CAS OpenIR
Study of the shear-rate dependence of granular friction based on community detection
Zhang, YongWen1,2; Hu, GaoKe2,3; Chen, XiaoSong2,3; Chen, Wei4; Liu, WenQi1
2019-04-01
Source PublicationSCIENCE CHINA-PHYSICS MECHANICS & ASTRONOMY
ISSN1674-7348
Volume62Issue:4Pages:7
AbstractIn 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.
Keywordgranular shear-rate friction community detection
DOI10.1007/s11433-018-9295-2
Language英语
WOS KeywordNETWORKS ; DYNAMICS ; MEDIA
Funding ProjectNational Natural Science Foundation of China[61573173] ; National Natural Science Foundation of China[11504384] ; Key Research Program of Frontier Sciences, Chinese Academy Sciences[QYZD-SSW-SYS019] ; Kunming University of Science and Technology
WOS Research AreaPhysics
WOS SubjectPhysics, Multidisciplinary
Funding OrganizationNational Natural Science Foundation of China ; Key Research Program of Frontier Sciences, Chinese Academy Sciences ; Kunming University of Science and Technology
WOS IDWOS:000450954800001
PublisherSCIENCE PRESS
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ipe.ac.cn/handle/122111/26646
Collection中国科学院过程工程研究所
Corresponding AuthorChen, Wei; Liu, WenQi
Affiliation1.Kunming Univ Sci & Technol, Data Sci Res Ctr, Fac Sci, Kunming 650500, Yunnan, Peoples R China
2.Chinese Acad Sci, Inst Theoret Phys, CAS Key Lab Theoret Phys, Beijing 100190, Peoples R China
3.Univ Chinese Acad Sci, Sch Phys Sci, Beijing 100049, Peoples R China
4.Chinese Acad Sci, Inst Proc Engn, State Key Lab Multiphase Complex Syst, Beijing 100190, Peoples R China
Recommended Citation
GB/T 7714
Zhang, YongWen,Hu, GaoKe,Chen, XiaoSong,et al. Study of the shear-rate dependence of granular friction based on community detection[J]. SCIENCE CHINA-PHYSICS MECHANICS & ASTRONOMY,2019,62(4):7.
APA Zhang, YongWen,Hu, GaoKe,Chen, XiaoSong,Chen, Wei,&Liu, WenQi.(2019).Study of the shear-rate dependence of granular friction based on community detection.SCIENCE CHINA-PHYSICS MECHANICS & ASTRONOMY,62(4),7.
MLA Zhang, YongWen,et al."Study of the shear-rate dependence of granular friction based on community detection".SCIENCE CHINA-PHYSICS MECHANICS & ASTRONOMY 62.4(2019):7.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Zhang, YongWen]'s Articles
[Hu, GaoKe]'s Articles
[Chen, XiaoSong]'s Articles
Baidu academic
Similar articles in Baidu academic
[Zhang, YongWen]'s Articles
[Hu, GaoKe]'s Articles
[Chen, XiaoSong]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Zhang, YongWen]'s Articles
[Hu, GaoKe]'s Articles
[Chen, XiaoSong]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.