基于三维激光点云技术的岩体结构面智能解译

陈娜; 蔡小明; 夏金梧; 张绍和; 姜清辉; 史超

doi:10.3799/dqkx.2020.282

Volume 46 Issue 7

Jul. 2021

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Article Navigation > Earth Science > 2021 > 46(7): 2351-2361

Chen Na, Cai Xiaoming, Xia Jinwu, Zhang Shaohe, Jiang Qinghui, Shi Chao, 2021. Intelligent Interpretation of Rock Mass Discontinuity Based on Three-Dimensional Laser Point Cloud. Earth Science, 46(7): 2351-2361. doi: 10.3799/dqkx.2020.282

Citation:

Chen Na, Cai Xiaoming, Xia Jinwu, Zhang Shaohe, Jiang Qinghui, Shi Chao, 2021. Intelligent Interpretation of Rock Mass Discontinuity Based on Three-Dimensional Laser Point Cloud. Earth Science, 46(7): 2351-2361. doi: 10.3799/dqkx.2020.282

Citation:

Chen Na, Cai Xiaoming, Xia Jinwu, Zhang Shaohe, Jiang Qinghui, Shi Chao, 2021. Intelligent Interpretation of Rock Mass Discontinuity Based on Three-Dimensional Laser Point Cloud. Earth Science, 46(7): 2351-2361. doi: 10.3799/dqkx.2020.282

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Intelligent Interpretation of Rock Mass Discontinuity Based on Three-Dimensional Laser Point Cloud

doi: 10.3799/dqkx.2020.282

1.
School of Civil, Architecture and Environment, Hubei University of Technology, Wuhan 430068, China
2.
Changjiang Institute of Survey, Planning, Design and Research Co. Ltd., Wuhan 430010, China
3.
Key Laboratory of Metallogenic Prediction of Nonferrous Metals and Geological Environment Monitoring Ministry of Education, School of Geosciences and Info-Physics, Central South University, Changsha 410083, China
4.
School of Civil Engineering, Wuhan University, Wuhan 430072, China

Received Date: 2020-10-04
Publish Date: 2021-07-15

Abstract

Abstract

The stability of rock mass is mainly controlled by a large number of internal discontinuities. Therefore, the accurate and efficient extraction of discontinuity information is a significant process to analyze the stability of rock mass. In the paper, the raw point cloud data is collected by three-dimensional laser scanner, a new approach about automatic extraction of discontinuity is proposed based on point cloud model of rock mass, which can automatically decipher the parameters of rock mass discontinuities. The new sampling method and evaluation method are successfully introduced based on the modified Ransac algorithm, the efficiency and accuracy of Ransac algorithm are rapidly improved to adapt rough point cloud data of rock mass. The modified Graham Scan algorithm is proposed to delineate the convex-concave boundary and to calculate the size for discontinuity. Based on the above algorithms, this paper developed a discontinuity extraction program named RDD (ransac discontinuity dtection). RDD is tested by two sets of standard geometry data and one set of rock mass data. The results indicate that the orientation error of standard geometry is less than 1ånd the maximum error of rock is less than 6°, which satisfy the prescriptive error requirements of engineering.
- three-dimensional laser point cloud,
- discontinuity,
- Ransac algorithm,
- Graham Scan algorithm,
- engineering geology

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References(45)

References

Chen, J.Q., Zhu, H.H., Li, X.J., 2016. Automatic Extraction of Discontinuity Orientation from Rock Mass Surface 3D Point Cloud. Computers and Geosciences, 95: 18-31. https://doi.org/10.1016/j.cageo.2016.06.015.

Chen, Z.F., Chen, D.L., Yang, J.X., 2012. Application of Three⁃Dimensional Laser Scanning Technique in Deformation Monitoring of Excavations. Chinese Journal of Geotechnical Engineering, 34(Suppl): 557-559 (in Chinese with English abstract). http://www.en.cnki.com.cn/Article_en/CJFDTotal-BJCH2017S1040.htm

Deb, D., Hariharan, S., Rao, U.M., et al. , 2007. Automatic Detection and Analysis of Discontinuity Geometry of Rock Mass from Digital Images. Computers and Geosciences, 34(2): 115-126. https://doi.org/10.1016/j.cageo.2007.03.007.

Dong, X.J., Huang, R.Q., 2006. Application of 3D Laser Scanning Technology to Geologic Survey of High and Steep Slope. Chinese Journal of Rock Mechanics and Engineering, 25(S2): 3629-3635 (in Chinese with English abstract). http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=yslxygcxb2006z2046

Fan, L.M., Li, N., 2005. Study on Rock Mass Joint Measurement Based on Digital Photogrammetry. Chinese Journal of Rock Mechanics and Engineering, 24(5): 792-797 (in Chinese with English abstract). http://www.oalib.com/paper/1485913

Ge, Y.F., Tang, H.M., Xia, D., et al. , 2018. Automated Measurements of Discontinuity Geometric Properties from a 3D⁃Point Cloud Based on a Modified Region Growing Algorithm. Engineering Geology, 242(14): 44-54. https://doi.org/10.1016/j.enggeo.2018.05.007.

Gigli, G., Casagli, N., 2010. Semi⁃Automatic Extraction of Rock Mass Structural Data from High Resolution LIDAR Point Clouds. International Journal of Rock Mechanics and Mining Sciences, 48(2): 187-198. https://doi.org/10.1016/j.ijrmms.2010.11.009.

Gu, D.Z., 1979. Foundation of Rock Engineering Geomechanics. Science Press, Beijing, 290-329 (in Chinese with English abstract).

Héctor, F., Cristóbal, A. N., Hitschfeld, N., 2020. A Filtering Technique for Fast Convex Hull Construction in R2. Journal of Computational and Applied Mathematics, 364: 112-298. https://doi.org/10.1016/j.cam.2019.06.014

Huang, D., Zhong, Z., 2015. A Universal Mathematical Method for Determining Occurrence of Underground Rock Discontinuity Based on TV Picture of Wall of a Single Borehole. Earth Science, 40(6): 1101-1106 (in Chinese with English abstract). http://www.researchgate.net/publication/283749157_A_universal_mathematical_method_for_determining_occurrence_of_underground_rock_discontinuity_based_on_tv_picture_of_wall_of_a_single_borehole

Kang, J.T., Wu, Q., Tang, H.M., et al., 2019. Strength Degradation Mechanism of Soft and Hard Interbedded Rock Masses of Badong Formation Caused by Rock/Discontinuity Degradation. Earth Science, 44(11): 3950-3960(in Chinese with English abstract). http://en.cnki.com.cn/Article_en/CJFDTotal-DQKX201911029.htm

Lato, M., Kemeny, J., Harrap, R, M., et al., 2013. Rock Bench: Establishing a Common Repository and Standards for Assessing Rockmass Characteristics Using Lidar and Photogrammetry. Computers and Geosciences, 50: 106-114. https://doi.org/10.1016/j.cageo.2012.06.014.

Lato, M.J., VÖge, M., 2012. Automated Mapping of Rock Discontinuities in 3D Lidar and Photogrammetry Models. International Journal of Rock Mechanics and Mining Sciences, 54: 150-158. doi: 10.1016/j.ijrmms.2012.06.003

Li, H. B., Li, X. W., Li, W. Z., et al., 2019. Quantitative Assessment for the Rockfall Hazard in a Post⁃Earthquake High Rock Slope Using Terrestrial Laser Scanning. Engineering Geology, 248: 1-13. https://doi.org/10.1016/j.enggeo.2018.11.003.

Lin, S., Wang, W., Deng, X.H., et al., 2019. Geophysical Observation of Typical Landslides in Three Gorges Reservoir Area and Its Significance: A Case Study of Sifangbei Landslide in Wanzhou District. Earth Science, 44(9): 3135-3146(in Chinese with English abstract). http://en.cnki.com.cn/Article_en/CJFDTotal-DQKX201909026.htm

Myatt, D. R., Torr, P. H. S., Nasuto, S. J., et al., 2002. NAPSAC: High Noise, High Dimensional Model Parameterization: It's in the Bag. British Machine Vision Conference. DBLP., 458-467. http://www.researchgate.net/publication/221259336_NAPSAC_High_Noise_High_Dimensional_Robust_Estimation_-_it's_in_the_Bag

Math, J., Samson, C., McKinnon, S.D., 2011. 3D Laser Imaging for Joint Orientation Analysis. International Journal of Rock Mechanics and Mining Sciences, 48(6): 932-941. https://doi.org/10.1016/j.ijrmms.2011.04.010.

Olariu, M.I., Ferguson, J.F., Aiken, C.L.V., et al., 2008. Outcrop Fracture Characterization Using Terrestrial Laser Scanners: Deep⁃Water Jackfork Sandstone at Big Rock Quarry, Arkansas Geosphere, 4(1): 247-259. https://doi.org/10.1130/GES00139.1CorpusID:129157012.

Qiu, J.L., Xia, Q.L., Yao, L.Q., et al., 2012. Mine Geological Modeling and Application Based on the Three⁃Dimensional Laser Scanner Technology. Earth Science, 37(6): 1209-1216 (in Chinese with English abstract). http://www.researchgate.net/publication/289046802_Mine_geological_modeling_and_application_based_on_the_three-dimensional_laser_scanner_technology

Riquelme, A.J., Riquelme, A., Abellán, R., et al., 2014. A New Approach for Semi⁃Automatic Rock Mass Joints Recognition from 3D Point Clouds. Computers and Geosciences, 68: 38-52. https://doi.org/10.1016/j.cageo.2014.03.014.

Slob, S., Hack, H.R.G.K., Feng, Q., et al., 2007. Fracture Mapping Using 3D Laser Scanning Techniques. In: Ribeiro, E., Sousa, L., Olalla, C., eds., Proceeding of the 11th Congress of the International Society for Rock Mechanics, Lisbon, 1: 299-302.

Slob, S., Van, K.B., Hack, R., et al., 2005. Method for Automated Discontinuity Analysis of Rock Slopes with Three⁃Dimensional Laser Scanning. Transportation Research Record: Journal of the Transportation Research Board, 1913(1): 187-194. https://doi.org/10.1177/0361198105191300118

Sun, G.Z., 1993. On the Theory of Structure⁃Controlled Rockmass. Journal of Engineering Geology, (1): 14-18 (in Chinese with English abstract). http://en.cnki.com.cn/Article_en/CJFDTOTAL-GCDZ199301003.htm

Tang, H.M., Ge, Y.F., Wang, L.Q., et al., 2012. Study on Estimation Method of Rock Mass Discontinuity Shear Strength Based on Three⁃Dimensional Laser Scanning and Image Technique. Journal of Earth Science, 23(6): 908-913. doi: 10.1007/s12583-012-0301-2

Uherčík, M., Kybic, J., Liebgott, H., et al., 2010. Model Fitting Using RANSAC for Surgical Tool Localization in 3D Ultrasound Images. IEEE Transactions on Bio⁃Medical Engineering, 57(8): 1907-16. https://doi.org/10.1109/TBME.2010.2046416

Vöge, M., Lato, M.J., Diederichs, M.S., 2013. Automated Rockmass Discontinuity Mapping from 3⁃Dimensional Surface Data. Engineering Geology, 164: 155-162. https://doi.org/10.1016/j.enggeo.2013.07.008.

Wang, J.C., Wang, C.Y., Hu, S., et al., 2017. A New Method for Extraction of Parameters of Structural Surface in Borehole Images. Rock and Soil Mechanics, 38(10): 3074-3080 (in Chinese with English abstract). http://www.researchgate.net/publication/322114200_A_new_method_for_extraction_of_parameters_of_structural_surface_in_borehole_images

Wang, M.C., Xu, Z.S., Wang, F.Y., et al., 2018. Fitting Test on Probability Distribution of Discontinuity Parameters in Rock Mass Based on Photogrammetry. Journal of Jilin University (Earth Science Edition), 48(6): 1898-1906 (in Chinese with English abstract). http://www.researchgate.net/publication/330884895_Fitting_Test_on_Probability_Distribution_of_Discontinuity_Parameters_in_Rock_Mass_Based_on_Photogrammetry

Warburton, J., Holden, J., Mills, A.J., 2004. Hydrological Controls of Surficial Mass Movements in Peat. Earth Science Reviews, 67(1): 139-156. https://doi.org/10.1016/j.enggeo.2013.07.008.

Yuan, G.X., Wang, H.J., Huang, Z.Q., et al., 2017. Distribution of Discontinuities along Drillholes in Granite: Case Study from Dayawan, Shenzhen. Journal of Engineering Geology, 25(4): 1010-1016 (in Chinese with English abstract). http://en.cnki.com.cn/Article_en/CJFDTotal-GCDZ201704015.htm

Yu, T.L., 2009. Digital Identification of the Discontinuities Information and Strength Evaluation of the Rockmass (Dissertation). Northeastern University, Shenyang (in Chinese with English abstract).

Zhang, P., Du, K., Tannant, D.D., et al., 2018. Automated Method for Extracting and Analyzing the Rock Discontinuities from Point Clouds Based on Digital Surface Model of Rock Mass. Engineering Geology, 239: 109-118. https://doi.org/10.1016/j.enggeo.2018.03.020.

陈致富, 陈德立, 杨建学, 2012. 三维激光扫描技术在基坑变形监测中的应用. 岩土工程学报, 34(S1): 557-559. https://www.cnki.com.cn/Article/CJFDTOTAL-YTGC2012S1109.htm

董秀军, 黄润秋, 2006. 三维激光扫描技术在高陡边坡地质调查中的应用. 岩石力学与工程学报, 25(2): 3629-3635. https://www.cnki.com.cn/Article/CJFDTOTAL-YSLX2006S2045.htm

范留明, 李宁, 2005. 基于数码摄影技术的岩体裂隙测量方法初探. 岩石力学与工程学报, 24(5): 792-797. doi: 10.3321/j.issn:1000-6915.2005.05.010

谷德振, 1979. 岩体工程地质力学基础. 北京: 科学出版社, 290-329.

黄达, 钟助, 2015. 基于单个钻孔孔壁电视图像确定地下岩体结构面产状的普适数学方法. 地球科学, 40(6): 1101-1106. doi: 10.3799/dqkx.2015.092

亢金涛, 吴琼, 唐辉明, 等, 2019. 岩石/结构面劣化导致巴东组软硬互层岩体强度劣化的作用机制. 地球科学, 44(11): 3950-3960. doi: 10.3799/dqkx.2019.110

林松, 王薇, 邓小虎, 等, 2019. 三峡库区典型滑坡地球物理实测及其意义: 以万州区四方碑滑坡为例. 地球科学, 44(9): 3135-3146. doi: 10.3799/dqkx.2019.074

邱俊玲, 夏庆霖, 姚凌青, 等, 2012. 基于三维激光扫描技术的矿山地质建模与应用. 地球科学, 37(6): 1209-1216. http://www.earth-science.net/article/id/2326

孙广忠, 1993. 论"岩体结构控制论". 工程地质学报, 1(1): 14-18. https://www.cnki.com.cn/Article/CJFDTOTAL-GCDZ199301003.htm

汪进超, 王川婴, 胡胜, 等, 2017. 孔壁钻孔图像的结构面参数提取方法研究. 岩土力学, 38(10): 3074-3080. https://www.cnki.com.cn/Article/CJFDTOTAL-YTLX201710040.htm

王明常, 徐则双, 王凤艳, 等, 2018. 基于摄影测量获取岩体结构面参数的概率分布拟合检验. 吉林大学学报(地球科学版), 48(6): 1898-1906. https://www.cnki.com.cn/Article/CJFDTOTAL-CCDZ201806027.htm

袁广祥, 王洪建, 黄志全, 等, 2017. 花岗岩体钻孔中结构面的分布规律——以深圳大亚湾花岗岩体为例. 工程地质学报, 25(4): 1010-1016. https://www.cnki.com.cn/Article/CJFDTOTAL-GCDZ201704015.htm

于天亮, 2009. 岩体结构面信息数字识别及强度评价(硕士学位论文). 沈阳: 东北大学.

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Intelligent Interpretation of Rock Mass Discontinuity Based on Three-Dimensional Laser Point Cloud

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