A Rapid Shield Tunnel Profile Measuring Method Based on Close-range Photogrammetry

被引:0
|
作者
Shen K. [1 ]
Zhang S. [2 ,3 ]
Li S. [2 ]
Liu J. [4 ]
Guo Y. [5 ]
Xue Y. [2 ]
机构
[1] School of Civil Engineering and Architecture, Zhejiang University of Science and Technology, Hangzhou
[2] Department of Geotechnical Engineering, Tongii University, Shanghai
[3] China Changjiang Construction Investment Corp. Ltd., Chengdu
[4] Kunming Survey, Design and Research Institute Co. Ltd of CREEC, Kunming
[5] China Railway Kunming Group Co., Ltd., Kunming
来源
关键词
Close-range photogrammetry; Laser measuring; Shield tunnel; Tunnel profile;
D O I
10.3969/j.issn.1001-8360.2021.10.017
中图分类号
学科分类号
摘要
With the rapid development of tunnel construction in China and growing demand for tunnel inspection, the tunnel measurement task becomes increasingly imperative. Currently, as traditional methods cannot meet the increasing inspection requirements of a large number of tunnels anymore, a new efficient and precise measuring method is urgently needed. A novel method of measuring tunnel profile based on the close-range photogrammetry was proposed in this article, where a linear laser source was used to set massive target points on the lining section, forming the profile to be solved. Laser range-finders were installed to project several control points, whose corresponding distance and angle were recorded. On the basis of 2D-DLT (Direct Linear Translation) equations, the tunnel profile was fitted. Based on the principles above, a dedicated inspection system MTPM-1 was designed and manufactured. Relevant algorithms were programmed. Field tests were carried out in a tunnel. The impact of image resolution as well as the number and distribution of control points on the fitting precision was analyzed thoroughly. A standard operating procedure for determining the optimal image resolution, the number of optimal control points, and the distribution of optimal control points was proposed. For different structural sections or different measurement requirements, the optimal image resolution, the optimal number of control points and their distribution form can be determined. For the tunnel with an inner diameter of 5.5 m, the maximum error was below 5 mm when eight uniformly-distributed control points were used with image resolution of 2 957×1 958 pixels. It proves the strong feasibility and high accuracy of the method. The further optimization design scheme of this method was proposed, including shooting distance optimization design, fish eye lens optimization design and dual laser optimization design. This method realized rapid and economical inspection of shield tunnel profile. © 2021, Department of Journal of the China Railway Society. All right reserved.
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收藏
页码:136 / 146
页数:10
相关论文
共 18 条
  • [1] ZHU Lei, HUANG Hongwei, Review on The Influence of Shield Tunneling in Soft Soil on Adjacent Existing Tunnel, Chinese Journal of Underground Space and Engineering, 6, S2, pp. 1692-1695, (2010)
  • [2] WU Jiangbin, ZHANG Dingli, WANG Mengshu, Current Damage Situation of Railway Operation Tunnels and Their Inspection and Evaluation, China Safety Science Journal, 13, 6, pp. 52-55, (2003)
  • [3] ZHAO Yong, LU Gang, LIU Jianyou, Et al., Key Technology Innovation and Application of Tsinghuayuan Tunnel Construction in Beijing-Zhangjiakou High-speed Railway, Railway Standard Design, 64, 1, pp. 109-115, (2020)
  • [4] SUN Bin, DING Cong, Design and Advantage Introduction of Steel Fiber Concrete Segments of Shield Tunnel High Speed Railway [J], Journal of Hebei University of Technology, 44, 6, pp. 112-115, (2015)
  • [5] LU Daiyue, WANG Shimin, HE Chuan, Et al., Research on Effects of Adjacent Construction of New Shield Tunnel on Longitudinal Deformation of Existent Tunnel, Journal of the China Railway Society, 38, 10, pp. 108-116, (2016)
  • [6] YANG Enhui, ZHANG Aonan, YANG Rongshan, Et al., Automatic Detection Method for High-speed Railway Ballastless Track Surface Cracks Based on 3D Image Technology, Journal of the China Railway Society, 41, 11, pp. 95-99, (2019)
  • [7] XIE Xiongyao, LU Xiaozhi, TIAN Haiyang, Et al., Development of a Modeling Method for Monitoring Tunnel Deformation Based on Terrestrial 3D Laser Scanning, Chinese Journal of Rock Mechanics and Engineering, 32, 11, pp. 2214-2224, (2013)
  • [8] BAI Yongxue, QI Taiyue, LI Youdao, Et al., Prediction for Surface Collapse Deformation of Shield Construction Based on LSSVM, Chinese Journal of Rock Mechanics and Engineering, 32, S2, pp. 3666-3674, (2013)
  • [9] HUANG Hongwei, LI Qingtong, Image recognition for water leakage in shield tunnel based on deep learning, Chinese Journal of Rock Mechanics and Engineering, 36, 12, pp. 2861-2871, (2017)
  • [10] XU D S, ZHAO Y M, LIU H B, Et al., Deformation Monitoring of Metro Tunnel with a New Ultrasonic-based System [J], Sensors, 17, 8, (2017)