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Updated: Jun 18, 2026

An Analog Macroscopic Technique for Studying Molecular Hydrodynamic Processes in Dense Gases and Liquids
Published on: December 4, 2017
A non-local rheology for dense granular flows.
Olivier Pouliquen1, Yoel Forterre
1Institut Universitaire des Systèmes Thermiques et Industriels, Centre National de la Recherche Scientifique UMR6595, Aix-Marseille Université, Marseille, France. olivier.pouliquen@univ-provence.fr
This study introduces a self-activated non-local theory for dense granular flows. The model captures how stress fluctuations trigger rearrangements, accurately predicting experimental observations across different flow regimes.
Area of Science:
- Physics
- Materials Science
- Fluid Dynamics
Background:
- Dense granular flows exhibit complex behaviors driven by particle rearrangements.
- Existing models often struggle to capture the non-local interactions and broad applicability across flow regimes.
Purpose of the Study:
- To propose a novel non-local theory for modeling dense granular flows.
- To describe particle rearrangements as a self-activated process triggered by stress fluctuations.
- To develop a constitutive law applicable from quasi-static to inertial regimes.
Main Methods:
- Developed a non-local theory describing granular flow rearrangements as a self-activated process.
- Formulated a constitutive law as an integral over the entire flow, relating shear rate to stress distribution.
- Incorporated finite rearrangement times to ensure applicability across different flow regimes.
Main Results:
- The proposed non-local theory successfully models dense granular flows.
- The model accurately predicts experimental observations in configurations like inclined planes and plane shear under gravity.
- The theory demonstrates applicability across quasi-static and inertial flow regimes.
Conclusions:
- The self-activated non-local theory provides a unified framework for dense granular flows.
- The model's ability to predict experimental data validates its approach.
- This work offers a new perspective on understanding and modeling granular material behavior.
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