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Uncertainty Quantification in High Performance Computational Fluid Dynamics

In: High Performance Computing in Science and Engineering '19

Author

Listed:
  • Andrea Beck

    (University of Magdeburg“Otto von Guericke”, Laboratory of Fluid Dynamics and Technical Flows)

  • Jakob Dürrwächter

    (Universität Stuttgart, Institute of Aerodynamics and Gasdynamics)

  • Thomas Kuhn

    (Universität Stuttgart, Institute of Aerodynamics and Gasdynamics)

  • Fabian Meyer

    (Universität Stuttgart, Institute of Applied Analysis and Numerical Simulation)

  • Claus-Dieter Munz

    (Universität Stuttgart, Institute of Aerodynamics and Gasdynamics)

  • Christian Rohde

    (Universität Stuttgart, Institute of Applied Analysis and Numerical Simulation)

Abstract

In this report we present advances in our research on direct aeroacoustics and uncertainty quantification, based on the high-order Discontinuous Galerkin solver FLEXI. Oscillation phenomena triggered by flow over cavities can lead to an unpleasant tonal (whistling) noise, which provides motivation for industry and academia to better understand the underlying mechanisms. We present a numerical setup capable of capturing these phenomena with high efficiency, as we show by comparison to experimental data and results from industry. Some of these phenomena are highly sensitive towards flow conditions, which makes an integrated approach regarding these conditions necessary. This is the goal of uncertainty quantification. We present software for both intrusive and non-intrusive uncertainty quantification methods. We investigate convergence and computational performance. The development of both codes was in parts carried out in cooperation with HLRS. Apart from validation results, we show a non-intrusive simulation of 3D turbulent cavity noise.

Suggested Citation

  • Andrea Beck & Jakob Dürrwächter & Thomas Kuhn & Fabian Meyer & Claus-Dieter Munz & Christian Rohde, 2021. "Uncertainty Quantification in High Performance Computational Fluid Dynamics," Springer Books, in: Wolfgang E. Nagel & Dietmar H. Kröner & Michael M. Resch (ed.), High Performance Computing in Science and Engineering '19, pages 355-371, Springer.
    • Handle: RePEc:spr:sprchp:978-3-030-66792-4_24
    DOI: 10.1007/978-3-030-66792-4_24
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