IDEAS home Printed from https://ideas.repec.org/a/eee/apmaco/v421y2022ics0096300322000248.html
   My bibliography  Save this article

A semi-implicit approach for sediment transport models with gravitational effects

Author

Listed:
  • Garres-Díaz, J.
  • Fernández-Nieto, E.D.
  • Narbona-Reina, G.

Abstract

In this work efficient semi-implicit methods for sediment bedload transport models with gravitational effects under subcritical regimes is proposed. Several families of models with gravitational effects are presented and rewritten under a general formulation that allows us to apply the semi-implicit method. In the numerical tests we focus on the application of a generalization of the Ashida-Michiue model, which includes the gradient of both the bedload and the fluid surface. Analytical steady states solutions (both lake at rest and non vanishing velocity) are deduced an approximated with the proposed scheme. In all the presented tests, the computational efforts are notably reduced thanks to the proposed method without losing the accuracy in the results.

Suggested Citation

  • Garres-Díaz, J. & Fernández-Nieto, E.D. & Narbona-Reina, G., 2022. "A semi-implicit approach for sediment transport models with gravitational effects," Applied Mathematics and Computation, Elsevier, vol. 421(C).
  • Handle: RePEc:eee:apmaco:v:421:y:2022:i:c:s0096300322000248
    DOI: 10.1016/j.amc.2022.126938
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0096300322000248
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.amc.2022.126938?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. Garres-Díaz, José & Bonaventura, Luca, 2021. "Flexible and efficient discretizations of multilayer models with variable density," Applied Mathematics and Computation, Elsevier, vol. 402(C).
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Caballero-Cárdenas, C. & Castro, M.J. & Morales de Luna, T. & Muñoz-Ruiz, M.L., 2023. "Implicit and implicit-explicit Lagrange-projection finite volume schemes exactly well-balanced for 1D shallow water system," Applied Mathematics and Computation, Elsevier, vol. 443(C).

    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:eee:apmaco:v:421:y:2022:i:c:s0096300322000248. 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: 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.