Advertisement

An Automatic Data Processing Method for Deformation Analysis and Visualization of Tunnel Cross Sections Using Laser Scanning Data

  • Zixin Zhang
  • Tong Yin
  • Xin Huang
  • Fan Zhang
Conference paper

Abstract

Based on Laser Scanning Technology (LST), a data processing method is proposed to automatically visualize the tunnel cross sections and collect deformation information. In this method, Cartesian coordinates of each data point are transferred to polar coordinates, and two-dimensional tunnel cross sections can be extracted from three-dimensional point cloud data obtained by LST. The tunnel deformation is calculated by subtracting radius vectors of deformed cross section from design cross section and visualized through adjustable deformation factors. The deformation data at arbitrary azimuthal angles could be gained with an accuracy of 0.1 mm. To achieve the ideal calculation accuracy and ensure visualization performance, a novel algorithm adopting point discretization and regeneration technique is developed to automatically detect and treat the noise and discontinuity points from the point cloud data. While the traditional data processing methods could only handle a specific type of tunnel cross section, the proposed method by us is able to deal with arbitrary shapes of tunnel sections as long as three-dimensional cloud data are available. The results show that the proposed method could provide accurate deformation data with high data processing efficiency for monitoring the deformation of tunnel cross sections in laboratory, and potentially for real-life tunnels.

Keywords

Laser scanning technology Data processing Tunnel cross section 

Notes

Acknowledgement

The research was financed by the Natural Science Foundation of China (No. 41372276). The technical support from the staff of Shanghai Tunnel Engineering Co. Ltd. are highly appreciated.

References

  1. 1.
    Nuttens, T., Stal, C., De Backer, H., Schotte, K., Van Bogaert, P., De Wulf, A.: Methodology for the ovalization monitoring of newly built circular train tunnels based on laser scanning: Liefkenshoek Rail Link (Belgium). Autom. Constr. 43, 1–9 (2014)CrossRefGoogle Scholar
  2. 2.
    Schueremans, L., Van Genechten, B.: The use of 3D-laser scanning in assessing the safety of masonry vaults—a case study on the church of Saint-Jacobs. Opt. Lasers Eng. 47, 329–335 (2009)CrossRefGoogle Scholar
  3. 3.
    Clarke, T.A.: A Review of Tunnel Profiling Methods (1996)Google Scholar
  4. 4.
    Wang, W., Zhao, W., Huang, L., Vimarlund, V., Wang, Z.: Applications of terrestrial laser scanning for tunnels: a review. J. Traffic Transp. Eng. (Engl. Ed.) 1(5), 325–337 (2014)CrossRefGoogle Scholar
  5. 5.
    Yoon, J.-S., Sagong, M., Lee, J.S., Lee, K.: Feature extraction of a concrete tunnel liner from 3D laser scanning data. NDT&E Int. 42, 97–105 (2009)CrossRefGoogle Scholar
  6. 6.
    Pejić, M.: Design and optimisation of laser scanning for tunnels geometry inspection. Tunn. Undergr. Space Technol. 37, 199–206 (2013)CrossRefGoogle Scholar
  7. 7.
    Fekete, S., Diederichs, M., Lato, M.: Geotechnical and operational applications for 3-dimensional laser scanning in drill and blast tunnels. Tunn. Undergr. Space Technol. 25, 614–628 (2010)CrossRefGoogle Scholar
  8. 8.
    Han, S., Cho, H., Kim, S., Jung, J., Heo, J.: Automated and efficient method for extraction of tunnel cross sections using terrestrial laser scanned data. J. Comput. Civil Eng. 27(3), 274–281 (2013)CrossRefGoogle Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  • Zixin Zhang
    • 1
    • 2
  • Tong Yin
    • 1
    • 2
  • Xin Huang
    • 1
    • 2
  • Fan Zhang
    • 1
    • 2
  1. 1.Department of Geotechnical Engineering, College of Civil EngineeringTongji UniversityShanghaiPeople’s Republic of China
  2. 2.Key Laboratory of Geotechnical Engineering, Ministry of EducationTongji UniversityShanghaiPeople’s Republic of China

Personalised recommendations