Toward a Discontinuous Galerkin Fluid Dynamics Framework for Industrial Applications

Sebastian Boblest (), Fabian Hempert (), Malte Hoffmann (), Philipp Offenhäuser (), Matthias Sonntag (), Filip Sadlo (), Colin W. Glass (), Claus-Dieter Munz (), Thomas Ertl () and Uwe Iben ()
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Sebastian Boblest: University of Stuttgart, Visualization Research Center
Fabian Hempert: Robert Bosch GmbH
Malte Hoffmann: University of Stuttgart, Institute for Aerodynamics and Gas dynamics
Philipp Offenhäuser: University of Stuttgart, High Performance Computing Center
Matthias Sonntag: University of Stuttgart, Institute for Aerodynamics and Gas dynamics
Filip Sadlo: Heidelberg University, Interdisciplinary Center for Scientific Computing
Colin W. Glass: University of Stuttgart, High Performance Computing Center
Claus-Dieter Munz: University of Stuttgart, Institute for Aerodynamics and Gas dynamics
Thomas Ertl: University of Stuttgart, Visualization Research Center
Uwe Iben: Robert Bosch GmbH

A chapter in High Performance Computing in Science and Engineering ’15, 2016, pp 531-545 from Springer

Abstract: Abstract For many years, discontinuous Galerkin (DG) methods have been proving their value as highly efficient, very well scalable high-order methods for computational fluid dynamics (CFD) calculations. However, they have so far mainly been applied in the academic environment and the step toward an application in industry is still waited for. In this article, we report on our project that aims at creating a comprehensive CFD software that makes highly resolved unsteady industrial DG calculations an option. First, our focus lies on the adaptation of the solver itself to industrial problems and the optimization of the parallelization efficiency. Second, we present a visualization tool specifically tailored to the properties of DG data that will be combined with the solver to obtain an in-situ visualization strategy within our project in the near future.

Keywords: Computational Fluid Dynamic; Sound Pressure Level; Discontinuous Galerkin; Spectral Element Method; Noise Emission (search for similar items in EconPapers)
Date: 2016
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DOI: 10.1007/978-3-319-24633-8_34

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