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We study particle-scale motion in sheared highly polydisperse amorphous materials, in which the largest particles are as much as ten times the size of the smallest. We find strikingly different behavior from the more commonly studied amorphous systems with low polydispersity. In particular, an analysis of the nonaffine motion of particles reveals qualitative differences between large and small particles: The smaller particles have dramatically more nonaffine motion, which is induced by the presence of the large particles. We characterize how the nonaffine motion changes from the low- to high-polydispersity regimes. We further demonstrate a quantitative way to distinguish between "large" and "small" particles in systems with broad distributions of particle sizes. A macroscopic consequence of the nonaffine motion is a decrease in the energy dissipation rate for highly polydisperse samples, which is due both to a geometric consequence of the changing jamming conditions for higher polydispersity and to the changing character of nonaffine motion.
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http://dx.doi.org/10.1103/PhysRevE.108.054605 | DOI Listing |
Phys Rev E
July 2025
Johns Hopkins University, Department of Mechanical Engineering, Baltimore, Maryland 21218, USA.
Recent studies have established correlations between nonaffine motion and macroscopic stress fluctuations in sheared granular media. However, a comprehensive examination of the relationship between nonaffine motion, macroscopic stress fluctuations, and interparticle forces remains lacking. We investigated this interplay in simulations of two-dimensional granular media during stick-slip events under plane shear.
View Article and Find Full Text PDFJ Chem Phys
June 2025
Department of Physics "A. Pontremoli, " University of Milan, via Celoria 16, 20133 Milan, Italy.
Viscosity, a fundamental transport and rheological property of liquids, quantifies the resistance to relative motion between molecular layers and plays a critical role in understanding material behavior. Conventional methods, such as the Green-Kubo (GK) approach, rely on time integration of correlation functions, which becomes computationally intensive near the glass transition due to slow correlation decay. A recently proposed method based on non-affine lattice dynamics (NALD) and instantaneous normal mode analysis offers a promising alternative for estimating the viscosity.
View Article and Find Full Text PDFPhys Rev E
April 2025
Emory University, Department of Physics, Atlanta, Georgia 30322, USA.
We study the particle-scale motion of highly polydisperse hard disks flowing in a two-dimensional bent channel. We use various size distributions of particles, in which the largest particles are up to five times larger than the smallest. The disks are pushed through an L-shaped channel to drive the particle rearrangements.
View Article and Find Full Text PDFSoft Matter
March 2025
Paul M. Rady Department of Mechanical Engineering, University of Colorado, Boulder, USA.
This paper presents a computational model designed to capture the mechanical behavior of entangled polymer networks, described by dynamic and slideable cross-linking junctions. The model adopts a network-level approach, where the polymer chains between junctions are represented by segments exhibiting entropic elasticity, and the sliding of chains through entanglements is governed by a frictional law. Additionally, the model incorporates stochastic processes for the creation and depletion of entanglement junctions, dynamically coupled with sliding mechanics.
View Article and Find Full Text PDFJ Phys Chem B
January 2025
JST-PRESTO, and Department of Materials Physics, Graduate School of Engineering, Nagoya University, Furo-cho, Chikusa, Nagoya 464-8603, Japan.
We propose a highly coarse-grained simulation model for crystalline polymer solids with lamellar structures. The mechanical properties of a crystalline polymer solid are mainly determined by the crystalline lamellar structures. This means that coarse-grained models rather than fine-scale molecular models are suitable to study the mechanical properties.
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