IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-540-88303-6_19.html
   My bibliography  Save this book chapter

Implicit LES of Passive-Scalar Mixing in a Confined Rectangular-Jet Reactor

In: High Performance Computing in Science and Engineering '08

Author

Listed:
  • A. Devesa

    (Technische Universität München, Institute of Aerodynamics)

  • S. Hickel

    (Technische Universität München, Institute of Aerodynamics)

  • N. A. Adams

    (Technische Universität München, Institute of Aerodynamics)

Abstract

Summary Recently, the implicit SGS modeling environment provided by the Adaptive Local Deconvolution Method (ALDM) has been extended to Large-Eddy Simulations (LES) of passive-scalar transport. The resulting adaptive advection algorithm has been described and discussed with respect to its numerical and turbulence-theoretical background by Hickel et al., 2007. Results demonstrate that this method allows for reliable predictions of the turbulent transport of passive-scalars in isotropic turbulence and in turbulent channel flow for a wide range of Schmidt numbers. We now intend to use this new method to perform LES of a confined rectangular-jet reactor and compare obtained results to experimental data available in the literature.

Suggested Citation

  • A. Devesa & S. Hickel & N. A. Adams, 2009. "Implicit LES of Passive-Scalar Mixing in a Confined Rectangular-Jet Reactor," Springer Books, in: Wolfgang E. Nagel & Dietmar B. Kröner & Michael M. Resch (ed.), High Performance Computing in Science and Engineering '08, pages 257-268, Springer.
    • Handle: RePEc:spr:sprchp:978-3-540-88303-6_19
    DOI: 10.1007/978-3-540-88303-6_19
    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

    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:978-3-540-88303-6_19. 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.