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| Fast identification of geometric properties of rock discontinuities based on 3D point cloud |
| WANG Peitao1,2,3,QIN Tuo3,HUANG Zhengjun1,2,3,REN Fenhua1,2,3,CAI Meifeng1,2,3 |
(1. Key Laboratory of Ministry of Education for Efficient Mining and Safety of Metal Mine,University of Science and Technology Beijing,Beijing 100083,China;2. Beijing Key Laboratory of Urban Underground Space Engineering,University of Science and Technology Beijing,Beijing 100083,China;3. School of Civil and Resource Engineering,University of Science and Technology Beijing,Beijing 100083,China)
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Abstract The in-situ survey and identification of geometric properties of rock discontinuities in jointed rock mass is one of the basic tasks for the stability analysis of rock engineering. In order to solve the problems of the traditional discontinuity survey methods when obtaining the structural plane information,such as low efficiency,high risk,high subjectivity and data sharing difficulty,An automatic identification algorithm of rock mass structural planes,considering three sensitivity parameters including the number of neighbor points k,the angle threshold j and the filter factor f,was proposed based on the three-dimensional point cloud data of rock mass surfaces using MATLAB code. Based on the neighborhood point searching method,the normal vector analysis of the neighborhood point plane was firstly carried out. Then,the coordinate information of the normal vector point set belonging to the same group of structural planes was determined according to the threshold j,and the coplanar point cloud was reproduced in the same color display mode. The optimal groups of structural planes were discussed based on the influence of the filter factor f on varied types of point clouds. Finally,the fast identification and recognition of dip direction and dip angle of dominant discontinuties,occurrence projection and rose diagram were achieved. The research results can provide one reliable application method for the intelligent and efficient measurement of in-site rock discontinuities.
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[1] WANG P T,YANG T H,YU Q L,et al. Characterization on jointed rock masses based on PFC2D[J]. Frontiers of Structural and Civil Engineering,2013,7(1):32–38.
[2] 周 申,胡 超,李利平,等. 基于Sirovision的隧道岩面三维建模误差修正分析[J]. 长江科学院院报,2020,37(2):87–92.(ZHOU Shen,HU Chao,LI Liping,et al. Correction of 3D modeling errors for tunnel¢s working face using Sirovision[J]. Journal of Yangtze River Scientific Research Institute,2020,37(2):87–92.(in Chinese))
[3] 李术才,刘洪亮,李利平,等. 基于数码图像的掌子面岩体结构量化表征方法及工程应用[J]. 岩石力学与工程学报,2017,36(1):1–9.(LI Shucai,LIU Hongliang,LI Liping,et al. A quantitative method for rock structure at working faces of tunnels based on digital images and its application[J]. Chinese Journal of Rock Mechanics and Engineering,2017,36(1):1–9.(in Chinese))
[4] 许 度,冯夏庭,李邵军,等. 基于三维激光扫描的锦屏地下实验室岩体变形破坏特征关键信息提取技术研究[J]. 岩土力学,2017,38(增1):488–495.(XU Du,FENG Xiating,LI Shaojun,et al. Research on key information extraction of rock mass deformation and failure characteristics in Jinping underground laboratory based on 3D laser scanning technique[J]. Rock and Soil Mechanics,2017,38(Supp.1):488–495.(in Chinese))
[5] 陈爱云,曾唯恐,王 哲,等. 基于三维激光扫描技术的危岩体特征快速识别方法及稳定性评价[J]. 水利与建筑工程学报,2019,17(6):60–64.(CHEN Aiyun,ZENG Weikong,WANG Zhe,et al. Application of unstable rock investigation and stability evaluation based on 3D laser scanning technology[J]. Journal of Water Resources and Architectural Engineering,2019,17(6):60–64.(in Chinese))
[6] 吴昌睿,黄宏伟,邵 华. 地铁隧道横向变形的激光扫描检测方法及应用[J]. 地下空间与工程学报,2020,16(3):863–881.(WU Changrui,HUANG Hongwei,SHAO Hua. Laser scanning inspection method and application for metro tunnel deformation[J]. Chinese Journal of Underground Space and Engineering,2020,16(3):863–881.(in Chinese))
[7] 刘昌军,丁留谦,孙东亚. 基于激光点云数据的岩体结构面全自动模糊群聚分析及几何信息获取[J]. 岩石力学与工程学报,2011,30(2):358–364.(LIU Changjun,DING Liuqian,SUN Dongya. Automatic fuzzy clustering analysis and geometric Information acquisition of rock mass discontinuities based on laser point cloud data[J]. Chinese Journal of Rock Mechanics and Engineering,2011,30(2):358–364.(in Chinese))
[8] 刘昌军,张顺福,丁留谦,等. 基于激光扫描的高边坡危岩体识别及锚固方法研究[J]. 岩石力学与工程学报,2012,31(10):2 139–2 146. (LIU Changjun,ZHANG Shunfu,DING Liuqian,et al. Identification of dangerous rock mass of high slope and study of anchoring method based on laser scanning[J]. Chinese Journal of Rock Mechanics and Engineering,2012,31(10):2 139–2 146.(in Chinese))
[9] 葛云峰,夏 丁,唐辉明,等. 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):3 050–3 061.(GE Yunfeng,XIA Ding,TANG Huiming,et al. Intelligent identification and extraction of geometric properties of rock discontinuities based on terrestrial laser scanning[J]. Chinese Journal of Rock Mechanics and Engineering,2017,36(12):3 050–3 061.(in Chinese))
[10] GE Y F,XIE Z G,TANG H M,et al. Determination of shear failure regions of rock joints based on point clouds and image segmentation[J]. Engineering Geology,2019,260:105250.
[11] 王兆丰,闫 镔,童 莉,等. 自适应邻域尺寸选择的点云法向量估计算法[J]. 红外与激光工程,2014,43(4):310–314.(WANG Zhaofeng,YAN Bin,TONG Li,et al. Normal estimate method of point clouds based on adaptive neighbor size[J]. Infrared and Laser Engineering,2014,43(4):310–314.(in Chinese))
[12] ADRIÁN R,ABELLÁN A,TOMÁS R,et al. A new approach for semi-automatic rock mass joints recognition from 3D point clouds[J]. Computers and Geosciences,2014,68:38–52.
[13] ADRIÁN R,ABELLÁN A,TOMÁS R. Discontinuity spacing analysis in rock masses using 3D point clouds[J]. Engineering Geology,2015,195:185–195.
[14] CHEN J Q,ZHU H H,LI X J. Automatic extraction of discontinuity orientation from rock mass surface 3D point cloud[J]. Computers and Geosciences,2016,95(10):18–31.
[15] ADRIÁN R,TOMÁS R,ABELLÁN A. Characterization of rock slopes through slope mass rating using 3D point clouds[J]. International Journal of Rock Mechanics and Mining Sciences,2016,84:165–176.
[16] 陈建琴,李晓军,朱合华. 基于点云的岩体间距与粗糙度的自动化提取[J]. 地下空间与工程学报,2017,13(1):133–140.(CHEN Jianqin,LI Xiaojun,ZHU Hehua. Automatic extract of rock mass spacing and roughness based on point clouds[J]. Chinese Journal of Underground Space and Engineering,2017,13(1):133–140.(in Chinese))
[17] 朱云福. 基于三维激光扫描数据的岩体结构面识别方法研究及系统研制[硕士学位论文][D]. 北京:中国地质大学,2012.(ZHU Yunfu. The theory and system development of discontinuity identification based on 3D laser scanning data[M. S. Thesis][D]. Beijing:China University of Geosciences,2012.(in Chinese))
[18] 宋珺敏. 基于多源数据的岩体结构面智能识别方法与信息解译研究[硕士学位论文][D]. 南京:南京师范大学,2016.(SONG Junmin. Intelligent recognition method and information interpretation of rock mass structure plane based on multi-source data[M. S. Thesis][D]. Nanjing:Nanjing Normal University,2016.(in Chinese))
[19] 刘庆群,李 浩,杨 彪,等. 面向岩体结构面提取的3D Hough变换点云分割方法[J]. 工程勘察,2017,45(4):64–67.(LIU Qingqun,LI Hao,YANG Biao,et al. Point cloud segmentation method of rock mass discontinuities based on 3D Hough transform[J]. Geotechnical Investigation and Surveying,2017,45(4):64–67.(in Chinese))
[20] 施星波. 基于三维激光扫描数据的岩体结构面产状识别方法研究[硕士学位论文][D]. 北京:中国地质大学,2010.(SHI Xingbo. Research for identifying structural plane based on three-dimensional laser scanning data[M. S. Thesis][D]. Beijing:China University of Geosciences,2010.(in Chinese))
[21] 郑 俊,邓建辉,魏进兵. 不连续面产状Fisher分布拟合度检验方法的改进[J]. 岩石力学与工程学报,2015,34(8):1 561–1 568. (ZHENG Jun,DENG Jianhui,WEI Jinbing. An improved method of goodness-of-fit test for Fisher distribution to discontinuity orientations[J]. Chinese Journal of Rock Mechanics and Engineering,2015,34(8):1 561–1 568.(in Chinese))
[22] ZHENG J,DENG J H,YANG X J,et al. An improved Monte Carlo simulation method for discontinuity orientations based on Fisher distribution and its program implementation[J]. Computers and Geotechnics,2014,61:266–276.
[23] 李 宝,程志全,党 岗,等. 三维点云法向量估计综述[J]. 计算机工程与应用,2010,46(23):1–7.(LI Bao,CHENG Zhiquan,DANG Gang,et al. Survey on normal estimation for 3D point clouds[J]. Computer Engineering and Applications,2010,46(23):1–7.(in Chinese))
[24] HOPPE H,DE ROSE T,DUCHAMP T,et al. Surface reconstruction from unorganized points[C]// ACM Siggraph. [S. l. ]:[s. n. ],1992:71–78.
[25] 赵佳斌,章杨松,李晓昭. 基于摄影测量三维点云的岩体结构面自动识别方法[J]. 科学技术与工程,2017,17(28):240–244.(ZHAO Jiabin,ZHANG Yangsong,LI Xiaozhao. Automatic identification method of rock mass discontinuities based on 3D point cloud from photo-grammetry[J]. Science Technology and Engineering,2017,17(28):240–244.(in Chinese))
[26] 付永健,李宗春,何 华,等.基于K–近邻拟合平面点云简化算法[J]. 北京测绘,2017,(增1):86–90.(FU Yongjian,LI Zongchun,HE Hua,et al. Point cloud simplification based on K-neighbors fitting plane[J]. Beijing Surveying and Mapping,2017,(Supp.1):86–90.(in Chinese))
[27] 王 峰,丘广新,程效军. 改进的鲁棒迭代最小二乘平面拟合算法[J]. 同济大学学报:自然科学版,2011,39(9):1 350–1 355. (WANG Feng,QIU Guangxin,CHENG Xiaojun. An improved robust method for iterating least-squares plane fitting[J]. Journal of Tongji University:Natural Science,2011,39(9):1 350–1 355.(in Chinese))
[28] Dsp Tian. MATLAB练习程序:点云表面法向量[DB/OL]. https:// www.cnblogs.com/tiandsp/p/10662783.html,2019.04.06.(Dsp Tian. MATLAB practice program: Normal vectors of the surface of point cloud[DB/OL]. https://www.cnblogs.com/ tiandsp/p/ 10662783.html,2019.04.06.(in Chinese)) |
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