IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v10y2022i4p620-d751683.html
   My bibliography  Save this article

Computational Efficiency Assessment of Adaptive Mesh Refinement for Turbulent Jets in Crossflow

Author

Listed:
  • Ante Sikirica

    (Faculty of Engineering, University of Rijeka, Vukovarska 58, 51000 Rijeka, Croatia
    Center for Advanced Computing and Modelling, University of Rijeka, Radmile Matejčić 2, 51000 Rijeka, Croatia)

  • Luka Grbčić

    (Faculty of Engineering, University of Rijeka, Vukovarska 58, 51000 Rijeka, Croatia)

  • Marta Alvir

    (Faculty of Engineering, University of Rijeka, Vukovarska 58, 51000 Rijeka, Croatia)

  • Lado Kranjčević

    (Faculty of Engineering, University of Rijeka, Vukovarska 58, 51000 Rijeka, Croatia)

Abstract

Numerical analyses of environmental discharges are commonly conducted on pre-generated numerical grids with refinements implemented in regions of interest or influence on the flow field. This approach to problem formulation relies on insights into the flow specifics so that appropriate attention is given to relevant segments of the domain. In this paper we investigated the applicability of adaptive mesh refinement (AMR) on a commonly considered environmental problem—a jet in crossflow. The assessment was made using the OpenFOAM toolbox. Several RANS turbulence models and grid generation approaches were compared in terms of accuracy to previous studies and experimental results. Main emphasis is given to the computational efficiency of the methodology with a focus on load distribution. Our findings indicate that the results are acceptable in terms of accuracy with load balancing providing significant computational savings thus enabling AMR methodology to outperform the conventional approach.

Suggested Citation

  • Ante Sikirica & Luka Grbčić & Marta Alvir & Lado Kranjčević, 2022. "Computational Efficiency Assessment of Adaptive Mesh Refinement for Turbulent Jets in Crossflow," Mathematics, MDPI, vol. 10(4), pages 1-23, February.
    • Handle: RePEc:gam:jmathe:v:10:y:2022:i:4:p:620-:d:751683
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/10/4/620/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2227-7390/10/4/620/
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Chang, Jianlong & He, Liujing & Chen, Lianhua & Shen, Zhangfeng & Chuah, Lai Fatt & Bokhari, Awais & Klemeš, Jiří Jaromír & Han, Ning, 2022. "Numerical simulation of liquid jet atomization in subsonic crossflow," Energy, Elsevier, vol. 257(C).
    2. Victor V. Kuzenov & Sergei V. Ryzhkov & Aleksey Yu. Varaksin, 2022. "The Adaptive Composite Block-Structured Grid Calculation of the Gas-Dynamic Characteristics of an Aircraft Moving in a Gas Environment," Mathematics, MDPI, vol. 10(12), pages 1-14, June.

    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:10:y:2022:i:4:p:620-:d:751683. 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: 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.