JOURNAL OF YANGTZE RIVER SCIENTIFIC RESEARCH INSTI ›› 2017, Vol. 34 ›› Issue (11): 72-76.DOI: 10.11988/ckyyb.20160678

• ROCK-SOIL ENGINEERING • Previous Articles     Next Articles

Dividing Structural Homogeneity of Rock Mass by Using Boreholes

WEI Xiang1,2, YANG Chun-he2,3, WANG Gui-bin3,CHEN Shi-wan2, HUO Liang4   

  1. 1.School of Civil Engineering and Architecture,Southwest Petroleum University, Chengdu 610500,China;
    2.State Key Laboratory of Coal Mine Disaster Dynamics and Control, Chongqing University, Chongqing 400044, China;
    3.State Key laboratory of Geomechanics and Geotechnical Engineering, Institute of Rock and Soil Mechanics of Chinese Academy of Sciences, Wuhan 430071, China;
    4. School of Earth Sciences, East China University of Technology, Nanchang 330013, China
  • Received:2016-07-04 Online:2017-11-01 Published:2017-11-19

Abstract: Structural homogeneity of rock mass is divided according to project features. In practice, we must choose influential elements of the project as the basis of dividing. In this article, a method integrating qualitative and quantitative approaches of dividing structural homogeneity of rock mass is put forward for researching the permeability of rock mass with boreholes for deep geological disposal of high-level radioactive waste. Research results revealed that fracture and alteration zone were not fully taken into account in the qualitative method based on mechanical causes of structural plane. On the other hand, in quantitative method such as Miller method, fracture width as a major factor affecting the permeability of rock mass was ignored. In conclusion, to combining qualitative and quantitative methods could achieve better results by taking into account more parameters of structural plane as well as more detailed dividing parts. The proposed method provides data support for subsequent network modeling and seepage calculation.

Key words: rock mass structure, dividing method for homogeneous area, mechanical causes, Miller method, combining qualitative and quantitative method

CLC Number: 

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