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Critical softening in Cam-Clay plasticity: Adaptive viscous regularization, dilated time and numerical integration across stress-strain jump discontinuities

Conti, Riccardo
•
De Simone, Antonio
•
TAMAGNINI C.
2013
  • journal article

Periodico
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
Abstract
Within the framework of continuum mechanics, the mechanical behaviour of geomaterials is often described through rate-independent elastoplasticity. In this field, the Cam-Clay models are considered as the paradigmatic example of hardening plasticity models exhibiting pressure dependence and dilation-related hardening/softening. Depending on the amount of softening exhibited by the material, the equations governing the elastoplastic evolution problem may become ill-posed, leading to either no solutions or two solution branches (critical and sub-critical softening). Recently, a method was proposed to handle subcritical softening in Cam-Clay plasticity through an adaptive viscoplastic regularization for the equations of the rate-independent evolution problem. In this work, an algorithm for the numerical integration of the Cam-Clay model with adaptive viscoplastic regularization is presented, allowing the numerical treatment of stress-strain jumps in the constitutive response of the material. The algorithm belongs to the class of implicit return mapping schemes, slightly rearranged to take into account the rate-dependent nature of inelastic deformations. Applications of the algorithm to standard axisymmetric compression tests are discussed. © 2013 Elsevier B.V.
DOI
10.1016/j.cma.2013.02.002
WOS
WOS:000319180800010
Archivio
http://hdl.handle.net/20.500.11767/17223
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-84875628498
Diritti
closed access
Soggetti
  • Cam-Clay

  • Elastoplasticity

  • Viscoplasticity

  • Instability

  • Subcritical softening...

  • Settore ICAR/08 - Sci...

Scopus© citazioni
12
Data di acquisizione
Jun 14, 2022
Vedi dettagli
Web of Science© citazioni
11
Data di acquisizione
Mar 21, 2024
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