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Related Experiment Video

Updated: Jun 29, 2026

Visualization of Failure and the Associated Grain-Scale Mechanical Behavior of Granular Soils under Shear using Synchrotron X-Ray Micro-Tomography

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Published on: September 29, 2019

Dynamics of dry granular avalanches.

Raphaël Fischer¹, Philippe Gondret, Bernard Perrin

¹Lab FAST, CNRS, Université Pierre et Marie Curie-Paris 6, Université Paris-Sud, Bâtiment 502, Campus Universitaire, F-91405 Orsay cedex, France.

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics

|October 15, 2008

Summary

Dry granular avalanches in a rotating drum show that the starting angle correlates to the ending angle, defining a neutral angle. Avalanche duration is linked to amplitude, with a simple model explaining these granular flow dynamics.

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Area of Science:

Physics of granular materials
Statistical mechanics
Fluid dynamics

Background:

Dry granular avalanches are complex phenomena.
Understanding their statistical properties is crucial for various applications.
Previous studies have focused on individual avalanche characteristics.

Purpose of the Study:

To analyze the statistical properties of dry granular avalanches.
To investigate the dynamics and time-dependent behavior of avalanches.
To develop a simple model explaining avalanche physics.

Main Methods:

Experimental analysis of granular avalanches in a rotating drum.
Statistical analysis of avalanche start and end angles.
Dynamic study of avalanche duration and amplitude.
Development and validation of a simple physical model.

Main Results:

A strong correlation was found between the starting and ending angles of avalanches.
An intermediate "neutral" angle characterizing the granular pile was identified.
Avalanche duration is inversely correlated with avalanche amplitude.
Pile slope relaxation during avalanches follows a master curve.

Conclusions:

The study elucidates key statistical and dynamic features of dry granular avalanches.
A simple model successfully reproduces experimental observations.
The findings contribute to a deeper understanding of granular flow physics.