Abstract The roughness of the joint surface of rocks is notably anisotropic and size affected. To describe it quantitatively remains a difficult problem because of the complex structure of joint surface. The method of geological statistics was used to analyze the anisotropy and the size effects of structural surface of rocks. A method based on the dimensional analysis,JRCv,was proposed to describe the surface roughness of joints using the sill value and variable range of the variogram. Ten sampling sizes from 100 Pixel×100 Pixel to 1 000 Pixel×1 000 Pixel were selected from the central part of the surface to calculate JRCv values. It is found that the rougher the surface in analysis direction is,the larger the value of JRCv. JRCv is thus a good parameter to describe the anisotropy and roughness of joint surface of rock. The JRCv values decrease with increase of the size of the sampling windows. When the sampling windows are larger than a threshold value,the estimated parameters remain constant. Anisotropic properties are influenced by the surface size when the sampling windows are smaller than the threshold.
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Received: 17 April 2014
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