287
Views
9
CrossRef citations to date
0
Altmetric
Original Articles

Investigation of the mechanical behaviour of an unsaturated soil mixture using a digital image measurement system

, , &
Pages 1051-1067 | Received 18 Oct 2017, Accepted 14 Feb 2018, Published online: 23 Feb 2018
 

Abstract

A triaxial apparatus that includes a digital image measurement system (DIMS) is used to investigate the mechanical behaviour of a compacted soil mixture of tailing sand and speswhite kaolin. The experimental programme involves a series of soil–water retention curve (SWRC) tests, isotropic compression tests and suction-controlled triaxial tests. A non-contact method for measuring the sample volume is developed based on the strain field obtained from the DIMS. Particular attention is given to the volumetric behaviour of the soil, and three distinct stages are observed during the consolidation of the suction-controlled triaxial tests. Then a void ratio-dependent shear strength model is proposed, incorporating the influence of the change in void ratio on the SWRC pattern. The model is validated against the experimental data from the tests, showing that it can provide a more accurate prediction of shear strength than that of conventional predictions using a unique SWRC. Moreover, the proposed model is capable of representing several important aspects of the shear behaviour of unsaturated soils, such as the dependence of suction-induced strength on net normal stress and density effect on the shear strength.

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 229.00 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.