IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-319-02165-2_28.html

Lagrangian Simulation of a Fluid with Solid Particle Loading Performed on Supercomputers

In: High Performance Computing in Science and Engineering ‘13

Author

Listed:
  • Florian Beck

    (University of Stuttgart, Institute of Engineering and Computational Mechanics)

  • Florian Fleissner

    (University of Stuttgart, Institute of Engineering and Computational Mechanics)

  • Peter Eberhard

    (University of Stuttgart, Institute of Engineering and Computational Mechanics)

Abstract

The simulation of a fluid with particle loading is a challenging task. In this contribution two Lagrangian simulation methods are coupled to handle the challenges when simulating such scenarios. The Smoothed Particle Hydrodynamics method is used for modeling the fluid. The particles within the fluid are simulated with the Discrete Element Method, which is also applied for the boundary geometry. These methods are coupled to model a fluid and solid particles in one common simulation. In this work Lagrangian methods are employed because the natural handling of the solid-fluid interface.The simulation of a fluid with particle loading requires a large numbers of particles. With an increasing number of particles the computational effort rises. In the presented examples, the number of particles is up to 50 million. Therefore, the calculation is done on supercomputers.First, in this work the simulation framework for complex fluid particles simulation is presented. Then, the employed simulation methods are introduced and some simulations for verifying the framework are discussed. Afterwards simulations of a fluid with particles as loading and complex boundaries and the results are presented.

Suggested Citation

  • Florian Beck & Florian Fleissner & Peter Eberhard, 2013. "Lagrangian Simulation of a Fluid with Solid Particle Loading Performed on Supercomputers," Springer Books, in: Wolfgang E. Nagel & Dietmar H. Kröner & Michael M. Resch (ed.), High Performance Computing in Science and Engineering ‘13, edition 127, pages 405-421, Springer.
  • Handle: RePEc:spr:sprchp:978-3-319-02165-2_28
    DOI: 10.1007/978-3-319-02165-2_28
    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_28. 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.