Study of the shear-rate dependence of granular friction based on community detection

Yong Wen Zhang, Gao Ke Hu, Xiao Song Chen, Wei Chen, Wen Qi Liu

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

In this study, computer simulations are performed on three-dimensional granular systems under shear conditions. The system comprises granular particles that are confined between two rigid plates. The top plate is subjected to a normal force and driven by a shearing velocity. A positive shear-rate dependence of granular friction, known as velocity-strengthening, exists between the granular and shearing plate. To understand the origin of the dependence of frictional sliding, we treat the granular system as a complex network, where granular particles are nodes and normal contact forces are weighted edges used to obtain insight into the interiors of granular matter. Community structures within granular property networks are detected under different shearing velocities in the steady state. Community parameters, such as the size of the largest cluster and average size of clusters, show significant monotonous trends in shearing velocity associated with the shear-rate dependence of granular friction. Then, we apply an instantaneous change in shearing velocity. A dramatic increase in friction is observed with a change in shearing velocity in the non-steady state. The community structures in the non-steady state are different from those in the steady state. Results indicate that the largest cluster is a key factor affecting the friction between the granular and shearing plate.

Original languageEnglish
Article number40511
JournalScience China: Physics, Mechanics and Astronomy
Volume62
Issue number4
DOIs
StatePublished - 1 Apr 2019
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2018, Science China Press and Springer-Verlag GmbH Germany, part of Springer Nature.

Funding

This work was supported by the National Natural Science Foundation of China (Grant Nos. 61573173, and 11504384) and the Key Research Program of Frontier Sciences, Chinese Academy Sciences (Grant No. QYZD-SSW-SYS019). YongWen Zhang thanks the postdoctoral fellowship program funded by the Kunming University of Science and Technology. We also acknowledge the computational resources provided by HPC Cluster of ITP-CAS.

FundersFunder number
Key Research Program of Frontier Sciences, Chinese Academy Sciences
National Natural Science Foundation of China61573173, 11504384
Kunming University of Science and Technology

    Keywords

    • community detection
    • friction
    • granular
    • shear-rate

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