On Aperture-Friction Networks

TL;DR

This paper introduces a model that captures the evolution of friction networks based on surface self-organization, analyzing curvature profiles and ridge-networks to relate network characteristics with acoustic signatures of frictional interfaces.

Contribution

It presents a novel network-based framework linking surface curvature, ridge-networks, and acoustic signals to understand frictional behavior.

Findings

Ridge-networks are formed through directed interactions of curvature maxima.

Network characteristics correlate with synthetic acoustic signatures.

Interactions of critical pairs change before and after frictional sliding.

Abstract

A model based on self-organizing nature of the surfaces is represented to capture the evolution of friction networks. Also, the curvatures of displacement fields are determined and critical curvature profiles are connected through links to form ridge-networks. To generate the ridge-networks, we consider the interactions of pairs though a directed network framework, namely, dilatancy (divergence) and deviotric components (vorticity) of local maxima of curvature profiles. The correlation of the characteristics of generated networks with synthetic acoustic signatures of frictional interface is postulated while the interactions of critical pairs before and after frictional sliding highlighted.