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Automatic extraction method of force chain information and its application in the flow photoelastic experiment of granular matter

引用

Particuology 2023年第12期83卷 142-155页

作者： Qingfa Chen Enlin Long Wenjing Niu Jun Liu Wenyu Fan Hangyu Li School of Civil Engineering and Architecture Key Laboratory of Disaster Prevention and Structural Safety of Ministry of EducationGuangxi UniversityNanning530004China School of Resources Environment and MaterialsGuangxi UniversityNanning530004China

The force chain is the core of the multi-scale analysis of granular *** extracting the force chain information among particles is of great significance to the study of particle mechanics and geological hazards caused by particle ***,in the photoelastic experiment,the precise identification of the branching points of force chains has not been effectively ***,this study proposes an automatic extraction method of force chain key ***,based on the Hough transform and the Euclidean distance,a particle geometric information identification model is established and geometric information such as particle circle center coordinates,radius,contact point location,and contact angle is ***,a particle contact force information identification model is established following the color gradient mean square *** model realizes the rapid calibration and extraction of a large number of particle media contact force ***,combined with the force chain composition criterion and its quasilinear feature,an automatic extraction method of force chain information is established,which solves the problem of the accurate identification of the force chain branch ***,in the photoelastic experiment of ore drawing from a single drawpoint,the automatic extraction method of force chain information is *** results show that the macroscopic distribution of force chains during ore drawing from a single drawpoint is left–right *** force chains are mostly located on the two sides of the model but in small numbers and they mainly develop ***,the ends are mostly in a combination of Y and inverted Y shapes,while the middle is mostly *** force chains are abundant and mostly distributed in the middle of the model,and develop in different *** proposed extraction method accurately extracts the force chain network from the photoelastic experiment images and dynami

关键词： Granular matter Photoelastic experiment Digital image processing force chain extraction method

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