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Cluster modeling of the short-range correlation of acoustically emitted scattering signals

International Journal of Coal Science & Technology 2021年第4期8卷 575-589页

作者： Dongjie Xue Lele Lu Jie Zhou Lan Lu Yintong Liu School of Mechanics and Civil Engineering China State Key Laboratory of Coal Mine Disaster Dynamics and Control Chongqing UniversityChongqing 400030China Key Laboratory of Safety and High-efficiency Coal Mining Anhui University of Science and TechnologyHuainan 232001China

As a widely used measurement technique in rock mechanics,spatial correlation modeling of acoustic emission(AE)scattering signals is attracting increasing focus for describing mechanical behavior *** the statistical description of the spatial distribution of randomly generated AE signals,spatial correlation modeling is based mainly on short-range correlation considering the interrelationship of adjacent *** a new idea from percolation models,the covering strategy is used to build the most representative cube cluster,which corresponds to the critical scale at peak *** modeling process of critical cube cluster depends strongly on the full connection of the main fracture network,and the corresponding cube for coverage is termed the critical *** criticality pertains to not only the transition of local-to-whole connection of the fracture network but also the increasing-to-decreasing transition of the deviatoric stress with an obvious stress drop in the brittle failure of *** a reasonable critical cube guarantees the best observation scale for investigating the failure ***,the topological connection induces the geometric criticality of three descriptors,namely anisotropy,pore fraction,and specific surface area,which are evaluated separately and *** results show that cluster modeling based on the critical cube is effective and has criticality in both topology and geometry,as well as the triaxial ***,the critical cube length presents a high confidence probability of being correlated to the mineral particle ***,its pore fraction of cube cluster is influenced strongly by the critical cube length and confining pressure.

关键词： Acoustic emission Spatial correlation modeling Cover strategy criticality critical cube Cluster modeling

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