(1. Institute of Mining Research,Inner Mongolia University of Science and Technology,Baotou,Inner Mongolia 014010,China;
2. School of Resources and Civil Engineering,Northeastern University,Shenyang,Liaoning 110000,China)
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.
杜时贵,唐辉明. 岩体断裂粗糙度系数的各向异性研究[J]. 工程地质学报,1993,1(2):32-41.(DU Shigui,TANG Huiming. A study on the anisotropy of joint roughness coefficient in rock mass[J]. Journal of Engineering Geology,1993,1(2):32-41.(in Chinese))
[19]
BELEM T,HOMAND-ETIENNE F,SOULEY M. Quantitative parameter for rock joint surface roughness[J]. Rock Mechanics and Rock Engineering,2000,33(4):217-242.
[22]
王思敬. 论岩石的地质本质性及其岩石力学演绎[J]. 岩石力学与工程学报,2009,28(3):433-450.(WANG Sijing. Geological nature of rock and its deduction for rock mechanics[J]. Chinese Journal of Rock Mechanics and Engineering,2009,28(3):433-450.(in Chinese))
[23]
张 征,刘淑春,鞠硕华. 岩土参数空间变异性分析原理与最优估计模型[J]. 岩土工程学报,1996,18(4):40-47.(ZHANG Zheng,LIU Shuchun,JU Shuohua. The optimum estimation model and theprinciple of spatial variability analysis of rock and soil parameters[J]. Chinese Journal of Geotechnical Engineering,1996,18(4):40-47.(in Chinese))
Your browse does not support frame!