IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v9y2021i15p1747-d600657.html
   My bibliography  Save this article

An Extension of Explicit Coupling for Fluid–Structure Interaction Problems

Author

Listed:
  • Martina Bukač

    (Department of Applied and Computational Mathematics and Statistics, University of Notre Dame, Notre Dame, IN 46556, USA)

Abstract

We present an extension of a non-iterative, partitioned method previously designed and used to model the interaction between an incompressible, viscous fluid and a thick elastic structure. The original method is based on the Robin boundary conditions and it features easy implementation and unconditional stability. However, it is sub-optimally accurate in time, yielding only O ( Δ t 1 2 ) rate of convergence. In this work, we propose an extension of the method designed to improve the sub-optimal accuracy. We analyze the stability properties of the proposed method, showing that the method is stable under certain conditions. The accuracy and stability of the method are computationally investigated, showing a significant improvement in the accuracy when compared to the original scheme, and excellent stability properties. Furthermore, since the method depends on a combination parameter used in the Robin boundary conditions, whose values are problem specific, we suggest and investigate formulas according to which this parameter can be determined.

Suggested Citation

  • Martina Bukač, 2021. "An Extension of Explicit Coupling for Fluid–Structure Interaction Problems," Mathematics, MDPI, vol. 9(15), pages 1-20, July.
  • Handle: RePEc:gam:jmathe:v:9:y:2021:i:15:p:1747-:d:600657
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/9/15/1747/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2227-7390/9/15/1747/
    Download Restriction: no
    ---><---

    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. 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.

    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:15:p:1747-:d:600657. 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.