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Nonlinear Sciences > Pattern Formation and Solitons

Title: Quantized plastic deformation

Abstract: In engineering crystal plasticity inelastic mechanisms correspond to tensorial zero-energy valleys in the space of macroscopic strains. The flat nature of such valleys is in contradiction with the fact that plastic slips, mimicking lattice-invariant shears, are inherently discrete. A reconciliation has recently been achieved in the mesoscopic tensorial model (MTM) of crystal plasticity, which introduces periodically modulated energy valleys while also capturing in a geometrically exact way the crystallographically-specific aspects of plastic slips. In this paper, we extend the MTM framework, which in its original form had the appearance of a discretized nonlinear elasticity theory, by explicitly introducing the concept of plastic deformation. The ensuing model contains a novel matrix-valued spin variable, representing the quantized plastic distortion, whose rate-independent evolution can be described by a discrete (quasi-)automaton. The proposed reformulation of the MTM leads to a considerable computational speedup associated with the use of a robust and efficient hybrid Gauss-Newton--Cauchy energy minimization algorithm. To illustrate the effectiveness of the new approach, we present a detailed case-study focusing on the aspects of crystal plasticity that are beyond reach for the classical continuum theory. Thus, we provide compelling evidence that the re-formulated MTM is fully adequate to deal with the intermittency of plastic response under quasi-static loading. In particular, our numerical experiments show that the statistics of dislocational avalanches, associated with plastic yield in 2D square crystals, exhibits a power-law tail with a critical exponent matching the value predicted by general theoretical considerations and also independently observed in discrete-dislocation-dynamics (DDD) simulations.
Comments: 49 pages, 18 figures
Subjects: Pattern Formation and Solitons (nlin.PS); Materials Science (cond-mat.mtrl-sci); Adaptation and Self-Organizing Systems (nlin.AO); Computational Physics (physics.comp-ph)
Cite as: arXiv:2401.08030 [nlin.PS]
  (or arXiv:2401.08030v2 [nlin.PS] for this version)

Submission history

From: Nathan Perchikov [view email]
[v1] Tue, 16 Jan 2024 00:56:41 GMT (1653kb)
[v2] Thu, 28 Mar 2024 00:15:45 GMT (2122kb)

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