Quantitative prediction of effective toughness at random heterogeneous interfaces
Disordered Systems and Neural Networks
2014-02-18 v2 Statistical Mechanics
Abstract
The propagation of an adhesive crack through an anisotropic heterogeneous interface is considered. Tuning the local toughness distribution function and spatial correlation is numerically shown to induce a transition between weak to strong pinning conditions. While the macroscopic effective toughness is given by the mean local toughness in case of weak pinning, a systematic toughness enhancement is observed for strong pinning (the critical point of the depinning transition). A self-consistent approximation is shown to account very accurately for this evolution, without any free parameter.
Keywords
Cite
@article{arxiv.1212.3861,
title = {Quantitative prediction of effective toughness at random heterogeneous interfaces},
author = {Sylvain Patinet and Damien Vandembroucq and Stéphane Roux},
journal= {arXiv preprint arXiv:1212.3861},
year = {2014}
}