IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v9y2021i19p2508-d650966.html
   My bibliography  Save this article

Two-Dimensional Compact-Finite-Difference Schemes for Solving the bi-Laplacian Operator with Homogeneous Wall-Normal Derivatives

Author

Listed:
  • Jesús Amo-Navarro

    (Instituto Universitario de Matemática Pura y Aplicada, Universitat Politècnica de València, 46022 València, Spain)

  • Ricardo Vinuesa

    (FLOW, Engineering Mechanics, KTH Royal Institute of Technology, SE-100 44 Stockholm, Sweden)

  • J. Alberto Conejero

    (Instituto Universitario de Matemática Pura y Aplicada, Universitat Politècnica de València, 46022 València, Spain)

  • Sergio Hoyas

    (Instituto Universitario de Matemática Pura y Aplicada, Universitat Politècnica de València, 46022 València, Spain)

Abstract

In fluid mechanics, the bi-Laplacian operator with Neumann homogeneous boundary conditions emerges when transforming the Navier–Stokes equations to the vorticity–velocity formulation. In the case of problems with a periodic direction, the problem can be transformed into multiple, independent, two-dimensional fourth-order elliptic problems. An efficient method to solve these two-dimensional bi-Laplacian operators with Neumann homogeneus boundary conditions was designed and validated using 2D compact finite difference schemes. The solution is formulated as a linear combination of auxiliary solutions, as many as the number of points on the boundary, a method that was prohibitive some years ago due to the large memory requirements to store all these auxiliary functions. The validation has been made for different field configurations, grid sizes, and stencils of the numerical scheme, showing its potential to tackle high gradient fields as those that can be found in turbulent flows.

Suggested Citation

  • Jesús Amo-Navarro & Ricardo Vinuesa & J. Alberto Conejero & Sergio Hoyas, 2021. "Two-Dimensional Compact-Finite-Difference Schemes for Solving the bi-Laplacian Operator with Homogeneous Wall-Normal Derivatives," Mathematics, MDPI, vol. 9(19), pages 1-13, October.
  • Handle: RePEc:gam:jmathe:v:9:y:2021:i:19:p:2508-:d:650966
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/9/19/2508/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2227-7390/9/19/2508/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Pablo Torres & Soledad Le Clainche & Ricardo Vinuesa, 2021. "On the Experimental, Numerical and Data-Driven Methods to Study Urban Flows," Energies, MDPI, vol. 14(5), pages 1-38, February.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.

      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:gam:jmathe:v:9:y:2021:i:19:p:2508-:d:650966. 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.

      If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.