IDEAS home Printed from https://ideas.repec.org/a/eee/matcom/v220y2024icp406-424.html

Some searches may not work properly. We apologize for the inconvenience.

   My bibliography  Save this article

A parallel solver for fluid–structure interaction problems with Lagrange multiplier

Author

Listed:
  • Boffi, Daniele
  • Credali, Fabio
  • Gastaldi, Lucia
  • Scacchi, Simone

Abstract

The aim of this work is to present a parallel solver for a formulation of fluid–structure interaction (FSI) problems which makes use of a distributed Lagrange multiplier in the spirit of the fictitious domain method. The fluid subproblem, consisting of the non-stationary Stokes equations, is discretized in space by Q2–P1 finite elements, whereas the structure subproblem, consisting of the linear or finite incompressible elasticity equations, is discretized in space by Q1 finite elements. A first order semi-implicit finite difference scheme is employed for time discretization. The resulting linear system at each time step is solved by a parallel GMRES solver, accelerated by block diagonal or triangular preconditioners. The parallel implementation is based on the PETSc library. Several numerical tests have been performed on Linux clusters to investigate the effectiveness of the proposed FSI solver.

Suggested Citation

  • Boffi, Daniele & Credali, Fabio & Gastaldi, Lucia & Scacchi, Simone, 2024. "A parallel solver for fluid–structure interaction problems with Lagrange multiplier," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 220(C), pages 406-424.
  • Handle: RePEc:eee:matcom:v:220:y:2024:i:c:p:406-424
    DOI: 10.1016/j.matcom.2024.01.027
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378475424000399
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.matcom.2024.01.027?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.

    References listed on IDEAS

    as
    1. Langer, Ulrich & Yang, Huidong, 2018. "Numerical simulation of fluid–structure interaction problems with hyperelastic models: A monolithic approach," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 145(C), pages 186-208.
    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.
    1. Nazim Hussain Hajano & Muhammad Sabeel Khan & Lisheng Liu & Mumtaz Ali Kaloi & Hai Mei, 2023. "Combined Micro-Structural Effects of Linearly Increasing Reynolds Number and Mean Inflow Velocity on Flow Fields with Mesh Independence Analysis in Non-Classical Framework," Mathematics, MDPI, vol. 11(9), pages 1-21, April.
    2. Martina Bukač, 2021. "An Extension of Explicit Coupling for Fluid–Structure Interaction Problems," Mathematics, MDPI, vol. 9(15), pages 1-20, July.

    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:220:y:2024:i:c:p:406-424. 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: 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.