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Updated: Aug 3, 2025

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The Role of Fabric in Frictional Properties of Phyllosilicate-Rich Tectonic Faults
Published on: November 6, 2021
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A Discrete Elements Study of the Frictional Behavior of Fault Gouges
E Papachristos1, I Stefanou1, J Sulem2
1Nantes Université, Ecole Centrale Nantes, CNRS, Institut de Recherche en Génie Civil et Mécanique (GeM), UMR 6183 Nantes France.
Summary
Discrete element simulations reveal that mean particle size, not distribution or randomness, controls shear band formation in fault gouge. This finding aids in developing constitutive models for seismic zone rheology.
Area of Science:
- Geophysics
- Computational Rock Mechanics
- Tribology
Background:
- Fault gouge rheology is critical for understanding earthquake mechanics.
- Previous studies often simplify gouge particle characteristics and loading conditions.
- Simulating complex fault zone processes requires advanced computational methods.
Purpose of the Study:
- To investigate the frictional response of fault gouge under seismogenic zone conditions.
- To explore the influence of particle size, polydispersity, and shearing velocity on gouge behavior.
- To identify key parameters controlling shear band formation and frictional evolution.
Main Methods:
- Discrete element simulations (DEM) were employed.
- Monte-Carlo analyses were used to assess statistical effects.
- Simulations considered ultra-cataclastic flow and consolidated loading conditions.
Main Results:
- Local stick-slip events diminish with large-scale averaging.
- Frictional response is largely insensitive to particle position randomness and size distribution.
- Mean particle size dictates shear band formation and thickness.
- Friction evolution follows an exponential decay law dependent on particle size and slip distance.
Conclusions:
- Mean particle size is a dominant factor in fault gouge frictional behavior and shear band development.
- Shearing velocity plays a minor role under studied seismogenic conditions.
- Findings inform constitutive model development for continuum-based fault modeling and multiphysics analyses.
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