IDEAS home Printed from https://ideas.repec.org/a/sae/risrel/v235y2021i5p853-862.html
   My bibliography  Save this article

Reliability analysis of the anti-sliding of a retaining wall subjected to seismic loads

Author

Listed:
  • Xiao-Cheng Huang
  • Xiao-Di Xu
  • Qiu-Nan Chen
  • Yun-Fu Liu

Abstract

Geotechnical engineering involves various types of uncertainties, as it always deals with highly variable natural materials. Reliability-based design/analysis can play at least a complementary role in the design approach. In this paper, reliability analysis of anti-sliding of retaining wall with the parameters treated as random variables is performed based on the concept of random fields. Both friction angle and cohesion of soils near the interface along the base of retaining wall are treated as Gaussian fields. The spatial correlation and cross correlation of the variables are calculated by a specific covariance function and the seismic loads act on retaining walls are also taken into account. Examples are illustrated to verify the accuracy of the proposed approach. It is found from the numerical results that the spatial correlation of shear strength has an important influence on the probability of the anti-sliding failure of retaining wall. Moreover, the numerical results obtained from the proposed method are in full agreement with those obtained from Monte Carlo simulations. Therefore, the proposed method provides a new view to study the stability of a retaining wall subjected to seismic loads.

Suggested Citation

  • Xiao-Cheng Huang & Xiao-Di Xu & Qiu-Nan Chen & Yun-Fu Liu, 2021. "Reliability analysis of the anti-sliding of a retaining wall subjected to seismic loads," Journal of Risk and Reliability, , vol. 235(5), pages 853-862, October.
  • Handle: RePEc:sae:risrel:v:235:y:2021:i:5:p:853-862
    DOI: 10.1177/1748006X20964283
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/1748006X20964283
    Download Restriction: no

    File URL: https://libkey.io/10.1177/1748006X20964283?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
    ---><---

    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:sae:risrel:v:235:y:2021:i:5:p:853-862. 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: SAGE Publications (email available below). General contact details of provider: .

    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.