IDEAS home Printed from https://ideas.repec.org/a/taf/gcmbxx/v26y2023i14p1761-1771.html
   My bibliography  Save this article

Numerical analysis of streaming potential induced by loads in micro-pores of articular cartilage

Author

Listed:
  • Yutao Men
  • Yucheng Ren
  • Zhonghai Zhao
  • Xin Wang
  • Lu Liu

Abstract

In order to understand the distribution of streaming potentials in cartilage pores, this paper established finite element model to analyze. The results showed that the streaming potential in cartilage micro-pores increased along the axis. The electric potential in 5 μm straight micro-pore was about 50 μV, and the electric potential of curved bifurcation model was about 30 μV. The pressure and Zeta potential had a linear growth relationship with the streaming potential. The streaming potential decreased with the increase of ion concentration until ion concentration was saturated. These results could provide a theoretical basis for cartilage research.

Suggested Citation

  • Yutao Men & Yucheng Ren & Zhonghai Zhao & Xin Wang & Lu Liu, 2023. "Numerical analysis of streaming potential induced by loads in micro-pores of articular cartilage," Computer Methods in Biomechanics and Biomedical Engineering, Taylor & Francis Journals, vol. 26(14), pages 1761-1771, October.
    • Handle: RePEc:taf:gcmbxx:v:26:y:2023:i:14:p:1761-1771
    DOI: 10.1080/10255842.2022.2141570
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/10255842.2022.2141570
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/10255842.2022.2141570?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.

    More about this item

    Statistics

    Access and download statistics

    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:taf:gcmbxx:v:26:y:2023:i:14:p:1761-1771. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/gcmb .

    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.