Armouring of a Frictional Interface by Mechanical Noise

IF 1.3 3区 物理与天体物理 Q3 PHYSICS, MATHEMATICAL Journal of Statistical Physics Pub Date : 2024-10-19 DOI:10.1007/s10955-024-03339-z
Elisa El Sergany, Matthieu Wyart, Tom W. J. de Geus
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Abstract

A dry frictional interface loaded in shear often displays stick–slip. The amplitude of this cycle depends on the probability that a microscopic event nucleates a rupture and on the rate at which microscopic events are triggered. The latter is determined by the distribution of soft spots, P(x), which is the density of microscopic regions that yield if the shear load is increased by some amount x. In minimal models of a frictional interface—that include disorder, inertia and long-range elasticity—we discovered an ‘armouring’ mechanism by which the interface is greatly stabilised after a large slip event: P(x) then vanishes at small argument as \(P(x)\sim x^\theta \) (de Geus et al., Proc Natl Acad Sci USA 116(48):23977-23983, 2019. https://doi.org/10.1073/pnas.1906551116). The exponent \(\theta \) is non-zero only in the presence of inertia (otherwise \(\theta =0\)). It was found to depend on the statistics of the disorder in the model, a phenomenon that was not explained. Here, we show that a single-particle toy model with inertia and disorder captures the existence of a non-trivial exponent \(\theta >0\), which we can analytically relate to the statistics of the disorder.

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机械噪声对摩擦界面的铠装作用
在剪切力作用下的干摩擦界面经常出现粘滑现象。这一周期的振幅取决于微观事件引发断裂的概率以及微观事件的触发率。后者由软点的分布(P(x))决定,即当剪切载荷增加一定量 x 时屈服的微观区域的密度。在包括无序、惯性和长程弹性的摩擦界面最小模型中,我们发现了一种 "铠装 "机制,通过这种机制,界面在发生大的滑移事件后会变得非常稳定:P(x)会在小参数时消失,因为 \(P(x)\sim x^\theta \)(de Geus 等人,Proc Natl Acad Sci USA 116(48):23977-23983,2019 年。https://doi.org/10.1073/pnas.1906551116)。指数\(\theta \)只有在存在惯性的情况下才不为零(否则\(\theta =0\))。我们发现它取决于模型中的无序统计,这一现象没有得到解释。在这里,我们证明了一个具有惯性和无序的单粒子玩具模型捕捉到了一个非三维指数 \(\theta >0\) 的存在,我们可以通过分析把它与无序的统计联系起来。
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来源期刊
Journal of Statistical Physics
Journal of Statistical Physics 物理-物理:数学物理
CiteScore
3.10
自引率
12.50%
发文量
152
审稿时长
3-6 weeks
期刊介绍: The Journal of Statistical Physics publishes original and invited review papers in all areas of statistical physics as well as in related fields concerned with collective phenomena in physical systems.
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