Scientific Reports (Jul 2022)

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

  • Mahshid Pournajar,
  • Michael Zaiser,
  • Paolo Moretti

DOI
https://doi.org/10.1038/s41598-022-15842-y
Journal volume & issue
Vol. 12, no. 1
pp. 1 – 12

Abstract

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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.