2022
DOI: 10.1029/2021gl096677
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Numerical Insight Into Energy Partitioning During Stick‐Slip Events Based on the Framework of Rate‐and‐State Friction Law

Abstract: Many attempts have been made to investigate the energy budgets of stick‐slip events, however, the strain energy contribution is still poorly understood. We developed a discrete element method (DEM)‐based method to mimic stick‐slip events and the associated energy partitioning. We found that stress drop Δσ, breakdown energy EG, and strain energy release ΔU scale with slip δc as normalΔσ0.25em∝δc1.1 ${\Delta}\sigma \,\propto {\delta }_{c}^{1.1}$, EG∝δc2.05 ${E}_{G}\propto {\delta }_{c}^{2.05}$, and normalΔU∝δc2.… Show more

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Cited by 9 publications
(1 citation statement)
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“…The bond’s macro strength depends on three microparameters: tensile strength (σ̅ t ), cohesion ( c ), and friction angle (ϕ). These parameters can be determined through conventional uniaxial compression tests in the simulation using a trail-and-error strategy, as discussed in detail in previous studies. The numerical simulations of uniaxial compression, along with the optimization of microparameter combinations, ensure high consistency in the simulation of the deformation characteristics (elastic modulus, Poisson’s ratio) and strength properties (uniaxial compressive strength) of the coal sample. This consistency guarantees that the numerical model is convincing.…”
Section: Numerical Methodologymentioning
confidence: 99%
“…The bond’s macro strength depends on three microparameters: tensile strength (σ̅ t ), cohesion ( c ), and friction angle (ϕ). These parameters can be determined through conventional uniaxial compression tests in the simulation using a trail-and-error strategy, as discussed in detail in previous studies. The numerical simulations of uniaxial compression, along with the optimization of microparameter combinations, ensure high consistency in the simulation of the deformation characteristics (elastic modulus, Poisson’s ratio) and strength properties (uniaxial compressive strength) of the coal sample. This consistency guarantees that the numerical model is convincing.…”
Section: Numerical Methodologymentioning
confidence: 99%