IDEAS home Printed from https://ideas.repec.org/a/taf/gcmbxx/v13y2010i3p327-337.html
   My bibliography  Save this article

Prediction of nonlinear elastic behaviour of vaginal tissue: experimental results and model formulation

Author

Listed:
  • P. Martins
  • E. Peña
  • B. Calvo
  • M. Doblaré
  • T. Mascarenhas
  • R. Natal Jorge
  • A. Ferreira

Abstract

The mechanical properties of the vaginal tissue need to be characterised to perform accurate simulations of prolapse and other pelvic disorders that commonly affect women. This is also a fundamental step towards the improvement of therapeutic techniques such as surgery. Issues like the efficiency of using autologous tissue in pelvic reconstruction may be addressed. The goal of this study was to characterise the elastic behaviour of vaginal tissue. For this purpose, prolapsed vaginal tissue from eight different post-menopausal patients, excised during prolapse corrective surgery, was mechanically tested. The mechanical testing of vaginal tissue, consisting of uniaxial tension tests performed along the longitudinal axis of the vagina, revealed the nonlinear mechanical behaviour of the tissue. The material model parameters were fit to the experimental data using the Levenberg–Marquardt optimisation algorithm. All the curve fittings showed a good agreement between experimental and theoretical results, evidenced by R2 values close to 1 and by very low ϵ values.

Suggested Citation

  • P. Martins & E. Peña & B. Calvo & M. Doblaré & T. Mascarenhas & R. Natal Jorge & A. Ferreira, 2010. "Prediction of nonlinear elastic behaviour of vaginal tissue: experimental results and model formulation," Computer Methods in Biomechanics and Biomedical Engineering, Taylor & Francis Journals, vol. 13(3), pages 327-337.
  • Handle: RePEc:taf:gcmbxx:v:13:y:2010:i:3:p:327-337
    DOI: 10.1080/10255840903208197
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/10255840903208197
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/10255840903208197?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. Amira M. Eltony & Peng Shao & Seok-Hyun Yun, 2022. "Measuring mechanical anisotropy of the cornea with Brillouin microscopy," Nature Communications, Nature, vol. 13(1), pages 1-11, December.

    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:13:y:2010:i:3:p:327-337. 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.