3D Reconstruction Method of Tunnel Surrounding Rock Fracture Based on VTK

Authors

LIU Houxiang, School of Civil Engineering , Changsha University of Science & Technology , Changsha ，Hunan 410114 , ChinaFollow
SU Heng, School of Civil Engineering , Changsha University of Science & Technology , Changsha ，Hunan 410114 , China

Abstract

Fracture parameters are important reference factors for surrounding rock stability analysis.To realize the visualization analysis of surrounding rock fractures，this paper proposed a three-dimensional （3D） reconstruction method of surrounding rock fractures based on the visualization toolkit （VTK）.Firstly，the collected tunnel surrounding rock images were preprocessed by OpenCV for image grayscale and noise reduction.Secondly，the Otsu method and the open operation in morphology were used to segment the image，and the complete surrounding rock fracture map was obtained.Then，the median method was used to replace the linear interpolation method with the traditional Marching Cubes algorithm in VTK to calculate the equivalent point，and the improved Marching Cubes algorithm was used to carry out the 3D reconstruction of the processed fracture image.Finally，the 3D model reconstruction rates of the improved algorithm were compared with that of the original algorithm.The results show that ① by applying VTK to 3D reconstruction of tunnel surrounding rock fractures，a complete 3D model of fractures can be obtained to realize 3D reconstruction of local surrounding rock fractures；② there are no significant differences between the two algorithms in the 3D model of fractures，but the 3D model reconstruction rate of the improved algorithm is increased by 18%.

Publication Date

12-17-2024

DOI

10.14048/j.issn.1671-2579.2024.06.026

First Page

226

Last Page

232

Submission Date

February 2025

Recommended Citation

Houxiang, LIU and Heng, SU (2024) "3D Reconstruction Method of Tunnel Surrounding Rock Fracture Based on VTK," Journal of China & Foreign Highway: Vol. 44: Iss. 6, Article 26.
DOI: 10.14048/j.issn.1671-2579.2024.06.026
Available at: https://zwgl1980.csust.edu.cn/journal/vol44/iss6/26

Reference

[1]陈兴 ,苏卫迪 ,蒋雅君 ,等.岩溶地区隧道衬砌施工缝渗漏水处治技术 [J].中外公路 ,2022 ,42(2):193-196.CHEN Xing ,SU Weidi ,JIANG Yajun ,et al .Treatment technology of water leakage in tunnel lining construction joints in Karst area [J].China-foreign highway ,2022 ,42(2): 193-196.
[2]万建国 ,张政 ,阳德志 .浅埋偏压公路隧道衬砌裂损病害统计及成因反演分析 [J].中外公路 ,2021 ,41(3): 241-245.WAN Jianguo ,ZHANG Zheng ,YANG Dezhi .Statistics and cause inversion analysis of cracking damage of shallow-buried highway tunnel lining with eccentric pressure [J].Journal of China & Foreign Highway ,2021 ,41(3): 241-245.
[3]刘建华，樊振阳，陈子俊，等.基于 BIM技术的地铁隧道结构监测系统应用研究 [J].中外公路 ，2023 ,43（6） ：261-266.LIU Jianhua ，FAN Zhenyang ，CHEN Zijun ，et al .Application research on subway tunnel structure monitoring system based on BIM technology [J].Journal of China & Foreign Highway ,2023，43(6):261-266.
[4]彭守建 ,吴斌 ,许江 ,等.基于 CGAL的岩石裂隙面三维重构方法研究 [J].岩石力学与工程学报 ,2020 ,39(增刊 2):3450 -3463 .PENG Shoujian ,WU Bin ,XU Jiang ,et al .Research on 3D reconstruction method of rock fracture surface based on CGAL [J].Rock Mechanics and Engineering ,2020 ,39(sup 2):3450 -3463 .
[5]谢壮 ,陈宝林 ,傅金阳 ,等.基于机器视觉三维重建技术的隧道掌子面岩体结构数字识别方法及应用 [J].铁道科学与工程学报 ,2019 ,16(4): 1001 -1007 .XIE Zhuang ,CHEN Baolin ,FU Jinyang ,et al .Digital identification and application of rock mass structure on tunnel excavation face based on computer vision 3D reconstruction [J].Journal of Railway Science and Engineering ,2019 ,16(4): 1001 -1007 .
[6]李赤谋 ,吕明 ,袁青 ,等.基于三维重建与 Unet神经网络的隧道掌子面围岩快速分级技术 [J].隧道建设 (中英文 ),2022 ,42(1): 33-40.LI Chimou ,LYU Ming ,YUAN Qing ,et al .Rapid classification technology of surrounding rock of tunnel face based on three-dimensional reconstruction and unet neural networks [J].Tunnel Construction ,2022 ,42(1): 33-40.
[7]GARCÍA-LUNA R ,SENENT S ,JURADO-PIA R , et al .Structure from motion photogrammetry to characterize underground rock masses :Experiences from two real tunnels [J].Tunnelling and Underground Space Technology Incorporating Trenchless Technology Research ,2019 ,83: 262-273.
[8]XUE Y D ,ZHANG S ,ZHOU M L ,et al .Novel SfM-DLT method for metro tunnel 3D reconstruction and visualization [J].Underground Space ,2021 ,6(2): 134-141.
[9]ZHAO J Y ,WANG F Y ,CAI J C .3D tight sandstone digital rock reconstruction with deep learning [J].Journal of Petroleum Science and Engineering ,2021 ,207: 109020 .
[10]赵红华 ,刘聪 ,唐小微 ,等.基于透明土和三维重构技术的空间变形可视化测量系统的研究 [J].岩土力学 ,2020 ,41(9): 3170 -3179 .ZHAO Honghua ,LIU Cong ,TANG Xiaowei ,et al .Study of visualization measurement system of spatial deformation based on transparent soil and three-dimensional reconstruction technology [J].Rock and Soil Mechanics ,2020 ,41(9): 3170 -3179 .
[11]李丽萍 .基于双目立体视觉的隧道围岩形变监测系统[D].西安 : 长安大学 ,2021 .LI Liping .Monitoring system of tunnel surrounding rock deformation based on binocular stereo vision [D].Xi’an: Chang’an University ,2021 .
[12]张德丰 .数字图像处理 : MATLAB 版[M].2版.北京 : 人民邮电出版社 ,2015 .ZHANG Defeng .Digital image processing [M].2nd ed .Beijing : Posts & Telecom Press ,2015 .
[13]赵高长 ,张磊 ,武风波 .改进的中值滤波算法在图像去噪中的应用 [J].应用光学 ,2011 ,32(4): 678-682.ZHAO Gaochang ,ZHANG Lei ,WU Fengbo .Application of improved median filtering algorithm to image de-noising [J].Journal of Applied Optics ,2011 ,32(4): 678-682.
[14]郭道俊 ,周幸宇 ,许崇帮 ,等.基于 DeepLabV 3+网络改进的快速隧道病害分割方法 [J].公路交通科技 ,2023 ,40(8):127-135.GUO Daojun ，ZHOU Xingyu ，XU Chongbang ,et al .Improved Fast Tunnel Disease Segmentation Method Based on DeepLabV 3+Network [J].Journal of Highway and Transportation Research and Development ,2023 ,40(8):127-135.
[15]QI J ,YANG H T .Research on image segmentation and edge detection technology based on computer vision [J].Journal of Physics : Conference Series ,2021 ,1994 (1): 12035 .
[16]黄鹏 ,郑淇 ,梁超 .图像分割方法综述 [J].武汉大学学报(理学版 ),2020 ,66(6): 519-531.HUANG Peng ,ZHENG Qi ,LIANG Chao .Overview of image segmentation methods [J].Journal of Wuhan University (Natural Science Edition ),2020 ,66(6): 519-531.
[17]曹爽 .基于 OTSU算法的图像阈值分割技术 [D].太原 : 太原理工大学 ,2018 .CAO Shuang .Image threshold segmentation technology based on OTSU algorithm [D].Taiyuan : Taiyuan University of Technology ,2018 .
[18]陈尹刚 .基于数学形态学图像处理算法研究 [J].信息通信,2019 ,32(12): 67-68.CHEN Yingang .Research on image processing algorithms based on mathematical morphology [J].Changjiang Information &Communications ,2019 ,32(12): 67-68.
[19]徐志敬 .基于 VTK的三维流场可视化算法设计与实现[D].哈尔滨 : 哈尔滨工业大学 ,2018 .XU Zhijing .Design and implementation of visualization algorithm for 3D flow field based on VTK [D].Harbin : Harbin Institute of Technology ,2018 .
[20]WANG M N ,LUO H Y ,CUI Q .Three-dimensional reconstruction based on improved marching cubes algorithm [J].Journal of Mechanics in Medicine and Biology ,2020 ,20(9): 2040002 .
[21]陈文驰 .基于 VTK的医学图像三维重建系统研究与实现[D].西安 : 长安大学 ,2016 .CHEN Wenchi .Research and implementation of medical image 3D reconstruction system based on VTK [D].Xi’an: Chang’an University ,2016 .
[22]罗海洋 .基于改进 MC算法的医学图像三维重建方法的研究 [D].哈尔滨 : 哈尔滨理工大学 ,2019 .LUO Haiyang .Research on 3D reconstruction of medical images based on improved MC algorithm [D].Harbin : Harbin University of Science and Technology ,2019 .
[23]帅仁俊 ,陈书晶 .一种改进的 MC三维重建算法 [J].中国数字医学 ,2016 ,11(3): 83-86.SHUAI Renjun ,CHEN Shujing .An improved MC three-dimensional reconstruction algorithm [J].China Digital Medicine ,2016 ,11(3): 83-86.