Rock and Soil Mechanics ›› 2023, Vol. 44 ›› Issue (6): 1585-1592.doi: 10.16285/j.rsm.2022.6039

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Roughness characterization of rock fracture and its influence on fracture seepage characteristics

GAN Lei1, LIU Yu1, ZHANG Zong-liang1, 2, SHEN Zhen-zhong1, MA Hong-ying1   

  1. 1. College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing, Jiangsu 210098, China 2. Power Construction Corporation of China, Beijing 100048, China
  • Online:2023-06-20 Published:2023-09-12
  • About author:GAN Lei, male, born in 1987, PhD, Professor, mainly engaged in the teaching and research on the long-term operation and function improvement of water engineering.
  • Supported by:
    the National Natural Science Foundation of China (52179130) and the Natural Science Foundation of Jiangsu Province (BK20201312).

Abstract: Roughness of rock fracture has a significant influence on the seepage characteristics of fracture. The point cloud data of rock fracture surface was collected by three-dimensional (3D) optical scanning system. The joint roughness coefficient (JRC) and surface roughness ratio (Rs) were calculated by SURFER and GEOMAGIC STUDIO, and the quantitative relationship between JRC and Rs was established. The effects of JRC and Rs on the fracture seepage characteristics in limestone were investigated by conducting seepage tests under the coupling effect of stress, seepage and chemical interaction. The results show that JRC is a logarithmic function of Rs, with the R-squared (R2) of 0.912 8. The maximum relative error (MRE), mean absolute error (MAE) and root mean square error (RMSE) between the proposed characterization formula and seepage test results are 6.93%, 0.34 and 0.27, respectively. JRC shows quadratic function and logarithmic function with the seepage flow and permeability at stable period, respectively. The fitted relationships of Rs and each parameter are consistent with that of JRC. The larger JRC is, the smaller the seepage flow and permeability are. The values of JRC and Rs of the fracture surface increase under the coupling effect of HMC (hydrological- mechanical-chemical) three fields. The characterization method proposed in this study can be used to estimate the surface roughness of rock fracture. Meanwhile, the value of JRC can be applied to predict the seepage flow and the permeability at stable seepage period.

Key words: rock fracture, roughness, 3D scanning, joint roughness coefficient, seepage flow, permeability