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Author:

Lu, Dechun (Lu, Dechun.) (Scholars:路德春) | Dong, Hongyu (Dong, Hongyu.) | Lin, Qingtao (Lin, Qingtao.) | Guo, Caixia (Guo, Caixia.) | Gao, Zhiwei (Gao, Zhiwei.) | Du, Xiuli (Du, Xiuli.)

Indexed by:

EI Scopus SCIE

Abstract:

The failure location identification of granular materials can be solved by capturing the deformation localization. Considering the relative translation and rotation among particles, a new concept named the relative particle motion (RPM) is proposed to describe the deformation localization of the granular materials. An approach is developed to realize the selection of particles that are used to calculate RPM. The number of particles involved in RPM calculation is controlled by two key parameters, i.e., grid spacing (U) and domain radius (R). Combining the proposed concept and the selection approach of particles, the method that can capture the region of the deformation localization in the granular material is established and implemented in PFC2D.The simulation of a uniaxial compression test is conducted to analyze the effect of parameters U and R on the calculation results of the RPM field, and a reasonable range of U and R is given. Three typical conditions, including the biaxial compression, trapdoor, and particle flow tests, are taken as examples to validate the proposed method under different loading conditions. Regions of the deformation localization characterized by RPM have a good agreement with the shear band presented in the published literature.

Keyword:

Granular material Relative particle motion Failure evolution DEM Deformation localization

Author Community:

  • [ 1 ] [Lu, Dechun]Beijing Univ Technol, Inst Geotech & Underground Engn, Beijing 100124, Peoples R China
  • [ 2 ] [Dong, Hongyu]Beijing Univ Technol, Inst Geotech & Underground Engn, Beijing 100124, Peoples R China
  • [ 3 ] [Lin, Qingtao]Beijing Univ Technol, Inst Geotech & Underground Engn, Beijing 100124, Peoples R China
  • [ 4 ] [Guo, Caixia]Beijing Univ Technol, Inst Geotech & Underground Engn, Beijing 100124, Peoples R China
  • [ 5 ] [Du, Xiuli]Beijing Univ Technol, Inst Geotech & Underground Engn, Beijing 100124, Peoples R China
  • [ 6 ] [Lin, Qingtao]Tsinghua Univ, Sch Civil Engn, Dept Civil Engn, Beijing 100062, Peoples R China
  • [ 7 ] [Gao, Zhiwei]Univ Glasgow, James Watt Sch Engn, Glasgow G12 8QQ, Scotland

Reprint Author's Address:

  • [Lin, Qingtao]Beijing Univ Technol, Inst Geotech & Underground Engn, Beijing 100124, Peoples R China;;

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Source :

COMPUTERS AND GEOTECHNICS

ISSN: 0266-352X

Year: 2023

Volume: 156

5 . 3 0 0

JCR@2022

ESI Discipline: COMPUTER SCIENCE;

ESI HC Threshold:19

Cited Count:

WoS CC Cited Count: 4

SCOPUS Cited Count: 6

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 4

Affiliated Colleges:

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