IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-319-02165-2_21.html
   My bibliography  Save this book chapter

Industrial Turbulence Simulations at Large Scale

In: High Performance Computing in Science and Engineering ‘13

Author

Listed:
  • Daniel F. Harlacher

    (Universität Siegen, Simulationstechnik und Wissenschaftliches Rechnen)

  • Sabine Roller

    (Universität Siegen, Simulationstechnik und Wissenschaftliches Rechnen)

  • Florian Hindenlang

    (Universität Stuttgart, Institut für Aerodynamik und Gasdynamik)

  • Claus-Dieter Munz

    (Universität Stuttgart, Institut für Aerodynamik und Gasdynamik)

  • Tim Kraus

    (Robert Bosch GmbH)

  • Martin Fischer

    (Robert Bosch GmbH)

  • Koen Geurts

    (RWTH Aachen University, Chair of Fluid Mechanics and Institute of Aerodynamics)

  • Matthias Meinke

    (RWTH Aachen University, Chair of Fluid Mechanics and Institute of Aerodynamics)

  • Tobias Klühspies

    (Trumpf Werkzeugmaschinen GmbH + Co. KG)

  • Yevgeniya Kovalenko

    (Höchstleistungsrechenzentrum Stuttgart (HLRS))

  • Uwe Küster

    (Höchstleistungsrechenzentrum Stuttgart (HLRS))

Abstract

The most important aspect for simulations in industrial design processes is the time to solution. To obtain highly detailed results nevertheless, massive computational resources have to be deployed. Feasibility and applicability of HPC systems to this purpose is the main focus of this paper. Two different numerical approaches, implemented with parallelism in mind, are investigated with respect to quality as well as turn around times on large super computing systems. The one approach compares the efficiency of high order schemes on coarser meshes to lower order schemes on finer meshes. The second approach employs a zonal coupling of LES and RANS to limit the computational effort by using solution adapted models. Three industrial use-cases evaluate the performance and quality of these approaches. General optimizations are presented as well as solutions for load-balancing.

Suggested Citation

  • Daniel F. Harlacher & Sabine Roller & Florian Hindenlang & Claus-Dieter Munz & Tim Kraus & Martin Fischer & Koen Geurts & Matthias Meinke & Tobias Klühspies & Yevgeniya Kovalenko & Uwe Küster, 2013. "Industrial Turbulence Simulations at Large Scale," Springer Books, in: Wolfgang E. Nagel & Dietmar H. Kröner & Michael M. Resch (ed.), High Performance Computing in Science and Engineering ‘13, edition 127, pages 295-319, Springer.
    • Handle: RePEc:spr:sprchp:978-3-319-02165-2_21
    DOI: 10.1007/978-3-319-02165-2_21
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:sprchp:978-3-319-02165-2_21. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.