395
Views
5
CrossRef citations to date
0
Altmetric
Research Article

Bearing capacity of interfering strip footings on rock mass

, &
Pages 883-895 | Received 25 Apr 2020, Accepted 10 Mar 2021, Published online: 29 Mar 2021
 

ABSTRACT

The present study computes the ultimate bearing capacity of closely spaced strip footings resting on a rock mass. The investigation is executed numerically by using the lower bound finite element limit analysis in association with the semidefinite programming (SDP). Rock mass is assumed to be a perfectly plastic material and follows the modified Hoek-Brown failure criterion. The magnitude of efficiency factor (ξσ), which is the ratio of the ultimate bearing capacity of interfering footings to isolated footing, is assessed for different clear spacing distances between strip footings. The influence of various rock strength parameters, such as normalised uniaxial compressive strength (σci/γB), geological strength index (GSI) and Hoek-Brown material parameter (mi) on the footing interference, are also studied extensively. The results of the present study indicate that the interference effect increases continuously with an increase in mi value; however, it reduces with an increase in GSI value. Detailed variations of the bearing capacity with mentioned parameters are shown and compared with the available literature. It is found that the present study generally provides a lower estimate of ξσ value.

Notations

Disclosure statement

No potential conflict of interest is reported by the authors.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 203.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.