Structural Engineering and Mechanics

  • 제72권4호
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  • Pages.469-477
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  • 2019
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  • 1225-4568(pISSN)
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  • 1598-6217(eISSN)
테크노프레스 (Techno-Press)
권호 표지
DOI QR코드

DOI QR Code

Bonded-cluster simulation of tool-rock interaction using advanced discrete element method

  • Liu, Weiji (School of Mechatronic Engineering, Southwest Petroleum University) ;
  • Zhu, Xiaohua (School of Mechatronic Engineering, Southwest Petroleum University) ;
  • Zhou, Yunlai (Department of Civil and Environmental Engineering, National University of Singapore) ;
  • Li, Tao (School of Civil Engineering and Architecture, Wuhan University of Technology) ;
  • Zhang, Xiangning (State Key laboratory of Mechanical Transmissions, Chongqing University)
  • 투고 : 2019.03.18
  • 심사 : 2019.07.04
  • 발행 : 2019.11.25
⟨ 이전 논문 다음 논문 ⟩

초록

The understanding of tool-rock interaction mechanism is of high essence for improving the rock breaking efficiency and optimizing the drilling parameters in mechanical rock breaking. In this study, the tool-rock interaction models of indentation and cutting are carried out by employing the discrete element method (DEM) to examine the rock failure modes of various brittleness rocks and critical indentation and cutting depths of the ductile to brittle failure mode transition. The results show that the cluster size and inter-cluster to intra-cluster bond strength ratio are the key factors which influence the UCS magnitude and the UCS to BTS ratio. The UCS to BTS strength ratio can be increased to a more realistic value using clustered rock model so that the characteristics of real rocks can be better represented. The critical indentation and cutting depth decrease with the brittleness of rock increases and the decreasing rate reduces dramatically against the brittleness value. This effort may lead to a better understanding of rock breaking mechanisms in mechanical excavation, and may contribute to the improvement in the design of rock excavation machines and the related parameters determination.

키워드

과제정보

연구 과제 주관 기관 : China Postdoctoral Science Foundation, SWPU, National Natural Science Foundation of China

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