Adhesion clusters under shared linear loading: a stochastic analysis
T. Erdmann, U. S. Schwarz (MPI Colloids, Interfaces, Germany)

TL;DR
This paper analyzes how multiple adhesion bonds rupture cooperatively under shared linear load, revealing different scaling regimes and the impact of rebinding on rupture dynamics through stochastic modeling and simulations.
Contribution
It introduces a stochastic analysis of adhesion cluster rupture under shared load, identifying new scaling laws and the effects of rebinding on rupture behavior.
Findings
Force-accelerated rupture is abrupt.
Large fluctuations occur in rupture timing for small clusters and slow loading.
Three scaling regimes for cluster lifetime were confirmed for vanishing rebinding.
Abstract
We study the cooperative rupture of multiple adhesion bonds under shared linear loading. Simulations of the appropriate Master equation are compared with numerical integration of a rate equation for the mean number of bonds and its scaling analysis. In general, force-accelerated rupture is rather abrupt. For small clusters and slow loading, large fluctuations occur regarding the timepoint of final rupture, but not the typical shape of the rupture trajectory. For vanishing rebinding, our numerical results confirm three scaling regimes predicted before for cluster lifetime as a function of loading rate. For finite rebinding, the intermediate loading regime becomes irrelevant, and a sequence of two new scaling laws can be identified in the slow loading regime.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
