IDEAS home Printed from https://ideas.repec.org/a/ids/ijrsaf/v12y2018i3p237-260.html
   My bibliography  Save this article

Random finite element method for bearing capacity assessment of a shallow foundation under varied uniaxial loadings

Author

Listed:
  • Amal Hentati
  • Mbarka Selmi
  • Tarek Kormi
  • Nizar Bel Hadj Ali

Abstract

This paper focuses on the application of the random finite element method (RFEM) for the assessment of the uniaxial bearing capacities of a shallow foundation subjected to centred vertical, horizontal and rotational loadings. The analysis combines finite element modelling, spatial variability analysis and Monte Carlo simulation. For this, the soil undrained shear strength is assumed to be variable in both horizontal and vertical directions with spatial dependency expressed via a Markovian autocorrelation function. The application of the proposed methodology to a shallow foundation permitted to highlight the insufficiency of the deterministic approach to predict the uniaxial foundation bearing capacities and led to different failure mechanisms.

Suggested Citation

  • Amal Hentati & Mbarka Selmi & Tarek Kormi & Nizar Bel Hadj Ali, 2018. "Random finite element method for bearing capacity assessment of a shallow foundation under varied uniaxial loadings," International Journal of Reliability and Safety, Inderscience Enterprises Ltd, vol. 12(3), pages 237-260.
  • Handle: RePEc:ids:ijrsaf:v:12:y:2018:i:3:p:237-260
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=94939
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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:ids:ijrsaf:v:12:y:2018:i:3:p:237-260. 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: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=98 .

    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.