IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v474y2017icp260-266.html
   My bibliography  Save this article

Comparative analysis on turbulent regime: A self-affinity study in fluid flow by using OpenFoam CFD

Author

Listed:
  • Nascimento Filho, A.S.
  • de Souza, J.W.G.
  • Pereira, A.R.B.
  • Santos, A.A.B.
  • da Cunha Lima, I.C.
  • da Cunha Lima, A.T.
  • Moret, M.A.

Abstract

We investigate the self-affinity of a fluid velocity time series in turbulent regime. We use the CFD OpenFoam library to simulate the flow of fluid in a duct with two obstacles injecting vorticity downstream. We calculated the fluid velocity in three sections in of the structure. The simulation presented more turbulences in sections further away from obstacles. We assess the self-affinity of properties of those sections by using the Detrended Fluctuation Analysis method. This scaling method presented two behaviors. First, a persistent behavior after passing through obstacles. Second, a sub-diffusive behavior in turbulent sections, presenting a long-range correlation α exponent ranging between 1.0 and 1.5. The findings suggest that chaotic states tend to follow a sub-diffusive process.

Suggested Citation

  • Nascimento Filho, A.S. & de Souza, J.W.G. & Pereira, A.R.B. & Santos, A.A.B. & da Cunha Lima, I.C. & da Cunha Lima, A.T. & Moret, M.A., 2017. "Comparative analysis on turbulent regime: A self-affinity study in fluid flow by using OpenFoam CFD," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 474(C), pages 260-266.
    • Handle: RePEc:eee:phsmap:v:474:y:2017:i:c:p:260-266
    DOI: 10.1016/j.physa.2017.01.074
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378437117300833
    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/j.physa.2017.01.074?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.

    Citations

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


    Cited by:

    1. Filho, A.S. Nascimento & Araújo, M.L.V. & Miranda, J.G.V. & Murari, T.B. & Saba, H. & Moret, M.A., 2018. "Self-affinity and self-organized criticality applied to the relationship between the economic arrangements and the dengue fever spread in Bahia," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 502(C), pages 619-628.
    2. Santos, José Vicente Cardoso & Perini, Noéle Bissoli & Moret, Marcelo Albano & Nascimento, Erick Giovani Sperandio & Moreira, Davidson Martins, 2021. "Scaling behavior of wind speed in the coast of Brazil and the South Atlantic Ocean: The crossover phenomenon," Energy, Elsevier, vol. 217(C).
    3. Thiago B. Murari & Aloisio S. Nascimento Filho & Marcelo A. Moret & Sergio Pitombo & Alex A. B. Santos, 2020. "Self-Affine Analysis of ENSO in Solar Radiation," Energies, MDPI, vol. 13(18), pages 1-17, September.

    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:474:y:2017:i:c:p:260-266. 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: 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.