Spiral Sampling Method for Quantitative Estimates of Joint Roughness Coefficient of Rock Fractures

被引:4
|
作者
Li, Yanrong [1 ]
Mo, Ping [1 ]
Aydin, Adnan [2 ]
Zhang, Xinjun [1 ]
机构
[1] Taiyuan Univ Technol, Dept Earth Sci & Engn, 79 Yingze W St, Taiyuan 030024, Shanxi, Peoples R China
[2] Univ Mississippi, Dept Geol & Geol Engn, 120-A Carrier Hall,POB 1848, University, MS 38677 USA
来源
GEOTECHNICAL TESTING JOURNAL | 2019年 / 42卷 / 01期
关键词
rock joint roughness; roughness profiling; spiral sampling; peak shear strength; FRACTAL DIMENSION;
D O I
10.1520/GTJ20170213
中图分类号
P5 [地质学];
学科分类号
0709 ; 081803 ;
摘要
Representative sampling of surface roughness is essential for reliable and consistent estimates of joint roughness coefficients (JRCs) by quantitative formulations. The most commonly used sampling method is the straight-line profiling along a predetermined shear direction. Because of anisotropy and nonuniform distribution of roughness features on natural joint surfaces, this method may work well only when the potential shear direction is known or can be predicted. However, there are no guidelines for the density of parallel straight-line profiles and how these can be synthesized into a representative profile. This article presents a spiral sampling method that addresses the shortcomings of the straight-line method. The roughness parameters derived from the spiral scanlines are closely correlated with the JRC values back-calculated from direct shear tests.
引用
收藏
页码:245 / 255
页数:11
相关论文
共 50 条
  • [31] Estimating the Joint Roughness Coefficient of Rock Joints from Translational Overlapping Statistical Parameters
    Xige Liu
    Wancheng Zhu
    Qinglei Yu
    Shijiang Chen
    Kai Guan
    Rock Mechanics and Rock Engineering, 2019, 52 : 753 - 769
  • [32] Determining of the Joint Roughness Coefficient (JRC) of Rock Discontinuities Based on the Theory of Random Fields
    Gravanis, Elias
    Pantelidis, Lysandros
    GEOSCIENCES, 2019, 9 (07)
  • [33] Precise description of rock joints' 3D superficial morphology and the quantitative determination of 3D joint roughness coefficient
    Li H.
    Zhang Z.
    Deng J.
    Wei W.
    1600, Academia Sinica (36): : 4066 - 4074
  • [34] Roughness Evaluation for Distinguishing Fresh and Sheared Rock Joint Surfaces with Different Sampling Intervals
    Zhang, Jintong
    Ogata, Sho
    Kishida, Kiyoshi
    INTERNATIONAL JOURNAL OF GEOMECHANICS, 2021, 21 (12)
  • [35] Influences of Roughness Sampling Interval and Anisotropy on Shear Failure Mechanism of Rock Joint Surface
    Chen, Fan
    Yu, Hongming
    Yang, Yilin
    Wu, Daoyong
    ENERGIES, 2021, 14 (21)
  • [36] Determining the maximum sampling interval in rock joint roughness measurements using Fourier series
    Yong, Rui
    Ye, Jun
    Li, Bo
    Du, Shi-Gui
    INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES, 2018, 101 : 78 - 88
  • [37] The Study on the Determination Method of 3D Joint Roughness Coefficient
    Li, Hua
    Huang, Runqiu
    Xu, Xiangtao
    Xiao, Janguo
    Zhong, Xingrong
    ENGINEERING GEOLOGY FOR SOCIETY AND TERRITORY, VOL 2: LANDSLIDE PROCESSES, 2015, : 1995 - 1999
  • [38] New 2D roughness parameters with geometric and physical meanings for rock joints and their correlation with joint roughness coefficient
    He, Cheng
    Tang, Huiming
    Fang, Kun
    Sun, Sixuan
    FRONTIERS IN EARTH SCIENCE, 2024, 12
  • [39] A new approach for quantifying the two-dimensional joint roughness coefficient (JRC) of rock joints
    Yuan Wei
    Liu Sifan
    Tan Hanhua
    Niu Jiandong
    Jiang Zhiling
    Li Xilai
    Peng Shu
    Xue Yanyu
    Wang Wei
    Sun Xiaoyun
    Environmental Earth Sciences, 2021, 80
  • [40] Shear stress relaxation behavior of rock discontinuities with different joint roughness coefficient and stress histories
    Wang, Zhen
    Gu, Linlin
    Shen, Mingrong
    Zhang, Feng
    Zhang, Guokai
    Wang, Xiao
    JOURNAL OF STRUCTURAL GEOLOGY, 2019, 126 : 272 - 285