IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-540-79409-7_8.html
   My bibliography  Save this book chapter

An Adaptive Fictitious-Domain Method for Quantitative Studies of Particulate Flows

In: Modeling, Simulation and Optimization of Complex Processes

Author

Listed:
  • Sebastian Bönisch

    (University of Heidelberg, Numerical Analysis Group, IWR)

Abstract

We present an adaptive fictitious-domain method to simulate the motion of rigid particles in viscous fluids. Our algorithm is based on the stress-DLM approach proposed by Patankar et al. ([PSJ00, Pat01, SP05]). The consequent use of adaptivity (e.g. locally adapted meshes, adaptive quadrature) makes our method very accurate and efficient, especially in the case of moderate particle volume fractions. Quantitative studies of particulate flow problems become therefore feasible. We validate our method by solving a well-known benchmark problem. The savings achieved by adaptivity are huge. A benchmark problem for multiple particles is proposed. The problem of accurate resolution of non-smooth particle geometries is addressed.

Suggested Citation

  • Sebastian Bönisch, 2008. "An Adaptive Fictitious-Domain Method for Quantitative Studies of Particulate Flows," Springer Books, in: Hans Georg Bock & Ekaterina Kostina & Hoang Xuan Phu & Rolf Rannacher (ed.), Modeling, Simulation and Optimization of Complex Processes, pages 111-120, Springer.
    • Handle: RePEc:spr:sprchp:978-3-540-79409-7_8
    DOI: 10.1007/978-3-540-79409-7_8
    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:978-3-540-79409-7_8. 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.