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Quantifying Tactile Perception of Fabrics Using Both Frictional and Acoustic Methods. [PDF]
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Construction and Building Materials, 2020
Abstract Correlation of the joint roughness coefficient (JRC) and various parameters for joint roughness evaluation was investigated in this study. A high-resolution 3D laser scanner was employed to precisely record roughness characteristics of 16 tensile fractured rock joints with different sizes.
Milad Abolfazli, Ahmad Fahimifar
exaly +3 more sources
Abstract Correlation of the joint roughness coefficient (JRC) and various parameters for joint roughness evaluation was investigated in this study. A high-resolution 3D laser scanner was employed to precisely record roughness characteristics of 16 tensile fractured rock joints with different sizes.
Milad Abolfazli, Ahmad Fahimifar
exaly +3 more sources
Determination of Joint Roughness Coefficients Using Roughness Parameters
Rock Mechanics and Rock Engineering, 2014This study used precisely digitized standard roughness profiles to determine roughness parameters such as statistical and 2D discontinuity roughness, and fractal dimensions. Our methods were based on the relationship between the joint roughness coefficient (JRC) values and roughness parameters calculated using power law equations.
Hyun-Sic Jang +2 more
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Measurement of joint roughness coefficient by using profilograph and roughness ruler
Journal of Earth Science (Wuhan, China), 2009Joint roughness coefficient (JRC) is the key parameter for the empirical estimation of joint shear strength by using the JRC-JCS (joint wall compressive strength) model. Because JRC has such characteristics as nonuniformity, anisotropy, and unhomogeneity, directional statistical measurement of JRC is the precondition for ensuring the reliability of the
Shigui Du, Yunjin Hu, Du Shigui
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Reassessing the Joint Roughness Coefficient (JRC) Estimation Using Z 2
國外紙本AU
Z. Y. Yang, S. C. Lo, C. C. Di
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Correlation of joint roughness coefficient and permeability of a fracture
Abstract This paper uses a new modeling approach to study fluid transport in an open fracture, which relies on data derived from scanned surfaces of fractures and considers surface variations and velocity Laplacians in two orthogonal directions and the bulk flow rotation.
S.M. Rezaei Niya, A.P.S. Selvadurai
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A new spectral analysis method for determining the joint roughness coefficient of rock joints
Abstract We propose a new spectral analysis method for accurate JRC determination. To do this, we first propose an average power index Pf to present the amplitude height of a rock joint profile, which considers both the low and high-frequency components of the profile. Secondly, the modified root mean square of the first deviation of the profile (
Changshuo Wang +2 more
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Geometrical heterogeneity of the joint roughness coefficient revealed by 3D laser scanning
Engineering Geology, 2020Abstract The joint roughness coefficient (JRC) is an important indicator that characterizes the physical and mechanical behaviors of a jointed rock mass. To investigate the distribution characteristics of the JRC, 31 joint samples belonging to the same joint group with dominant attitude of 209°∠71° were collected from the Guanshan railway tunnel, and
Han Bao, Hengxing Lan, Changgen Yan
exaly +2 more sources

