IDEAS home Printed from https://ideas.repec.org/a/eee/matcom/v170y2020icp143-163.html
   My bibliography  Save this article

Acceleration strategies based on bubble-type adaptive mesh refinement method

Author

Listed:
  • Guo, Wei
  • Nie, Yufeng
  • Zhang, Weiwei

Abstract

Although the adaptive mesh refinement method based on bubble placement can generate a high-quality mesh, the efficiency of bubble placement method remains to be improved. In this study several acceleration strategies are proposed to reduce the cost of simulation. The specific strategies are given as follows: in order to reduce the number of simulation rounds, the bubbles at the new refinement level are added in advance according to the estimated bubble distribution; multilevel time step is adopted for time integration and the time step is defined separately for moving bubbles and oscillating bubbles; a scheme for setting cell length adaptively is proposed and the cell searching method is modified to improve the efficiency of establishing adjacent list; efficiency of updating bubble size is also enhanced by promoting the localization process. Numerical examples illustrate that the computing cost can significantly decrease by 70% via adopting the strategies above, while keeping the mesh quality unchanged compared with the traditional method. It shows that those strategies are efficient and suitable for adaptive mesh refinement.

Suggested Citation

  • Guo, Wei & Nie, Yufeng & Zhang, Weiwei, 2020. "Acceleration strategies based on bubble-type adaptive mesh refinement method," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 170(C), pages 143-163.
  • Handle: RePEc:eee:matcom:v:170:y:2020:i:c:p:143-163
    DOI: 10.1016/j.matcom.2019.10.014
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378475419303179
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.matcom.2019.10.014?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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:eee:matcom:v:170:y:2020:i:c:p:143-163. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/mathematics-and-computers-in-simulation/ .

    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.