Technical Papers
Mar 30, 2024

Deformation Measurement of Tunnel Shotcrete Liner Using the Multiepoch LiDAR Point Clouds

Publication: Journal of Construction Engineering and Management
Volume 150, Issue 6

Abstract

To ensure the safety of tunnel construction, it is necessary to accurately and timely measure the deformation of the shotcrete liner during the management of the construction process. The light detection and ranging (LiDAR) technique, known as the reality reproduction technology, provides a new solution for deformation measurement. However, the nonsmooth defects of shotcrete liner and the scattered noise points caused by the nearby dust, as well as a large number of nontunnel structures such as pipes, construction machinery, and vehicles in the obtained tunnel point cloud datasets, hinder the application of point clouds in deformation measurement of shotcrete liner. In this paper, a ring simulation sampling (RSS) method for automatic sampling and deformation measurement of shotcrete liner using the multiepoch LiDAR point clouds is proposed. This method constructs the virtual ring according to shape of the tunnel cross section and emits the rays from the ring to the center of each tunnel cross section. The length difference of the rays arriving at the outer wall of the multiepoch tunnel point clouds is calculated to achieve the analysis of overall and local deformations of the shotcrete liner. The shotcrete liner point clouds generated by the manual modeling and terrestrial laser scanning are tested to validate the effectiveness of the method in extracting the deformation of shotcrete liner. Compared with the conventional total station monitoring, the mean absolute deviation and root mean square error are 1.39 and 1.93 mm, respectively, which indicates that the RSS method could be effectively applied to the deformation measurement of tunnel shotcrete liner.

Practical Applications

Deformation measurement of tunnel shotcrete liner is crucial to safety of tunnel construction and implementation of dynamic parameter design. This study recommends the light detection and ranging (LiDAR) technique. The main work of this paper is to determine whether the tunnel shotcrete lining has been deformed as a whole or locally by comparing the obtained multiepoch high-precision 3D point clouds. Furthermore, the authors propose a method for automatic sampling and deformation measurement of shotcrete liner using the multiepoch LiDAR point clouds. Compared with conventional deformation measurement methods (i.e., the total station and fiber optics) that capture deformation information from a limited number of monitoring points, LiDAR technology enables the high-precision, omnidirectional, and noncontact acquisition of spatial data within tunnels. This serves as a complementary and enhanced tool to tunnel safety monitoring techniques and methodologies. In addition, the adoption of the method proposed in this paper facilitates the quality check of shotcrete liner, including thickness assessment and smoothness detection.

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Data Availability Statement

Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.

Acknowledgments

This work was supported by the Taishan Scholars Program (tstp 20221153), Youth Foundation of Shandong Natural Science Foundation of China (No. ZR2021QE279), and Natural Science Foundation of Shandong Province (No. ZR 2022DKX001). The authors acknowledge all people who provided technical suggestions for this study.

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Go to Journal of Construction Engineering and Management
Journal of Construction Engineering and Management
Volume 150Issue 6June 2024

History

Received: Sep 13, 2023
Accepted: Jan 16, 2024
Published online: Mar 30, 2024
Published in print: Jun 1, 2024
Discussion open until: Aug 30, 2024

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Li-Zhuang Cui, S.M.ASCE [email protected]
Researcher, School of Qilu Transportation, Shandong Univ., Ji’nan 250000, China. Email: [email protected]
Lead Scientist, Ministry of Science and Technology Innovation, Shandong Research Institute of Industrial Technology, Ji’nan 250101, China; Director, School of Qilu Transportation, Shandong Univ., Ji’nan 250000, China. Email: [email protected]
Hongzheng Luo [email protected]
Researcher, School of Qilu Transportation, Shandong Univ., Ji’nan 250000, China. Email: [email protected]
Jianhong Wang [email protected]
Researcher, School of Qilu Transportation, Shandong Univ., Ji’nan 250000, China. Email: [email protected]
Researcher, Dept. of Council, Weifang Hydrodynamics Science and Technology Industry Institute, Weifang 261200, China. Email: [email protected]
Researcher, School of Qilu Transportation, Shandong Univ., Ji’nan 250000, China. Email: [email protected]
Researcher, School of Qilu Transportation, Shandong Univ., Ji’nan 250000, China (corresponding author). Email: [email protected]

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