Stress network dynamics influence on large particle segregation
Alexander J. Navarrete, Leonardo Gordillo, Tom\'as Trewhela

TL;DR
This study visualizes stress networks in granular flows to understand how force-chain dynamics influence particle segregation, especially focusing on squeeze expulsion mechanisms.
Contribution
It provides experimental evidence linking force network structures and stress transmission to particle segregation in shear-driven granular media.
Findings
Larger size ratios produce longer force chains.
Stress fluctuations influence intruder motion.
Force network dynamics are key to segregation mechanisms.
Abstract
A plethora of natural and industrial shear-driven granular flows exhibit particle-size segregation. Its occurrence is commonly attributed to two primary mechanisms: kinetic sieving and squeeze expulsion. While kinetic sieving is relatively well understood, squeeze expulsion lacks a clear mechanical explanation and direct experimental evidence due to difficulties in measuring stresses in granular media. Here, we investigate force networks around a large intruder in a bidimensional granular shear cell. We use transparent, birefringent disks to visualize stress chains via photoelasticity. Experiments were conducted with two different granular media to study force chains over size ratios between the intruder and surrounding particles of 1.25 to 4.0. Particle Tracking Velocimetry and G-square analysis are used to quantify particle trajectories and identify active grains. These methods enable…
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