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Correlation between Joint Roughness Coefficient (JRC) and statistical roughness parameters
Engineering Geology and Geotechnics: Building for the Future, Proceedings of the Conference EUROENGEO 2024Rocks are polycrystalline, heterogeneous, and anisotropic media containing discontinuities that often create planes of weakness. These discontinuities influence the mechanical behavior of the rock mass through their surface morphology, their aperture, and their filling material.
Tégawendé Nikiema +2 more
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A new spectral analysis method for determining the joint roughness coefficient of rock joints
International Journal of Rock Mechanics and Mining Sciences, 2019Abstract 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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Estimation of the joint roughness coefficient (JRC) of rock joints by vector similarity measures
Bulletin of Engineering Geology and the Environment, 2017Accurate determination of joint roughness coefficient (JRC) of rock joints is essential for evaluating the influence of surface roughness on the shear behavior of rock joints. The JRC values of rock joints are typically measured by visual comparison against Barton’s standard JRC profiles. However, its accuracy is strongly affected by personal bias.
Rui Yong +4 more
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3DEC Simulations of Dynamic Direct Shear Tests Considering Joint Roughness Coefficient (JRC)
57th U.S. Rock Mechanics/Geomechanics Symposium, 2023ABSTRACT In general, the dynamic properties, e.g., dynamic rock modulus and dynamic rock (shear or tensile) strength are two to three times greater than static moduli and strengths. Thus, understanding the dynamic rock characteristics is necessary to improve the design of support systems in underground mines, nearly
B. H. Kim, M. K. Larson
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Natural fracture profiles, fractal dimension and joint roughness coefficients
Rock Mechanics and Rock Engineering, 1994Thirteen natural rock profiles (Barton and Choubey, 1977) are analyzed for their fractal properties. Most of the profiles were found to approximate fractal curves but some also showed features of specific wavelengths and amplitudes superimposed on fractal characteristics.
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Fractal-wavelet-fusion-based re-ranking of joint roughness coefficients
2019Nowadays, Barton’s Joint Roughness Coefficients (JRC) are widely used as the index for roughness and as a challenging fracture property. When JRC ranking is the goal, deriving JRC from different fractal/wavelet procedures can be conflicting. Complexity increases when various rankings outcome from different calculation methods. Therefore, using Barton’s
Lotfi, M., Tokhmechi, B.
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Comparison of Mechanically Determined with Profile-Based Joint Roughness Coefficients
2018The most popular index for the geometrical characterization of rock discontinuities in rock mechanics is the Joint Roughness Coefficient (JRC). Direct shear tests or mechanical index tests such as tilt- and/or push-tests are most suitable to determine the coefficient.
Kristofer Marsch +1 more
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Engineering Geology, 2016
Abstract Contact planes of a natural unfilled rock joint often portray dissimilar roughness characteristics particularly at shallow depth. Some researchers investigated shear strength behaviors of un-matching joints (i.e. joints with dissimilar surface morphologies) through laboratory experiments using mimicked discontinuities.
H.K. Singh, A. Basu
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Abstract Contact planes of a natural unfilled rock joint often portray dissimilar roughness characteristics particularly at shallow depth. Some researchers investigated shear strength behaviors of un-matching joints (i.e. joints with dissimilar surface morphologies) through laboratory experiments using mimicked discontinuities.
H.K. Singh, A. Basu
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Technical Note Estimation of the Joint Roughness Coefficient (JRC) by Visual Comparison
Rock Mechanics and Rock Engineering, 2002The Joint Roughness Coefficient (JCR) is probably the most commonly-used measure of roughness of rock joint surfaces in current use, and forms an important part of the Barton-Bandis rock joint shear strength criterion. The normal method of evaluating the JCR of a joint is by visual comparison of measured profiles against a set of standard JCR profiles ...
A. J. Beer, D. Stead, J. S. Coggan
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The Study on the Determination Method of 3D Joint Roughness Coefficient
2015In view of the limitations of existing 2D research methods and theories, three 3D joint roughness characteristic parameters were put forward in this article, through consulting a great many of studies on rock joint shear mechanism. Those 3D characteristic parameters can reflect both shear properties and anisotropy of rock joint surface. Moreover, based
Hua Li +4 more
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