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Rock Mechanics and Rock Engineering, 2018
When translating digital roughness profiles of a closed rock joint along the shear direction, the overlapping translational areas can reasonably represent the main potential contact areas in shear tests. By translating Barton’s ten typical roughness profiles, a series of statistical parameters, including the overlapping areas (S*), overlapping number ...
Xige Liu, Wancheng Zhu, Qinglei Yu
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When translating digital roughness profiles of a closed rock joint along the shear direction, the overlapping translational areas can reasonably represent the main potential contact areas in shear tests. By translating Barton’s ten typical roughness profiles, a series of statistical parameters, including the overlapping areas (S*), overlapping number ...
Xige Liu, Wancheng Zhu, Qinglei Yu
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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 ...
D Stead
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Estimating joint roughness coefficients
International Journal of Rock Mechanics and Mining Sciences & Geomechanics Abstracts, 1979Eight parameters that have used used to characterize numerically the roughness of surfaces have been measured on the ten profiles presented by Barton and Choubey [1] as typifying different joint roughness coefficients. Values of two of these parameters, Z2 and SF, respectively, the root mean square and the mean square of the first derivative of the ...
R. Tse, D.M. Cruden
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Relationship between the Fractal Dimension and Joint Roughness Coefficient
Environmental & Engineering Geoscience, 1989An empirical relationship between the fractal dimension (D) and joint roughness coefficient (JRC) is described. The concepts of fractals and fractal dimension are introduced. A fractal dimension for joint and bedding planes is determined using elevation data measured along a line traversing these surfaces.
J. R. CARR, J. B. WARRINER
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Alternative Method for Assessing the Roughness Coefficients of Rock Joints
Journal of Computing in Civil Engineering, 2016AbstractThe roughness of rock joints is a relevant factor considerably influencing the shear strength of rock masses, which is critical for the mechanical stability of large civil engineering structures. One of the geotechnical methods for determining the roughness coefficients of rock joints is on the basis of the visual comparison of the joint ...
Tomás Ficker, Dalibor Martisek
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A new approach for quantifying the two-dimensional joint roughness coefficient (JRC) of rock joints
Environmental Earth Sciences, 2021The joint roughness coefficient (JRC) is the key factor in predicting the peak shear strength of a rock joint. In this paper, we present a new approach for quantitatively calculating the JRC of two-dimensional rock joints. First, the two dimensionless indexes of cumulative relative relief amplitude (CRRA) and weighted average gradient (WAG) are defined
Yuan Wei +9 more
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Assessment of conventional methodologies for joint roughness coefficient determination
International Journal of Rock Mechanics and Mining Sciences & Geomechanics Abstracts, 1993A numerical description of rock joint toughness is necessary to model the pseudostatic and dynamic rock joint behavior. The commonly used measure of joint roughness in rock engineering practice is the joint roughness coefficient (JRC), proposed by Barton and adopted by the International Society for Rock Mechanics.
S.M. Hsiung +3 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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Predicting Joint Roughness Coefficients Using Fractal Dimension of Rock Joint Profiles
Applied Mechanics and Materials, 2012The Joint Roughness Coefficients, JRC, is presented Barton and Choubey in 1977. A series of different rock joint profiles were reconstructed by means of the independent cut method (Voss, 1988) using the programs written by MATLAB language. The reconstructed joint profiles have different amplitude and roughness.
Hong Fa Xu +3 more
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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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