Multiple slip in a strain-gradient plasticity model motivated by a statistical-mechanics description of dislocations

S Yefimov, E Van der Giessen*

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

51 Citations (Scopus)
296 Downloads (Pure)

Abstract

We have recently proposed a nonlocal continuum crystal plasticity theory for single slip, which is based on a statistical-mechanics description of the collective behavior of dislocations in two dimensions. In the present paper we address the extension of the theory from single slip to multiple slip. Continuum dislocation dynamics in multiple slip is defined and coupled to the small-strain framework of conventional continuum crystal plasticity. Dislocation nucleation, the material resistance to dislocation glide and dislocation annihilation are included in the formulation. Various nonlocal interaction laws between different slip systems are considered on phenomenological grounds. To validate the theory we compare with the results of dislocation simulations of two boundary value problems. One problem is simple shearing of a crystalline strip constrained between two rigid and impenetrable walls. Key features are the formation of boundary layers and the size dependence of the response in the case of symmetric double slip. The other problem is bending of a single crystal strip under double slip. The bending moment versus rotation angle and the evolution of the dislocation structure are analyzed for different slip orientations and specimen sizes. (C) 2004 Elsevier Ltd. All rights reserved.

Original languageEnglish
Pages (from-to)3375-3394
Number of pages20
JournalInternational Journal of Solids and Structures
Volume42
Issue number11-12
DOIs
Publication statusPublished - Jun-2005

Keywords

  • constitutive behavior
  • crystal plasticity
  • dislocations
  • finite elements
  • DISCRETE DISLOCATION
  • NONLOCAL CONTINUUM
  • CRYSTAL PLASTICITY
  • SINGLE-CRYSTAL
  • LENGTH-SCALE
  • DEFORMATION
  • POLYCRYSTALS
  • PREDICTIONS
  • FLOW

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