Statistical aspects of interface adhesion and detachment of hierarchically patterned structures: dataset

Data from:

N. Esfandiary, M. Zaiser, P. Moretti: Statistical aspects of interface adhesion and detachment of hierarchically patterned structures (2022) Journal of Statistical Mechanics: Theory and Experiment 023301,
https://doi.org/10.1088/1742-5468/ac52a4

Abstract:

We introduce a three dimensional model for interface failure of hierarchical materials adhering to heterogeneous substrates. We find that the hierarchical structure induces scale invariant detachment patterns, which in the limit of low interface disorder prevent interface failure by crack propagation ('detachment fronts'). In the opposite limit of high interface disorder, hierarchical patterns ensure enhanced work of failure as compared to reference non-hierarchical structures. While the study of hierarchical adhesion is motivated by examples of fibrous materials of biological interest, our results indicate that hierarchical patterns can be useful in engineering scenarios in view of tuning and optimizing adhesion properties.

Contact:

Paolo Moretti
Institute of Materials Simulation
Friedrich-Alexander-Universität Erlangen-Nürnberg
Dr.-Mack-Str. 77
90762 Fürth
Germany

File naming scheme:

hfn: hierarchical fuse network
rrn: random reference network

uni: uniform threshold distribution 
wei15: Weibull threshold distribution (shape factor 1.5)
wei4: Weibull threshold distribution (shape factor 4)
wei9: Weibull threshold distribution (shape factor 9)

s1: largest connected components
s2: 2nd largest connected components
iv: sample iv curve
envelope: envelope of iv (displacement control)