Aging in a mean field elastoplastic model of amorphous solids

Parley, Jack T.; Fielding, Suzanne M.; Sollich, Peter

Abstract

We construct a mean-field elastoplastic description of the dynamics of amorphous solids under arbitrary time-dependent perturbations, building on the work of Lin and Wyart [Phys. Rev. X 6, 011005 (2016)] for steady shear. Local stresses are driven by power-law distributed mechanical noise from yield events throughout the material, in contrast to the well-studied Hébraud–Lequeux model where the noise is Gaussian. We first use a mapping to a mean first passage time problem to study the phase diagram in the absence of shear, which shows a transition between an arrested and a fluid state. We then introduce a boundary layer scaling technique for low yield rate regimes, which we first apply to study the scaling of the steady state yield rate on approaching the arrest transition. These scalings are further developed to study the aging behavior in the glassy regime for different values of the exponent μ characterizing the mechanical noise spectrum. We find that the yield rate decays as a power-law for 1 < μ < 2, a stretched exponential for μ = 1, and an exponential for μ < 1, reflecting the relative importance of far-field and near-field events as the range of the stress propagator is varied. A comparison of the mean-field predictions with aging simulations of a lattice elastoplastic model shows excellent quantitative agreement, up to a simple rescaling of time.

Citation

Parley, J. T., Fielding, S. M., & Sollich, P. (2020). Aging in a mean field elastoplastic model of amorphous solids. Physics of Fluids, 32(12), Article 127104. https://doi.org/10.1063/5.0033196

• Journal Article Type: Article
• Acceptance Date: Nov 13, 2020
• Online Publication Date: Nov 4, 2020
• Publication Date: 2020
• Deposit Date: Aug 9, 2022
• Publicly Available Date: Aug 9, 2022
• Journal: Physics of Fluids
• Print ISSN: 1070-6631
• Electronic ISSN: 1089-7666
• Publisher: American Institute of Physics
• Peer Reviewed: Peer Reviewed
• Volume: 32
• Issue: 12
• Article Number: 127104
• DOI: https://doi.org/10.1063/5.0033196
• Public URL: https://durham-repository.worktribe.com/output/1194738