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Updated: Jul 13, 2026

An Analog Macroscopic Technique for Studying Molecular Hydrodynamic Processes in Dense Gases and Liquids
Published on: December 4, 2017
Velocity statistics in dissipative, dense granular media.
David J Bray1, Michael R Swift, P J King
1School of Physics and Astronomy, University of Nottingham, Nottingham NG7 2RD, United Kingdom.
We studied velocity distributions in driven granular media using a random-force model. Highly dissipative systems show exponential tails due to single particle dynamics in dilute regions.
Area of Science:
- Physics
- Materials Science
- Statistical Mechanics
Background:
- Granular materials exhibit complex behaviors under external forces.
- Understanding particle velocity distributions is key to predicting macroscopic properties.
Purpose of the Study:
- Investigate velocity distributions in two-dimensional driven granular media.
- Analyze the influence of dissipation and packing fraction on these distributions.
- Explain the origin of exponential tails in highly dissipative systems.
Main Methods:
- Utilized a two-dimensional random-force model.
- Analyzed particle dynamics and velocity distributions.
- Developed a self-consistent kinetic theory.
Main Results:
- Velocity distribution shape depends on dissipation and packing fraction.
- Highly dissipative systems exhibit near-exponential velocity distribution tails.
- Exponential tails originate from single-particle dynamics in dilute regions under random forces.
Conclusions:
- The random-force model effectively describes velocity distributions in driven granular media.
- A self-consistent kinetic theory can explain the observed exponential tails.
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