IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v369y2006i2p884-894.html
   My bibliography  Save this article

Analysis of permeability for the fractal-like tree network by parallel and series models

Author

Listed:
  • Xu, Peng
  • Yu, Boming
  • Feng, Yongjin
  • Liu, Yanjun

Abstract

This work investigates the hydraulic conductivity properties in the fractal-like tree networks between one point and a straight line. The expression for the effective permeability of the networks is derived based on the parallel and series models and the relationship between the effective permeability and the geometry structures of the network is analyzed. It is found the effective permeability after including tortuosity is about 20% lower than that without considering the tortuosity, and the tortuosity effect should be included in analysis of hydraulic conductivity properties in the networks; the effective permeability is very sensitive to the geometrical structures of the network. A comparison of the fractal-like tree network with the traditional parallel net indicates that the fractal-like tree network can provide much higher permeability than that of the traditional parallel net.

Suggested Citation

  • Xu, Peng & Yu, Boming & Feng, Yongjin & Liu, Yanjun, 2006. "Analysis of permeability for the fractal-like tree network by parallel and series models," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 369(2), pages 884-894.
    • Handle: RePEc:eee:phsmap:v:369:y:2006:i:2:p:884-894
    DOI: 10.1016/j.physa.2006.03.023
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378437106003566
    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.2006.03.023?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. Zhu, Jianting, 2020. "Coupling effect of power-law fluid properties and scaled fractal characteristics on flow through fractured media," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 559(C).
    2. Zhu, Jianting, 2018. "Effective aperture and orientation of fractal fracture network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 512(C), pages 27-37.
    3. He, Ziqiang & Yan, Yunfei & Zhang, Zhien, 2021. "Thermal management and temperature uniformity enhancement of electronic devices by micro heat sinks: A review," Energy, Elsevier, vol. 216(C).

    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:369:y:2006:i:2:p:884-894. 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.