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Edge betweenness centrality as a failure predictor in network models of structurally disordered materials

Mahshid Pournajar, Michael Zaiser, Paolo Moretti

2022Scientific Reports32 citationsDOIOpen Access PDF

Abstract

Network theoretical measures such as geodesic edge betweenness centrality (GEBC) have been proposed as failure predictors in network models of load-driven materials failure. Edge betweenness centrality ranks which links are significant, based on the fraction of shortest paths that pass through the links between network nodes. We study GEBC as a failure predictor for two-dimensional fuse network models of load transmission in structurally disordered materials. We analyze the evolution of edge betweenness centrality in the run-up to failure and the correlation between GEBC and failure propensity for both hierarchical and non-hierarchical networks exhibiting various degrees of disorder. We observe a non trivial relationship between GEBC and failure propensity, which suggests that the idea of GEBC as a useful failure predictor needs to be strongly qualified.

Topics & Concepts

Betweenness centralityCentralityEnhanced Data Rates for GSM EvolutionComputer scienceMathematicsArtificial intelligenceStatisticsComplex Network Analysis TechniquesSustainability and Ecological Systems AnalysisTheoretical and Computational Physics