IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v10y2022i23p4619-d994744.html
   My bibliography  Save this article

Statistical Descriptions of Inhomogeneous Anisotropic Turbulence

Author

Listed:
  • J. J. H. Brouwers

    (Romico Hold A.V.V., 6226 GV Maastricht, The Netherlands)

Abstract

Descriptions are given of the Langevin and diffusion equation of passively marked fluid particles in turbulent flow with spatially varying and anisotropic statistical properties. The descriptions consist of the first two terms of an expansion in powers of C 0 − 1 , where C 0 is an autonomous Lagrangian-based Kolmogorov constant: C 0 ≈ 7 . Solutions involve the application of methods of stochastic analysis while complying with the basic laws of physics. The Lagrangian-based descriptions are converted into Eulerian-based fixed-point expressions through asymptotic matching. This leads to novel descriptions for the mean values of the fluctuating convective terms of the conservation laws of continua. They can be directly implemented in CFD codes for calculating fluid flows in engineering and environmental analysis. The solutions are verified in detail through comparison with direct numerical simulations of turbulent channel flows at large Reynolds numbers.

Suggested Citation

  • J. J. H. Brouwers, 2022. "Statistical Descriptions of Inhomogeneous Anisotropic Turbulence," Mathematics, MDPI, vol. 10(23), pages 1-18, December.
  • Handle: RePEc:gam:jmathe:v:10:y:2022:i:23:p:4619-:d:994744
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/10/23/4619/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2227-7390/10/23/4619/
    Download Restriction: no
    ---><---

    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:23:p:4619-:d:994744. 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.