87
Views
2
CrossRef citations to date
0
Altmetric
Original Articles

A binary-medium-based constitutive model for geological materials based on the statistical meso-breakage concept and mean-field homogenization

, &
Pages 3425-3448 | Received 22 Feb 2022, Accepted 11 Oct 2022, Published online: 22 Oct 2022
 

Abstract

This paper is devoted to determining the inelastic responses of geological materials by the binary-medium-based constitutive model. The geomaterials are conceptualized as two-phase composites that are composed of the bonded medium of elastic–brittle nature and the frictional medium of elastoplastic nature. The evolution of meso-structure upon loading is considered by the progressive transformation of the bonded medium into the frictional medium. By introducing the statistical meso-breakage concept, the breakage ratio indicating the degree of such transformation is determined by statistical approaches. The interactions among inclusions (the bonded medium) and matrix (the frictional medium) and the influence of the varying breakage ratio are considered with the help of the double-inclusion model within the framework of the mean-field homogenization scheme. An application is presented for the structured/bonding geomaterials based on the proposed model. The comparisons between computed results and experimental data of three kinds of structured soils show that the proposed model can reproduce the typical behaviors of cemented/structured geomaterials.

Disclosure statement

No potential conflict of interest was 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 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.