IDEAS home Printed from https://ideas.repec.org/a/eee/chsofr/v190y2025ics096007792401381x.html
   My bibliography  Save this article

Bridging turbulent scales: A unified LES approach from low to high Reynolds numbers using TSDIA and GOY Shell models

Author

Listed:
  • Hebishima, Hana
  • Inage, Shin-ichi

Abstract

Large Eddy Simulation (LES) has become a widely adopted method for modeling turbulence across various fields, such as aerospace, wind energy, and urban wind flow analysis. While traditional LES models are highly effective at high Reynolds numbers, they face challenges at low Reynolds numbers due to the absence of a clearly defined inertial subrange. This paper introduces an improved LES approach by integrating Yoshizawa's Two-Scale Direct Interaction Approximation (TSDIA) theory and the GOY shell model. This combined method extends the applicability of LES by capturing turbulence features across both inertial and dissipation ranges, overcoming limitations found in conventional models. By deriving model constants directly from the shell model, this approach avoids reliance on empirical values and enhances accuracy, particularly at low Reynolds numbers. Validation against DNS data demonstrates a significant improvement in prediction accuracy, offering a more comprehensive and adaptable solution for turbulent flow simulations across a wide range of practical applications. This method provides a more robust foundation for industrial fluid simulations and environmental modeling.

Suggested Citation

  • Hebishima, Hana & Inage, Shin-ichi, 2025. "Bridging turbulent scales: A unified LES approach from low to high Reynolds numbers using TSDIA and GOY Shell models," Chaos, Solitons & Fractals, Elsevier, vol. 190(C).
  • Handle: RePEc:eee:chsofr:v:190:y:2025:i:c:s096007792401381x
    DOI: 10.1016/j.chaos.2024.115829
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S096007792401381X
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.chaos.2024.115829?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.

    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:chsofr:v:190:y:2025:i:c:s096007792401381x. 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: Thayer, Thomas R. (email available below). General contact details of provider: https://www.journals.elsevier.com/chaos-solitons-and-fractals .

    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.