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Fractal characteristics of joint surface morphology of Pengshui shale and anisotropic characterization based on joint roughness coefficient
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Jia-bin DONG1, 2, Yi-fang LU1, Yi JIN1, 2, 3, Wen-hao DONG1, Peng HOU4, Shun-xi LIU1, Ran NIU5
Rock and Soil Mechanics | 2025, 46(11) : 3549 - 3561
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Rock and Soil Mechanics | 2025, 46(11): 3549-3561
Fundamental Theory and Experimental Research
Fractal characteristics of joint surface morphology of Pengshui shale and anisotropic characterization based on joint roughness coefficient
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Jia-bin DONG1, 2, Yi-fang LU1, Yi JIN1, 2, 3, Wen-hao DONG1, Peng HOU4, Shun-xi LIU1, Ran NIU5
Affiliations
  • 1.School of Resources and Environment, Henan Polytechnic University, Jiaozuo, Henan 454003, China
  • 2.Henan Key Laboratory of Coal Measure Unconventional Resources Accumulation and Exploitation, Henan Polytechnic University, Jiaozuo, Henan 454003, China
  • 3.Collaborative Innovation Center of Coal Work Safety and Clean High Efficiency Utilization, Henan Polytechnic University, Jiaozuo, Henan 454003, China
  • 4.School of Civil Engineering, Wuhan University, Wuhan, Hubei 430072, China
  • 5.Henan Academy of Geology, Zhengzhou, Henan 450016, China
Published: 2025-11-14 doi: 10.16285/j.rsm.2024.00583
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Quantitative characterization of the anisotropy of rock joint roughness is crucial for evaluating joint mechanical properties. However, the complex structure of joint surfaces and the limitations of current analytical methods pose significant challenges to roughness calculation and anisotropy evaluation. This study focuses on shale from the Pengshui area in Chongqing, China, combining fractal topography theory and the joint roughness coefficient (JRC) to characterize the anisotropy of joint surfaces. Using a 3D laser scanner, the morphology of joint surfaces from shale samples fractured in different directions was captured. JRC and Fractal Dimension (D) of joint profiles were then calculated in various directions to compare joint surface anisotropy. The results indicate that: (1) JRC, which considers both fractal properties and amplitude characteristics of joint profiles, shows a stronger correlation with fracture orientation than D. Using the bedding plane of shale as a reference, a larger angle between the reference plane and the fracturing direction results in a higher JRC value for the joint surface. (2) The JRC values for a single joint surface can be approximated by an elliptical fit, with the area of the ellipse increasing as the angle between the rock bedding and the fracturing direction increases. This implies that when the fracturing direction is perpendicular to the bedding plane, the fracture surface is rougher. This research provides a reference for characterizing joint surface anisotropy and offers guidance for understanding the relationship between fracturing direction and joint surface roughness.

fractal topography  /  fractal dimension  /  fracture surface  /  roughness  /  anisotropy
Jia-bin DONG, Yi-fang LU, Yi JIN, Wen-hao DONG, Peng HOU, Shun-xi LIU, Ran NIU. Fractal characteristics of joint surface morphology of Pengshui shale and anisotropic characterization based on joint roughness coefficient[J]. Rock and Soil Mechanics, 2025 , 46 (11) : 3549 -3561 . DOI: 10.16285/j.rsm.2024.00583
  • National Natural Science foundation of China(42502167; 41972175)
  • Doctoral Foundation of Henan Polytechnic University(B2021-78)
  • Excellent Youth Foundation of Henan Scientific Committee(232300421025)
  • Fundamental Research Funds for the Universities of Henan Province(NSFRF220427)
Year 2025 volume 46 Issue 11
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Article Info
doi: 10.16285/j.rsm.2024.00583
  • Receive Date:2024-12-09
  • Online Date:2026-03-27
  • Published:2025-11-14
Article Data
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History
  • Received:2024-12-09
  • Accepted:2025-05-08
Funding
National Natural Science foundation of China(42502167; 41972175)
Doctoral Foundation of Henan Polytechnic University(B2021-78)
Excellent Youth Foundation of Henan Scientific Committee(232300421025)
Fundamental Research Funds for the Universities of Henan Province(NSFRF220427)
Affiliations
    1.School of Resources and Environment, Henan Polytechnic University, Jiaozuo, Henan 454003, China
    2.Henan Key Laboratory of Coal Measure Unconventional Resources Accumulation and Exploitation, Henan Polytechnic University, Jiaozuo, Henan 454003, China
    3.Collaborative Innovation Center of Coal Work Safety and Clean High Efficiency Utilization, Henan Polytechnic University, Jiaozuo, Henan 454003, China
    4.School of Civil Engineering, Wuhan University, Wuhan, Hubei 430072, China
    5.Henan Academy of Geology, Zhengzhou, Henan 450016, China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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