Correlation between the surfaces of natural rock joints

1986 ◽  
Vol 13 (13) ◽  
pp. 1430-1433 ◽  
Author(s):  
Stephen R. Brown ◽  
Robert L. Kranz ◽  
Brian P. Bonner
Keyword(s):  
Rock Joints ◽  
Natural Rock

scholarly journals Class Ratio Transform with an Application to Describing the Roughness Anisotropy of Natural Rock Joints

2020 ◽  
Vol 2020 ◽  
pp. 1-14
Author(s):  
Rui Yong ◽  
Lei Huang ◽  
Qinkuan Hou ◽  
Shigui Du
Keyword(s):  
Roughness Parameter ◽  
Rock Joints ◽  
Anisotropic Model ◽  
Roughness Parameters ◽  
Transform Method ◽  
Smooth Coefficient ◽  
Natural Rock ◽  
Smoothing Process ◽  
Regular Roughness ◽  
Parameter Values

In this study, we explore the potential of class ratio transform with an application to describing the roughness anisotropy of natural rock joints. Roughness smooth coefficient, used for suitably smoothing the roughness parameter values to realize an anisotropic model, is proposed to represent the apparent anisotropy of surface roughness. The geometric irregularities of roughness parameters in polar plots allow transforming to a regular roughness asperity pattern, which can be readily approximated by the ellipse function. The joint roughness coefficients in different orientations of natural rock joints were measured and revealed to be identical after applying the smoothing process using the class ratio transform method. The results show that the roughness smooth coefficient increases with sample size but decreases as azimuthal interval narrows. This method demonstrates the ability in describing the roughness anisotropy and inferring the roughness parameters Z2, Rp, and θmax∗/C+12 D.

scholarly journals Scale Dependence of Waviness and Unevenness of Natural Rock Joints through Fractal Analysis

Geofluids ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-18
Author(s):  
Yingchun Li ◽  
Shengyue Sun ◽  
Hongwei Yang
Keyword(s):  
Surface Roughness ◽  
Rock Joint ◽  
Fractal Dimensions ◽  
Window Size ◽  
Scale Dependence ◽  
Rock Joints ◽  
Joint Surface ◽  
Triangular Prism ◽  
Natural Rock ◽  
Waviness And Unevenness

The scale dependence of surface roughness is critical in characterising the hydromechanical properties of field-scale rock joints but is still not well understood, particularly when different orders of roughness are considered. We experimentally reveal the scale dependence of two-order roughness, i.e., waviness and unevenness through fractal parameters using the triangular prism surface area method (TPM). The surfaces of three natural joints of granite with the same dimension of 1000 mm×1000 mm are digitised using a 3D laser scanner at three different measurement resolutions. Waviness and unevenness are quantitatively separated by considering the area variation of joint surface as grid size changes. The corresponding fractal dimensions of waviness and unevenness in sampling window sizes ranging from 100 mm×100 mm to 1000 mm×1000 mm at an interval of 100 mm×100 mm are determined. We find that both the fractal dimensions of waviness and unevenness vary as the window size increases. No obvious stationarity threshold has been found for the three rock joint samples, indicating the surface roughness of natural rock joints should be quantified at the scale of the rock mass in the field.

Direct Shear Strength of Natural Rock Joints

2021 ◽  
pp. 483-494
Author(s):  
Sandeep Bhardwaj ◽  
K. Seshagiri Rao
Keyword(s):  
Shear Strength ◽  
Rock Joints ◽  
Direct Shear ◽  
Natural Rock

Reverse modelling of natural rock joints using 3D scanning and 3D printing

2016 ◽  
Vol 73 ◽  
pp. 210-220 ◽  
Author(s):  
Quan Jiang ◽  
Xiating Feng ◽  
Yanhua Gong ◽  
Leibo Song ◽  
Shuguang Ran ◽  
...  
Keyword(s):  
3D Printing ◽  
3D Scanning ◽  
Rock Joints ◽  
Natural Rock

Shear Failure Mechanism of Infilling Rock Joints and its PFC Simulation

2015 ◽  
Vol 723 ◽  
pp. 317-321 ◽  
Author(s):  
Lei Xu ◽  
Qing Wen Ren
Keyword(s):  
Failure Mechanism ◽  
Shear Test ◽  
Shear Failure ◽  
Failure Process ◽  
Rock Joint ◽  
Rock Joints ◽  
Particle Flow Code ◽  
Rock Masses ◽  
Natural Rock ◽  
Simulation Results

Infilling rock joints widely exist in natural rock masses, and the shear failure of infilling rock joints plays an important role in the instability of rock masses. In order to study the shear failure mechanism of infilling rock joints, Particle Flow Code is used to simulate the direct shear test of infilling rock joints. The PFC models with different infilling thickness are established firstly, and then the procedures of PFC simulation are described. In the end, the shear failure process of infilling rock joints with different infilling thickness is simulated. Based on the PFC simulation results, it can be concluded that the shear failure mode changes with increasing infilling thickness, and the shearing of the infilling rock joint rarely gives birth to microcracks in rock due to the existence of the infilling material.

scholarly journals Neutrosophic Function with NNs for Analyzing and Expressing Anisotropy Characteristic and Scale Effect of Joint Surface Roughness

2019 ◽  
Vol 2019 ◽  
pp. 1-11 ◽  
Author(s):  
Rui Yong ◽  
Leiyu Gu ◽  
Jun Ye ◽  
Shi-Gui Du ◽  
Man Huang ◽  
...  
Keyword(s):  
Surface Roughness ◽  
Scale Effect ◽  
Large Scale ◽  
Rock Joint ◽  
Rock Joints ◽  
Joint Surface ◽  
Roughness Coefficient ◽  
Statistical Assessment ◽  
Natural Rock

The shear behavior of rock mass significantly depends upon the surface roughness of rock joints which is generally characterized by the anisotropy characteristic and the scale effect. The large-scale natural rock joint surfaces, at Qingshi Town, southeast of Changshan County, Zhejiang Province, China, were used as a case study to analyze the roughness characteristics. A statistical assessment of joint roughness coefficient (JRC) indicated the roughness anisotropy of different sized rock joints. The lower limit (JRCmean-σ) was regarded as the determinate information, and the difference between lower and upper limits represented indeterminate information. The neutrosophic number (NN) was calculated to express the various JRC values. The parametric equations for JRC anisotropic ellipse were presented based on the JRC statistical assessment of joint profiles of various orientations. The JRC values of different sized joint samples were then quantitatively described by the neutrosophic function. Finally, a neutrosophic parameter ψ for evaluating the scale effect on the surface roughness anisotropy was introduced using the ratio of maximum directional roughness to minimum directional roughness. The case study indicates that the proposed method has the superiority in moving forward from subjective assessment to quantitative and objective analysis on anisotropy characteristic and scale effect of joint surface roughness.

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