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在结构无序材料的网络模型中,边介数中心性作为一种失效预测指标。

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

作者信息

Pournajar Mahshid, Zaiser Michael, Moretti Paolo

机构信息

Department of Materials Science, WW8-Materials Simulation, Friedrich-Alexander Universität Erlangen-Nürnberg, Fürth, 90762, Germany.

出版信息

Sci Rep. 2022 Jul 12;12(1):11814. doi: 10.1038/s41598-022-15842-y.

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.

摘要

诸如测地线边缘介数中心性(GEBC)等网络理论测度已被提议作为负载驱动材料失效网络模型中的失效预测指标。边缘介数中心性根据网络节点之间链路的最短路径分数来对哪些链路是重要的进行排序。我们研究将GEBC作为结构无序材料中负载传输二维熔断器网络模型的失效预测指标。我们分析了失效前边缘介数中心性的演变,以及对于呈现不同程度无序的分层和非分层网络,GEBC与失效倾向之间的相关性。我们观察到GEBC与失效倾向之间存在一种非平凡的关系,这表明将GEBC作为一个有用的失效预测指标的观点需要得到严格限定。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b412/9276817/2fab9d842b30/41598_2022_15842_Fig1_HTML.jpg

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