dynamics)

  • Hannes Frank

    (Universität Stuttgart, Institute of Aerodynamics and Gas Dynamics)

  • Claus-Dieter Munz

    (Universität Stuttgart, Institute of Aerodynamics and Gas Dynamics)

Abstract

In this report we give an overview of our high-order simulations of turbulent flows carried out on the HLRS systems. The simulation framework is built around a highly scalable solver based on the discontinuous Galerkin spectral element method (DGSEM). It has been designed to support large scale simulations on massively parallel architectures and at the same time enabling the use of complex geometries with unstructured, nonconforming meshes. We are thus capable of fully exploiting the performance of HLRS Cray XE6 (Hermit) and XC40 (Hornet) systems not just for academic benchmark problems but also industrial applications. We exemplify the capabilities of our framework at three recent simulations, where we have performed direct numerical and large eddy simulations of turbulent compressible flows. The test cases include a high-speed turbulent boundary layer flow utilizing close to 94,000 physical cores, a DNS of a NACA 0012 airfoil at Re = 100, 000 and direct aeroacoustic simulations of a close-to-production car mirror at Re c = 100, 000.

Suggested Citation

  • Muhammed Atak & Andrea Beck & Thomas Bolemann & David Flad & Hannes Frank & Claus-Dieter Munz, 2016. "High Fidelity Scale-Resolving Computational Fluid Dynamics Using the High Order Discontinuous Galerkin Spectral Element Method," Springer Books, in: Wolfgang E. Nagel & Dietmar H. Kröner & Michael M. Resch (ed.), High Performance Computing in Science and Engineering ’15, edition 1, pages 511-530, Springer.
    • Handle: RePEc:spr:sprchp:978-3-319-24633-8_33
    DOI: 10.1007/978-3-319-24633-8_33
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