Intelligent identification and extraction of geometric properties of rock discontinuities based on terrestrial laser scanning
GE Yunfeng1,2,XIA Ding1,TANG Huiming1,3,ZHAO Binbin4,WANG Liangqing1,CHEN Yong1
(1. Faculty of Engineering,China University of Geosciences,Wuhan,Hubei 430074,China;2. Key Laboratory of Earth Fissures Geological Disaster,Ministry of Land and Resources,Geological Survey of Jiangsu Province,Nanjing,Jiangsu 210018,China;3. Three Gorges Research Center for Geo-hazard,Ministry of Education,China University of Geosciences,Wuhan,Hubei 430074,China;4. China Electric Power Research Institute,Beijing 100055,China)
Abstract:The geometric parameters of rock discontinuities are important for stability and permeability analysis of rock mass. The intelligent identification and properties calculation of rock discontinuities based on the improved algorithm of region growing and analytic geometry were made according to the nodded cloud data of exposed rock measured with the terrestrial laser scanning. To identify the rock discontinuities from nodded cloud data effectively,the region growing algorithm was improved by specifying the normal vectors to the nodes as the judgment indicator and setting two thresholds(smoothness detection threshold and region growing threshold ). The orientation,spacing and scale of rock discontinuities can be computed using the analytic geometry. The effects of two thresholds on the identification results were investigated,and a suggestion for threshold selection was provided according to the difference of normal vectors between the adjacent discontinuities. Additionally,the proposed method was applied to two cases,regular planes and road slopes,to verify the robustness of the algorithm.
葛云峰1,2,夏 丁1,唐辉明1,3,赵斌滨4,王亮清1,陈 勇1. 基于三维激光扫描技术的岩体结构面智能识别与信息提取[J]. 岩石力学与工程学报, 2017, 36(12): 3050-3061.
GE Yunfeng1,2,XIA Ding1,TANG Huiming1,3,ZHAO Binbin4,WANG Liangqing1,CHEN Yong1. Intelligent identification and extraction of geometric properties of rock discontinuities based on terrestrial laser scanning. , 2017, 36(12): 3050-3061.
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