Multiscale Computation of Failure in Granular Materials

Multiscale Computation of Failure in Granular Materials

1st Edition - December 1, 2019

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  • Author: Richard Wan
  • Hardcover ISBN: 9781785480799

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Multiscale Computation of Failure in Granular Materials covers the multiscale modeling of geomaterials, referencing their mechanical and failure behaviors. Multiscale approaches introduce underlying particle micromechanics, giving way to enriched or structured macroscopic constitutive relationships endowed with small scale information. The pertinence of such models in continuum approaches, such as the finite element method in capturing rich failure modes implicating strain localization and fracture and diffuse phenomena is highlighted, along with an analysis of failure through discrete element modeling. Finally, the presence of liquid and gas phases within a granular material is covered in relation to saturated and partially saturated media.

Key Features

  • Presents the multi-scale modeling of geomaterials
  • Describes the micromechanics of underlying particles
  • Highlights fracture and diffuse phenomena
  • Analyzes failures by discrete modeling


Academics, students, Governments labs, research Institutes, R&D divisions, engineers

Table of Contents

  • 1. Introduction
    2. Constitutive Modelling – Continuum Approaches
    3. Fundamentals of the micromechanics of Geomaterials
    4. Multiscale Modelling of Granular Materials
    5. Micromechanics of multiphasic Porous Materials
    6. Multiphase modelling of fracturing in rocks
    7. Engineering applications
    8. Conclusions

Product details

  • No. of pages: 230
  • Language: English
  • Copyright: © ISTE Press - Elsevier 2029
  • Published: December 1, 2019
  • Imprint: ISTE Press - Elsevier
  • Hardcover ISBN: 9781785480799

About the Author

Richard Wan

Richard Wan is Professor with the Department of Civil Engineering at the University of Calgary, Canada. He sits on the Editorial Board of several international journals and was the Vice-Chair of the TC103 (Numerical Methods) of the ISSMGE from 2009-2017.

Affiliations and Expertise

University of Calgary, Alberta, Canada

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