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arXiv 2408.09433cond-mat.soft
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纯法向弹性粗糙表面接触界面间隙的随机过程模型

Stochastic process model for interfacial gap of purely normal elastic rough surface contact

Yang Xu, Junki Joe, Xiaobao Li, Yunong Zhou

AI总结:

针对纯法向弹性粗糙表面接触中缺乏界面间隙概率密度函数演化方程的问题,本研究基于随机过程理论推导对流-扩散方程并数值求解,高载荷下与GFMD等结果吻合,还可求解DMT极限粘着接触问题,提供了新的研究方法与统一框架。

摘要:

在纯法向弹性粗糙表面接触问题中,Persson接触理论表明接触压力概率密度函数(PDF)随放大倍数的演化由扩散方程控制,但目前尚无描述界面间隙PDF演化的偏微分方程。本研究基于随机过程理论,推导了界面间隙PDF对应的对流-扩散方程,以及相应的初始条件与边界条件。研究开发了有限差分法对该偏微分方程进行数值求解。在高载荷区间,模型预测的界面间隙PDF与格林函数分子动力学(GFMD)及Persson接触理论的其他变体结果吻合良好。在低载荷区间,本研究结果与GFMD存在明显偏差,原因在于本模型中高估了平均界面间隙,且采用了过于简化的随放大倍数变化的扩散系数。作为直接应用之一,研究表明本工作可有效求解DMT极限下的粘着接触问题。本研究为确定界面间隙PDF提供了一种替代方法,也为基于随机过程理论求解随机接触压力与随机界面间隙的互补问题提供了统一框架。

英文摘要:

In purely normal elastic rough surface contact problems, Persson's theory of contact shows that the evolution of the probability density function (PDF) of contact pressure with the magnification is governed by a diffusion equation. However, there is no partial differential equation describing the evolution of the PDF of the interfacial gap. In this study, we derive a convection--diffusion equation in terms of the PDF of the interfacial gap based on stochastic process theory, as well as the initial and boundary conditions. A finite difference method is developed to numerically solve the partial differential equation. The predicted PDF of the interfacial gap agrees well with that by Green's Function Molecular Dynamics (GFMD) and other variants of Persson's theory of contact at high load ranges. At low load ranges, the obvious deviation between the present work and GFMD is attributed to the overestimated mean interfacial gap and oversimplified magnification-dependent diffusion coefficient used in the present model. As one of its direct application, we show that the present work can effectively solve the adhesive contact problem under the DMT limit. The current study provides an alternative methodology for determining the PDF of the interfacial gap and a unified framework for solving the complementary problem of random contact pressure and random interfacial gap based on stochastic process theory.

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