Abstract

A rapid, precise and automated means for the regular inspection and maintenance of a large number of tunnels is needed. Based on the depth study of the tunnel monitoring method, the CNU-TS-1 mobile tunnel monitoring system (TS1) is developed and presented. It can efficiently obtain the cross-sections that are orthogonal to the tunnel in a dynamic way, and the control measurements that depend on design data are eliminated. By using odometers to locate the cross-sections and correcting the data based on longitudinal joints of tunnel segment lining, the cost of the system has been significantly reduced, and the interval between adjacent cross-sections can reach 1–2 cm when pushed to collect data at a normal walking speed. Meanwhile, the relative deformation of tunnel can be analyzed by selecting cross-sections from original data. Through the measurement of the actual tunnel, the applicability of the system for tunnel deformation detection is verified, and the system is shown to be 15 times more efficient than that of the total station. The simulation experiment of the tunnel deformation indicates that the measurement accuracy of TS1 for cross-sections is 1.1 mm. Compared with the traditional method, TS1 improves the efficiency as well as increases the density of the obtained points.

Highlights

  • With the rapid development of China’s construction industry, the construction of railways and urban rail transit infrastructure have increased at an unprecedented rate

  • The whole process does not need a control measurement, which eliminates the dependence on tunnel design data in traditional methods

  • Experiment results in the Chengdu subway tunnel indicate that the density of the adjacent cross-sections and the density of the cross-sectional points obtained by TS1 have been greatly improved, which can provide a basis for the detailed analysis of tunnel deformation

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Summary

Introduction

With the rapid development of China’s construction industry, the construction of railways and urban rail transit infrastructure have increased at an unprecedented rate. A large number of high speed railways with high tunnel line ratios have been appearing, and the proportion of subway to urban rail transit is up to 80%. High speed railways and subway tunnels have long operation times and short skylight periods, and there is a special need for a rapid, accurate and automatic detection method for the tunnel. The means of tunnel deformation detection mainly include the total station, a laser tunnel cross-section profiler, terrestrial laser scanners, etc. The total station detects the tunnel by measuring the characteristic points of level diameter or obtaining discrete cross-sectional points. Based on a small number of cross-sectional points, the tunnel cross-section lines

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