文献类型：期刊文献

英文题名：Estimation of the joint roughness coefficient (JRC) of rock joints by vector similarity measures

作者：Yong, Rui[1];Ye, Jun[1];Liang, Qi-Feng[1];Huang, Man[1];Du, Shi-Gui[1]

机构：[1]Shaoxing Univ, Key Lab Rock Mech & Geohazards, Shaoxing 312000, Peoples R China

年份：2018

卷号：77

期号：2

起止页码：735

外文期刊名：BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT

收录：SCI-EXPANDED(收录号：WOS:000431300600020)、、EI(收录号：20170603329982)、Scopus(收录号：2-s2.0-85011620459)、WOS

基金：The study was funded by National Natural Science Foundation of China (Nos. 41502300, 41427802, 41572299), Zhejiang Provincial Natural Science Foundation (No. Q16D020005). The authors appreciate the help provided by Harkiran Kaur, who made the careful English language editing on this manuscript before submitting. We are grateful to Prof. Ron Hotchkiss for his help with checking the data description.

语种：英文

外文关键词：Rock joint; Joint roughness coefficient (JRC); Roughness amplitude; Vector similarity measure

外文摘要：Accurate 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. In the present study, a new comparison method is proposed for JRC evaluation to overcome the drawback of conventional visual comparison methods based on vector similarity measures (VSMs). The feature vectors are obtained by analyzing the angular variation of line segments of both standard JRC profiles and test profiles obtained from three kinds of natural rocks with a sampling interval of 0.5 mm. The roughness similarity degrees between test profiles and standard profiles are evaluated by the Jaccard, Dice, and cosine similarity measures. The JRC values of the test profiles are then determined according to the maximum relation index based on the similarity degrees. In the present study, a comparative analysis between the VSMs method and the JRC evaluation method using different roughness parameters demonstrated that the VSMs method is effective and accurate for JRC measurement.