Microphysically Derived Expressions for Rate-and-State Friction Parameters, a , b , and D c Journal of Geophysical Research: Solid Earth
Microphysically Derived Expressions for Rate-and-State Friction Parameters, a , b , and D c Journal of Geophysical Research: Solid Earth
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Rate-and-state friction (RSF) laws are extensively applied in fault mechanics but have a largely empirical basis re fl ecting only limited understanding of the underlying physical mechanisms. We recently proposed a microphysical model describing the frictional behavior of a granular fault gouge undergoing deformation in terms of granular fl ow accompanied by thermally activated creep and intergranular sliding at grain contacts. Numerical solutions reproduced typical experimental results well. Here we extend our model to obtain physically meaningful, analytical expressions for the steady state frictional strength and standard RSF parameters, a , b , and D c . The frictional strength contains two components, namely, grain boundary friction and friction due to intergranular dilatation. The expressions obtained for a and b linearly re fl ect the rate dependence of these two terms. D c scales with slip band thickness and varies only slightly with velocity. The values of a , b , and D c predicted show quantitative agreement with previous experimental results, and inserting their values into classical RSF laws gives simulated friction behavior that is consistent with the predictions of our numerically implemented model for small departures from steady state. For large velocity steps, the model produces mixed RSF behavior that falls between the Slowness and Slip laws, for example, with an intermediate equivalent slip(-weakening) distance d 0 . Our model possesses the interesting property not only that a and b are velocity dependent but also that D c and d 0 scale differently from classical RSF models, potentially explaining behaviour seen in many hydrothermal friction experiments and having substantial implications for natural fault friction. the predictions from the CNS model for small departures from steady state. The predicted scaling law for D c is in-line with previous lab experiments and geophysical observations in natural faults, potentially explaining the discrepancies between seismological and experimental observations. In a companion paper, we investigate the slip stability of the model, giving the microphysical interpretation of critical stiffness, which is consistent with the result calculated from K c = ( b (cid:1) a ) σ n / D c . All of these testify to the validity of the expressions obtained in the present study.