Geometrical heterogeneity of the joint roughness coefficient revealed by 3D laser scanning
文献类型:期刊论文
作者 | Bao, Han2; Zhang, Guobiao2,3; Lan, Hengxing1,4![]() |
刊名 | ENGINEERING GEOLOGY
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出版日期 | 2020-02-01 |
卷号 | 265页码:9 |
关键词 | Joint roughness coefficient Sampling effect Anisotropy Log-normal distribution |
ISSN号 | 0013-7952 |
DOI | 10.1016/j.enggeo.2019.105415 |
通讯作者 | Lan, Hengxing(Lanhx@igsnrr.ac.cn) |
英文摘要 | The joint roughness coefficient (JRC) is an important indicator that characterizes the physical and mechanical behaviors of a jointed rock mass. To investigate the distribution characteristics of the JRC, 31 joint samples belonging to the same joint group with dominant attitude of 209 degrees angle 71 degrees were collected from the Guanshan railway tunnel, and the morphologies of the joint samples were digitized using 3D laser scanning. The JRC values in different directions were obtained based on the fractal theory, and the effects of sampling interval on JRC were assessed during the JRC calculation process. The results show that the sampling intervals of profile line and digital point both affect the calculated JRC values. With sampling interval increasing, there exists an obvious threshold above which the JRC value changes from constant to variable. It is found that, the JRC value keeps constant if the profile line sampling interval is smaller than the threshold value (4 mm), which is independent of the roughness degree of the joint. However, the threshold of digital point sampling interval is influenced by joint roughness and has a negative exponential relationship with the JRC value. According to the calculated results of JRC in different directions of the 31 joint samples, it is clear that the JRC values present significant anisotropy and large variation in certain directions. Meanwhile, it is verified that the JRC values in the same direction follow a log-normal distribution. The expected JRC values calculated depending on the probability density function are generally larger than the arithmetic mean values, with a maximum difference up to 23.1%. In consideration of natural distribution, the expected JRC values calculated from probability density function should be more reliable than the arithmetic mean values. Therefore, accurate understanding on the geometrical heterogeneity of JRC will significantly affect the evaluation of mechanical effects of rock mass structure. |
WOS关键词 | SHEAR-STRENGTH CRITERION ; ROCK MASS ; MECHANICAL-PROPERTIES ; SURFACE-ROUGHNESS ; FAILURE-MECHANISM ; FRACTAL DIMENSION ; BEHAVIOR ; DISCONTINUITIES ; INDEX ; JRC |
资助项目 | National Natural Science Foundation of China[41790443] ; National Natural Science Foundation of China[41807246] ; Natural Science Foundation of Shaanxi Province[2018JQ4017] ; Fundamental Research Funds for the Central Universities[300102218412] |
WOS研究方向 | Engineering ; Geology |
语种 | 英语 |
WOS记录号 | WOS:000517660100016 |
出版者 | ELSEVIER |
资助机构 | National Natural Science Foundation of China ; Natural Science Foundation of Shaanxi Province ; Fundamental Research Funds for the Central Universities |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/132545] ![]() |
专题 | 中国科学院地理科学与资源研究所 |
通讯作者 | Lan, Hengxing |
作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, 11A Datun Rd, Beijing 100101, Peoples R China 2.Changan Univ, Sch Highway, Xian 710064, Shaanxi, Peoples R China 3.ShaanXi Land Construct Grp, Xian 710075, Shaanxi, Peoples R China 4.Changan Univ, Sch Geol Engn & Geomat, Xian 710064, Peoples R China |
推荐引用方式 GB/T 7714 | Bao, Han,Zhang, Guobiao,Lan, Hengxing,et al. Geometrical heterogeneity of the joint roughness coefficient revealed by 3D laser scanning[J]. ENGINEERING GEOLOGY,2020,265:9. |
APA | Bao, Han,Zhang, Guobiao,Lan, Hengxing,Yan, Changgen,Xu, Jiangbo,&Xu, Wei.(2020).Geometrical heterogeneity of the joint roughness coefficient revealed by 3D laser scanning.ENGINEERING GEOLOGY,265,9. |
MLA | Bao, Han,et al."Geometrical heterogeneity of the joint roughness coefficient revealed by 3D laser scanning".ENGINEERING GEOLOGY 265(2020):9. |
入库方式: OAI收割
来源:地理科学与资源研究所
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