Interplay of rearrangements, strain, and local structure during avalanche propagation
arXiv:2009.11414
Abstract
Jammed soft disks exhibit avalanches of particle rearrangements under quasistatic shear. We follow the avalanches using steepest descent 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. Our findings form the foundation of an augmented elastoplastic model that includes local structure.
References in corpus (15)
- Dynamics of Viscoplastic Deformation in Amorphous Solids
- Crackling Noise
- Irreversible reorganization in a supercooled liquid originates from localised soft modes
- Identifying structural flow defects in disordered solids using machine learning methods
- Vibrational modes identify soft spots in a sheared disordered packing
- A random critical point separates brittle and ductile yielding transitions in amorphous materials
- Elastic consequences of a single plastic event : a step towards the microscopic modeling of the flow of yield stress fluids
- Statistical Physics of the Yielding Transition in Amorphous Solids
- The Relationship Between Local Structure and Relaxation in Out-of-Equilibrium Glassy Systems
- Local yield stress statistics in model amorphous solids
- Machine learning determination of atomic dynamics at grain boundaries
- Disconnecting structure and dynamics in glassy thin films
- Avalanche localization and crossover scaling in amorphous plasticity
- Deformation and flow of amorphous solids: An updated review of mesoscale elastoplastic models
- Machine Learning Characterization of Structural Defects in Amorphous Packings of Dimers and Ellipses