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Geotechnical and Geological Engineering

, Volume 36, Issue 2, pp 897–904 | Cite as

Analysis of Rock Damage Characteristics Based on Particle Discrete Element Model

  • Zhen-long Zhao
  • Xiao Wang
  • Zhi-jie WenEmail author
Original paper
  • 401 Downloads

Abstract

Rock is a heterogeneous medium that is composed of minerals of various sizes. Under the action of external loads, the generation, propagation and coalescence of microdefects in the rock mass determines the macroscopic deformation and fracture of rock. To understand the damage law of rock and to reveal the evolution of dynamic failure, a uniaxial compression model was established based on particle flow code. Acoustic emission and energy characteristics of rock damage were analyzed, and the damage constitutive models of rock were discussed. During rock uniaxial compression, acoustic-emission events undergo a relatively quiet, sudden increase and sharp decrease for three periods, which corresponds to the compaction and elastic deformation stage, yield stage and post-peak stage in the stress–strain curve. Before the yield stress is reached, the proportion of bond and strain energies is larger. Friction energy accounts for a small proportion of the total energy, and a reciprocal relationship exists between them. The constitutive model that is based on friction energy can better reflect the variation in stress and strain, then the constitutive model based on acoustic-emission parameters.

Keywords

Rock mass Damage evolution Acoustic emission Energy Constitutive model Particle flow code 

Notes

Acknowledgements

The authors would like to acknowledge the support of Innovation Fund of Science and Technology of Post-graduate of College of Mining and Safety Engineering, Shandong University of Science and Technology (No. KYKC17006); the National Natural Science Foundation of China (Nos. 51304126, 51304235); the Fok Ying Tung Education Foundation (No. 141046); the China Postdoctoral Science Foundation (No. 2013M541918); the State Key Laboratory of Open Funds (No. SKLGDUEK1520); the Shandong Province Natural Science Foundation (Nos. ZR2017PEE018, ZR2016EEB23); the State Key research Development Program of China (No. 2016YFC0600708-3). In addition, we also thank Liwen Bianji for editing the English text of a draft of this manuscript.

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.State Key Laboratory of Mining Disaster Prevention and Control Co-founded by Shandong Province and the Ministry of Science and TechnologyShandong University of Science and TechnologyQingdaoPeople’s Republic of China
  2. 2.School of Civil EngineeringSoutheast UniversityNanjingPeople’s Republic of China

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