EGU23-6517
https://doi.org/10.5194/egusphere-egu23-6517
EGU General Assembly 2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

On-fault damage evolution in laboratory earthquakes: a numerical perspective on fault complexity

Guilhem Mollon1, Jérôme Aubry2, and Alexandre Schubnel2
Guilhem Mollon et al.
  • 1Université de Lyon, INSA Lyon, CNRS, LaMCoS, UMR5259, 69621 Villeurbanne, France (guilhem.mollon@insa-lyon.fr)
  • 2Laboratoire de Géologie, École Normale Supérieure/CNRS UMR 8538, PSL University, 24 Rue Lhomond, F-75005 Paris, France

We propose a numerical model of laboratory earthquake cycle inspired by a set of experiments performed on a triaxial apparatus on sawcut Carrara marble samples. The model couples two representations of rock matter: rock is essentially represented as an elastic continuum, except in the vicinity of the sliding interface, where a discrete representation is employed. This allows to simulate in a single framework the storage and release of strain energy in the bulk of the sample and in the loading system, the damage of rock due to sliding, and the progressive production of a granular gouge layer in the interface. After independent calibration, we find that the tribosystem spontaneously evolves towards a stick-slip sliding regime, mimicking in a satisfactory way the behaviour observed in the lab. The model offers insights on complex phenomena which are out of reach in experiments. This includes the variability in space and time of the fields of stress and effective friction along the fault, the progressive thickening of the damaged region of rock around the interface, and the build-up of a granular layer of gouge accommodating shear. We present in detail several typical sliding events, we illustrate the fault heterogeneity, and we analyse quantitatively the damage rate in the numerical samples.

How to cite: Mollon, G., Aubry, J., and Schubnel, A.: On-fault damage evolution in laboratory earthquakes: a numerical perspective on fault complexity, EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-6517, https://doi.org/10.5194/egusphere-egu23-6517, 2023.