Uncertainty Quantification in High Performance Computational Fluid Dynamics

Andrea Beck (), Jakob Dürrwächter (), Thomas Kuhn (), Fabian Meyer (), Claus-Dieter Munz () and Christian Rohde ()
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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

A chapter in High Performance Computing in Science and Engineering '19, 2021, pp 355-371 from Springer

Abstract: 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.

Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-66792-4_24

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DOI: 10.1007/978-3-030-66792-4_24

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