统计参数与JRC的定量关系研究  

A Study of Relationships between Statistical Parameters of Typical Rock-joint Curves and JRC Based on Image Analysis Techniques

作　　者：张建明[1] 唐志成[1] 蒋景东[1] 占婷 

机构地区：[1]武汉大学土木建筑工程学院,武汉430072

出　　处：《科学技术与工程》2015年第14期1-5,共5页Science Technology and Engineering

基　　金：国家重点基础研究发展计划(973)(2014CB046904);国家自然科学基金青年基金(41402247)资助

摘　　要：采用图像分析技术对10条JRC剖面线进行数字化处理,采用0.5mm、1.0mm、2.0mm及4.0mm的采样间距得到JRC曲线的坐标并计算相应的统计参数值(坡度均方根Z2、结构函数SF和粗糙度指数Rs)。研究发现Z2随采样间距的增加而变小,SF、Rs则随采样间距的增加而增加,不同的剖面线对采样间距的敏感度不一样。采样间距为0.5mm时,对数函数适合描述JRC与Z2、SF和Rs的关系;当采样间距为1.0mm、2.0mm、4.0mm时,线性函数最适合表达JRC与Z2的关系,指数函数最适合表达JRC与SF、Rs的关系。Image analysis techniques are used for ten typical rock-joint curves and the calculated values of the slope root mean square Z2,structure function SF and the roughness Rsare obtained when the sampling space are 0.5mm,1.0mm,2.0mm and 4.0mm.It has been found that with increasing the sampling interval,Z2 becomes smaller,however,SF and Rsincrease with the sampling spacing increases,the sensitivity are also different at different sampling intervals.In fitting with the JRC,it is found that in the sample spacing of 0.5mm,logarithmic function has the best correlation of JRC and Z2,SF,Rs; but at a sampling interval of 1.0mm,2.0mm and 4.0mm,a linear function is best suited to express the relationship between JRC and Z2,the exponential functions are most suitable expressions of JRC and SF,Rs.

关 键 词：节理粗糙度系数 统计参数 采样间距 相关性 

分 类 号：P583[天文地球—岩石学]