IDEAS home Printed from https://ideas.repec.org/a/taf/gcmbxx/v15y2012i8p807-814.html
   My bibliography  Save this article

Computational simulation of internal bone remodelling around dental implants: a sensitivity analysis

Author

Listed:
  • Istabrak Hasan
  • Alireza Rahimi
  • Ludger Keilig
  • Kai-Thomas Brinkmann
  • Christoph Bourauel

Abstract

This study aimed to predict the distribution of bone trabeculae, as a density change per unit time, around a dental implant based on applying a selected mathematical remodelling model. The apparent bone density change as a function of the mechanical stimulus was the base of the applied remodelling model that describes disuse and overload bone resorption. The simulation was tested in a finite element model of a screw-shaped dental implant in an idealised bone segment. The sensitivity of the simulation to different mechanical parameters was investigated; these included element edge length, boundary conditions, as well as direction and magnitude of the implant loads. The alteration in the mechanical parameters had a significant influence on density distribution and model stability, in particular at the cortical bone region. The remodelling model could succeed to achieve trabeculae-like structure around osseointegrated dental implants. The validation of this model to a real clinical case is required.

Suggested Citation

  • Istabrak Hasan & Alireza Rahimi & Ludger Keilig & Kai-Thomas Brinkmann & Christoph Bourauel, 2012. "Computational simulation of internal bone remodelling around dental implants: a sensitivity analysis," Computer Methods in Biomechanics and Biomedical Engineering, Taylor & Francis Journals, vol. 15(8), pages 807-814.
    • Handle: RePEc:taf:gcmbxx:v:15:y:2012:i:8:p:807-814
    DOI: 10.1080/10255842.2011.561793
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/10255842.2011.561793
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/10255842.2011.561793?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. Jacobo Baldonedo & José R. Fernández & Abraham Segade, 2020. "Numerical Analysis of an Osseointegration Model," Mathematics, MDPI, vol. 8(1), pages 1-20, January.

    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:15:y:2012:i:8:p:807-814. 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.