IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v263y1999i1p252-262.html
   My bibliography  Save this article

The physics of wall turbulence

Author

Listed:
  • Jiménez, Javier

Abstract

The behaviour of wall-bounded turbulent flows is briefly reviewed, with emphasis on areas which remain open and which are distinct from the problem of turbulence in general. It is argued that the near-wall region is reasonably well understood, at least for smooth walls, but that its interactions with the outer flow are not, including the question of its asymptotic behaviour at large Reynolds numbers. The similarity properties of the logarithmic region are addressed next, in view of the recent controversy about its validity. It is concluded, from an analysis of experimental data for the fluctuation intensities, that the classical matching argument for the logarithmic law is probably correct. Finally, wall flows are identified as the seat of a second, spatial, energy cascade, different from the classical Kolmogorov one. It is conjectured that the large-scale intermittency of boundary layers might reflect a pattern-forming instability of this cascade, possibly related to certain anomalies observed in boundary layers over rough walls.

Suggested Citation

  • Jiménez, Javier, 1999. "The physics of wall turbulence," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 263(1), pages 252-262.
    • Handle: RePEc:eee:phsmap:v:263:y:1999:i:1:p:252-262
    DOI: 10.1016/S0378-4371(98)00507-X
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S037843719800507X
    Download Restriction: Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000
    File URL: https://libkey.io/10.1016/S0378-4371(98)00507-X?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. Antoniadis A. & Lavergne C., 1994. "An estimating function for a scalar parameter in a covariance operator," Statistics & Risk Modeling, De Gruyter, vol. 12(1), pages 53-66, January.
    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.

      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:phsmap:v:263:y:1999:i:1:p:252-262. 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: http://www.journals.elsevier.com/physica-a-statistical-mechpplications/ .

      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.