›› 2017, Vol. 38 ›› Issue (S1): 70-78.doi: 10.16285/j.rsm.2017.S1.008

• Fundamental Theroy and Experimental Research • Previous Articles     Next Articles

Model of roughness discrete fractures network for uniaxial compressive test and its mechanical properties

WANG Pei-tao1, 2, REN Fen-hua1, 2, TAN Wen-hui1, 2, YAN Zhen-xiong1, 2, CAI Mei-feng1, 2, YANG Tian-hong3   

  1. 1. Key Laboratory of High-Efficient Mining and Safety of Metal Mines of Ministry of Education, University of Science and Technology Beijing, Beijing 100083, China; 2. School of Civil and Resources Engineering, University of Science and Technology Beijing, Beijing 100083, China; 3. Key Laboratory of Ministry of Education on Safe Mining of Deep Metal Mines, Northeastern University, Shenyang, Liaoning 110819, China
  • Received:2016-11-14 Online:2017-06-22 Published:2018-06-05
  • Supported by:

    This work was supported by National Nature Science Foundation of China (51604017, 11572344), the State Key Research Development Program of China(2016YFC801602, 2016YFC0600703), the Fundamental Research Funds for the Central Universities (FRF-TP-15-109A1), China Postdoctoral Science Foundation (2016M591079), and the National Science & Technology Support Project (2013BAB02B08).

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Abstract: A roughness discrete fractures network(RDFN) model is proposed considering the complex and roughness geometry distribution of discontinuities in jointed rock masses. The digital image processing technique is firstly used to generate RDFN images using Matlab code. Then a RDFN model based on particle flow code(PFC) is established and the corresponding mechanical behaviors under uniaxial compression, such as elasticity, strength and failure pattern, are studied and compared with the traditional linear discrete fractures network (DFN) model. The results show that the elastic modulus of RDFN model is lower than that of DFN model. The peak strength of RDFN model is higher, and residual strength is lower. Microcracks in DFN model mainly coincided along the linear joints and partial intact rocks are fractured. The failure pattern of RDFN model is, however relatively much more complex with more fractured intact rocks after peak strength.

Key words: jointed rock mass, roughness discrete fractures network, digital image processing, particle flow code (PFC), numerical simulation

CLC Number: 

  • TU 452

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