IDEAS home Printed from https://ideas.repec.org/a/eee/apmaco/v303y2017icp128-145.html
   My bibliography  Save this article

ALE-SUPG finite element method for convection–diffusion problems in time-dependent domains: Conservative form

Author

Listed:
  • Ganesan, Sashikumaar
  • Srivastava, Shweta

Abstract

A Streamline Upwind Petrov–Galerkin (SUPG) finite element method for a convection dominated transient convection-diffusion-reaction equation in time-dependent domains is proposed. The time-dependent domain is handled by the arbitrary Lagrangian–Eulerian (ALE) approach, whereas the SUPG method is used for the spatial discretization. Further, the first order modified backward Euler and the second order modified Crank–Nicolson methods are used for the temporal discretization. It is shown that the stability of the semi-discrete (continuous in time) conservative ALE-SUPG equation is independent of the mesh velocity, whereas the stability of the fully discrete scheme with the implicit Euler time discretization is unconditionally stable and is only conditionally stable (time step depends on mesh velocity) with the Crank–Nicolson method. Numerical results are presented to support the stability estimates and to show the influence of the SUPG stabilization parameter in a time-dependent domain. Further, the proposed numerical scheme is applied to a boundary/layer problem in a time-dependent domain.

Suggested Citation

  • Ganesan, Sashikumaar & Srivastava, Shweta, 2017. "ALE-SUPG finite element method for convection–diffusion problems in time-dependent domains: Conservative form," Applied Mathematics and Computation, Elsevier, vol. 303(C), pages 128-145.
  • Handle: RePEc:eee:apmaco:v:303:y:2017:i:c:p:128-145
    DOI: 10.1016/j.amc.2017.01.032
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0096300317300401
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.amc.2017.01.032?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.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Neela Nataraj & A. S. Vasudeva Murthy, 2019. "Finite element methods: Research in India over the last decade," Indian Journal of Pure and Applied Mathematics, Springer, vol. 50(3), pages 739-765, September.

    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:apmaco:v:303:y:2017:i:c:p:128-145. 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: https://www.journals.elsevier.com/applied-mathematics-and-computation .

    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.