The Prandtl-Tomlinson model of friction with stochastic driving

TL;DR

This paper extends the classical Prandtl-Tomlinson friction model by incorporating stochastic driving, analyzing how it alters the force-velocity relationship near the critical force and deriving the critical exponent based on potential properties and stochastic scaling.

Contribution

It introduces a stochastic term into the Prandtl-Tomlinson model and analytically determines its impact on the force-velocity relation and critical exponent.

Findings

Stochastic driving modifies the force-velocity dependence near the critical point.

The critical exponent $eta$ depends on the potential's properties and the stochastic process's Hurst exponent.

Analytical expressions relate the stochastic properties to the frictional behavior.

Abstract

We consider the classical Prandtl-Tomlinson model of a particle moving on a corrugated potential, pulled by a spring. In the usual situation in which pulling acts at constant velocity $\dot\gamma$, the model displays an average friction force $\sigma$ that relates to $\dot\gamma$ (for small $\dot\gamma)$ as $\dot\gamma\sim (\sigma-\sigma_c)^\beta$, where $\sigma_c$ is a critical friction force. The possible values of $\beta$ are well known in terms of the analytical properties of the corrugated potential. We study here the situation in which the pulling has, in addition to the constant velocity term, a stochastic term of mechanical origin (i.e, the total driving is a function of $\dot\gamma t$). We analytically show how this term modifies the force-velocity dependence close to the critical force, and give the value of $\beta$ in terms of the analytical properties of the corrugation potential and the scaling properties of the stochastic driving, encoded in the value of its Hurst exponent.