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Application and Development of the High Order Discontinuous Galerkin Spectral Element Method for Compressible Multiscale Flows

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High Performance Computing in Science and Engineering ' 18

Abstract

This paper summarizes our progress in the application and feature development of a high-order discontinuous Galerkin (DG) method for scale resolving fluid dynamics simulations on the Cray XC40 Hazel Hen cluster at HLRS. We present the extension to Chimera grid techniques which allow efficient computations on flexible meshes, and discuss data-based development of subgrid closure terms through machine learning algorithms. We also show the first results of the simulation of a challenging, high Reynolds number supersonic dual nozzle flow.

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Notes

  1. 1.

    www.flexi-project.org.

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Acknowledgements

The research presented in this paper was supported in parts by the Deutsche Forschungsgemeinschaft (DFG), the Boysen Stiftung and the Simtech Cluster of Excellence PN5-21. We truly appreciate the ongoing kind support by HLRS and Cray in Stuttgart.

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Authors and Affiliations

  1. Institute of Aerodynamics and Gasdynamics, University of Stuttgart, Pfaffenwaldring 21, 70569, Stuttgart, Germany

    Andrea Beck, Thomas Bolemann, David Flad, Nico Krais, Jonas Zeifang & Claus-Dieter Munz

Authors
  1. Andrea Beck
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  2. Thomas Bolemann
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  3. David Flad
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  4. Nico Krais
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  5. Jonas Zeifang
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  6. Claus-Dieter Munz
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Corresponding author

Correspondence to Nico Krais .

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Editors and Affiliations

  1. Zentrum für Informationsdienste und Hochleistungsrechnen (ZIH), Technische Universität Dresden, Dresden, Germany

    Wolfgang E. Nagel

  2. Abteilung für Angewandte Mathematik, Universität Freiburg, Freiburg, Germany

    Dietmar H. Kröner

  3. Höchstleistungsrechenzentrum Stuttgart (HLRS), Universität Stuttgart, Stuttgart, Germany

    Michael M. Resch

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Beck, A., Bolemann, T., Flad, D., Krais, N., Zeifang, J., Munz, CD. (2019). Application and Development of the High Order Discontinuous Galerkin Spectral Element Method for Compressible Multiscale Flows. In: Nagel, W., Kröner, D., Resch, M. (eds) High Performance Computing in Science and Engineering ' 18. Springer, Cham. https://doi.org/10.1007/978-3-030-13325-2_18

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