摘要：
以岩石自然节理面为研究对象, 对节理面形貌进行了测量, 建立了节理面三维形貌图, 在此基础上计算得到了5个形貌参数, 以中心线平均高度均方根为基准, 对参数之间的相关性进行了研究.在形貌参数测量的基础上, 选取3个形貌参数, 采用模糊数学方法, 实现节理面粗糙度的量化, 对粗糙度进行了分级, 并对形貌参数与粗糙程度指标之间的依存关系进行了研究.研究表明, 中心线平均高度与均方根呈线性正比例关系, 峰态系数、偏度系数及表面微凸体倾角均方根值与中心线平均高度均方根值的比值与中心线平均高度的均方根值为幂函数关系.粗糙度量化分级研究结果表明, 粗糙度量化分级指标与静摩擦因数及静摩擦角有明显正比例线性关系, 静摩擦因数、静摩擦角及量化分级指标与中心线平均高度均方根值的比值与中心线平均高度均方根值为幂函数关系.通过各参数相互之间的定量函数关系, 可得到相关性系数, 进而实现形貌参数对节理面粗糙程度及摩擦力的估算.%Taking the rock nature joint surface as the research object, the morphology of joint surface was mea-sured and 3 D shape of the joint surface was established. On the basis of this, five parameters were calculated and the correlation between parameters was studied taking the root mean square value (RMS) as benchmark. Selecting three morphology parameters, the method of fuzzy mathematics was used to quantify the roughness of joint surface, and the roughness was classified. Meanwhile, the correlation between the morphology parameter and roughness index was studied. The results show that the average height of the central line is proportional to its RMS. The relation among the ratio of kurtosis coefficient, skewness coefficient, micro convex angle and RMS of mean height of centerline is power functions. The results of quantitative classification of roughness show that the quantitative classification index and friction coefficient and friction angle have obvious positive proportional linear relationship. It can be used for the estimation of joint surface friction. The relation among the ratio of friction coefficient, friction angle, the quantitative classification index and RMS of mean height of centerline is also power functions. Through the quantitative function relationship between the parameters, the correlation coefficient can be obtained, and then the estimation of surface roughness and friction force of the joints can be realized.
