社区检测预测剪切颗粒材料的失效
摘要：来源 stability of a granular material is a collective phenomenon controlled by individual particles through their interactions. forecasting when granular materials will undergo an abrupt failure is an ongoing challenge due to the intricate interactions between particles. here, we report experiments on photoelastic disks undergoing intermittent stick-slip dynamics in a quasi-2d annular shear apparatus, with the evolving network of contact forces made visible via polarized light. we characterize the system by interpreting the interparticle forces as a multilayer network, and apply genlouvin community detection to identify strongly correlated groups of particles. we observe that the community structure becomes increasingly volatile as the material approaches failure, and that this volatility provides a forecast that precedes what is detectable by considering the forces alone. we additionally observe that both weak and strong forces contribute to the strength of this forecast. these findings provide a new approach to detect patterns of causality and forecast impending failures.
作者：Farnaz Fazelpour and Vrinda D. Desai and Karen E. Daniels
论文ID：2307.07501
分类：Soft Condensed Matter
分类简称：cond-mat.soft
提交时间：2023-07-17