Surface roughness evolution and mechanical behavior of rock joints under shear

Kwafniewski, M.A.; Wang, J.A.

doi:10.1016/s1365-1609(97)00042-7

Cited by 25 publications

(4 citation statements)

References 4 publications

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“…The shear characteristic of rock fractures influenced by a large extent on several phenomena and many effective factors including wall strength and weathering state [ Barton , ; Bandis et al ., ], boundary conditions and normal stresses [ Haberfield and Johnston , ; Haberfield and Seidel , ; Haque , ; Jiang et al ., ; Leichnitz , ; Pereira and de Freitas , ; Saeb and Amadei , ; Seidel and Haberfield , ; Sun et al ., ], time [ Dieterich , ; Ruina , ], deformation history [ Babanouri et al ., ; Belem et al ., ; Boulon et al ., ; Chern et al ., ; Dowding et al ., ; Huang et al ., ], fracture geometry and roughness [ Archambault et al ., ; Barton , ; Barton et al ., ; Gentier et al ., ; Goodman , ; Grasselli et al ., ; Huang et al ., ; Karami and Stead , ; Kwafniewski and Wang , ; Lopez et al ., ; Park and Song , ; Zhang et al ., ; Zhao , ], shear direction [ Jing et al ., ], and scale [ Bandis et al .,1981; Barton and Bandis , ; Barton et al ., ]. From these, fracture geometry and surface roughness play a key role in the shear characteristic of rock fractures.…”

Section: Theory and Backgroundmentioning

confidence: 99%

Critical Reynolds number for nonlinear flow through rough-walled fractures: The role of shear processes

et al. 2014

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This paper experimentally investigates the role of shear processes on the variation of critical Reynolds number and nonlinear flow through rough-walled rock fractures. A quantitative criterion was developed to quantify the onset of nonlinear flow by comprehensive combination of Forchheimer's law and Reynolds number. At each shear displacement, several high-precision water flow tests were carried out with different hydraulic gradients then the critical Reynolds number was determined based on the developed criterion. The results show that (i) the Forchheimer's law was fitted very well to experimental results of nonlinear fluid flow through rough-walled fractures, (ii) the coefficients of viscous and inertial pressure drops experience 4 and 7 orders of magnitude reduction during shear displacement, respectively, and (iii) the critical Reynolds number varies from 0.001 to 25 and experiences 4 orders of magnitude enlargement by increasing shear displacement from 0 to 20 mm. These findings may prove useful in proper understanding of fluid flow through rock fractures, or inclusions in computational studies of large-scale nonlinear flow in fractured rocks.

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Section: Theory and Backgroundmentioning

confidence: 99%

Critical Reynolds number for nonlinear flow through rough-walled fractures: The role of shear processes

et al. 2014

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“…This change indicated that fracture surfaces became rougher and rougher. 40,41 Zhou et al 42 investigated the effect of freeze-thaw cycles on fractal dimensions of grain edges, and the results revealed that fractal dimensions approximately increased linearly with rising freeze-thaw cycles. This variation was ascribed to the growth of micro-cracks induced by spalling of grains.…”

Section: Specimenmentioning

confidence: 99%

On the decay of fracture toughness of sandstone subjected to freeze–thaw cycles

Wei,

Qiao,

et al. 2023

Fatigue Fract Eng Mat Struct

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In cold regions, progressive cracking, caused by freeze–thaw cycles, plays an important role in deteriorating engineering rock mass. Employing central cracked Brazilian disks (CCBDs) of sandstone, this paper aims at investigating the variations of falling rate among different modes of fracture toughness exposed to freeze–thaw cycles and the applicability of fracture criterion in predictions. Results revealed that different modes of fracture toughness exhibited comparable descending trends after varied freeze–thaw cycles. There was an agreement between the predictions via the generalized maximum tangential stress criterion (GMTS) and the test results. In specified conditions, the GMTS criterion incorporating fracture process zone of 0 freeze–thaw cycle can be applied to estimations for different freeze–thaw cycles. With increasing freeze–thaw cycles the fractal dimensions of mode I and mixed‐mode I–II fracture surfaces displayed a growing trend, indicating that the fracture surfaces became rougher and more complicated.

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“…The roughness of rock joints plays a crucial role in determining the mechanical behavior of rock masses, as the presence of roughness affects the contact area and distribution of stresses between adjacent rock segments, leading to variations in the strength, deformation, and stability of the rock mass [1][2][3][4][5]. Hence, accurately measuring joint roughness can help to identify potential failure mechanisms and to design effective protection measures [6,7].…”

Section: Introductionmentioning

confidence: 99%

Drone Photogrammetry for Accurate and Efficient Rock Joint Roughness Assessment on Steep and Inaccessible Slopes

Song,

Du,

Yong

et al. 2023

Remote Sensing

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The roughness of rock joints exerts a substantial influence on the mechanical behavior of rock masses. In order to identify potential failure mechanisms and to design effective protection measures, the accurate measurement of joint roughness is essential. Traditional methods, such as contact profilometry, laser scanning, and close-range photogrammetry, encounter difficulties when assessing steep and inaccessible slopes, thus hindering the safety and precision of data collection. This study aims to assess the feasibility of utilizing drone photogrammetry to quantify the roughness of rock joints on steep and inaccessible slopes. Field experiments were conducted, and the results were compared to those of 3D laser scanning in order to validate the approach’s procedural details, applicability, and measurement accuracy. Under a 3 m image capture distance using drone photogrammetry, the root mean square error of the multiscale model-to-model cloud comparison (M3C2) distance and the average roughness measurement error were less than 0.5 mm and 10%, respectively. The results demonstrate the feasibility and potential of drone photogrammetry for joint roughness measurement challenges, providing a useful tool for practitioners and researchers pursuing innovative solutions for assessing rock joint roughness on precipitous and hazardous slopes.

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Surface roughness evolution and mechanical behavior of rock joints under shear

Cited by 25 publications

References 4 publications

Critical Reynolds number for nonlinear flow through rough-walled fractures: The role of shear processes

Critical Reynolds number for nonlinear flow through rough-walled fractures: The role of shear processes

On the decay of fracture toughness of sandstone subjected to freeze–thaw cycles

Drone Photogrammetry for Accurate and Efficient Rock Joint Roughness Assessment on Steep and Inaccessible Slopes

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