Interplay of Rearrangements, Strain, and Local Structure during Avalanche Propagation

Jammed soft disks exhibit avalanches of particle rearrangements under quasistatic shear. We introduce a framework for understanding the statistics of the progression of avalanches. We follow the avalanches (simulated using steepest descent energy minimization) to decompose them into individual local...

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Bibliographic Details
Published inPhysical review. X Vol. 11; no. 4; p. 041019
Main Authors Zhang, Ge, Ridout, Sean A., Liu, Andrea J.
Format Journal Article
LanguageEnglish
Published College Park American Physical Society 01.10.2021
Subjects
Avalanches
Crystal defects
Crystal structure
Disks
Ductile fracture
Elastoplasticity
Machine learning
Plastic properties
Softness
Statistical mechanics
Strain
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Summary:Jammed soft disks exhibit avalanches of particle rearrangements under quasistatic shear. We introduce a framework for understanding the statistics of the progression of avalanches. We follow the avalanches (simulated using steepest descent energy minimization) to decompose them into individual localized rearrangements. We characterize the local structural environment of each particle by a machine-learned quantity, softness, designed to be highly correlated with rearrangements, and analyze the interplay between softness, rearrangements, and strain. Local yield strain has long been incorporated into elastoplastic models; here we show that softness provides a useful proxy for local yield strain. Our findings demonstrate that elastoplastic models must take into account the fully tensorial strain field in order to include the effects of changes in local yield strain due to rearrangements and introduce the equations underpinning a structuro-elastoplastic model that includes local softness.
ISSN:2160-3308
2160-3308
DOI:10.1103/PhysRevX.11.041019