Abstract

Plastic yielding of amorphous solids occurs by power-law distributed deformation avalanches whose universality is still debated. Experiments and molecular dynamics simulations are hampered by limited statistical samples, and although existing stochastic models give precise exponents, they require strong assumptions about fixed deformation directions, at odds with the statistical isotropy of amorphous materials. Here, we introduce a fully tensorial, stochastic mesoscale model for amorphous plasticity that links the statistical physics of plastic yielding to engineering mechanics. It captures the complex shear patterning observed for a wide variety of deformation modes, as well as the avalanche dynamics of plastic flow. Avalanches are described by universal size exponents and scaling functions, avalanche shapes, and local stability distributions, independent of system dimensionality, boundary and loading conditions, and stress state. Our predictions consistently differ from those of mean-field depinning models, providing evidence that plastic yielding is a distinct type of critical phenomenon.

Highlights

  • Plastic yielding of amorphous solids occurs by power-law distributed deformation avalanches whose universality is still debated

  • We show that the choice of plastic flow rule does not affect avalanche dynamics, which are invariant under rescaling of the simulation mesh

  • We have formulated a tensorial model of amorphous plasticity which captures avalanche dynamics and at the same time reproduces the complex, spatially heterogeneous shear localization patterns which emerge in real amorphous materials

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Summary

Introduction

Plastic yielding of amorphous solids occurs by power-law distributed deformation avalanches whose universality is still debated. While there is consensus that the fundamental building blocks of plasticity in amorphous materials are local reorganizations[1,2,3,4], their collective behaviour is a topic that continues to receive considerable experimental and theoretical attention[5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26] This behaviour includes spontaneous strain localization, intermittent dynamics and power-law distributed avalanches. Particular difficulties are encountered if one wants to determine stress-resolved avalanche size distributions, for which statistically reliable conclusions require ensembles of hundreds or even thousands of tests, which are impractical to achieve

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