Volume 21 Issue 2
Aug.  2021
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LIU Xin-gen, CHEN Ying-ying, LIU Xue-zeng. Laser scanning-based rapid detection of deformation of shield tunnel section[J]. Journal of Traffic and Transportation Engineering, 2021, 21(2): 107-116. doi: 10.19818/j.cnki.1671-1637.2021.02.009
Citation: LIU Xin-gen, CHEN Ying-ying, LIU Xue-zeng. Laser scanning-based rapid detection of deformation of shield tunnel section[J]. Journal of Traffic and Transportation Engineering, 2021, 21(2): 107-116. doi: 10.19818/j.cnki.1671-1637.2021.02.009
shu

Laser scanning-based rapid detection of deformation of shield tunnel section

doi: 10.19818/j.cnki.1671-1637.2021.02.009
  • 1.

    Shanghai Tongyan Civil Engineering Technology Co., Ltd., Shanghai 200092, China

  • 2.

    Shanghai Engineering Research Center of Detecting Equipment for Underground Infrastructure, Shanghai 200092, China

  • 3.

    Engineering Research Center of Civil-Informatics of Ministry of Education, Tongji University, Shanghai 200092, China

Funds:

National Key Research and Development Program of China 2018YFB2101004

National Natural Science Foundation of China 41827807

More Information
  • Author Bio:

    LIU Xin-gen(1981-), male, senior engineer, xuezhongfei2000@163.com

  • Corresponding author: CHEN Ying-ying(1990-), female, engineer, joy543@live.com
  • Received Date: 2020-10-11
  • Publish Date: 2021-04-25
    Abstract
  • In view of existing technical problems such as low efficiency of manual detection, inaccurate positioning of deformation detection vehicle, difficulty in noise elimination and lag of data processing, a rapid automatic method to identify circumferential seams was proposed based on mathematical morphological characteristics of grayscale images of shield tunnel segment circumferential seams of and image sliding windows. The proposed method includes histogram equalization, scaling, and threshold determination. In addition, the tunnel mileage was reversely corrected according to the known positions of circumferential seams. Based on the ellipse curve fitting by the distance least square method, a three-fold iteration method for the automatic elimination of laser scanning noise in shield tunnels was established. The fitting ellipses for the single-ring laser scanning data of segment rings were subjected to the mean value processing. The results were compared with the tunnel design parameters or the last test results to identify the deformation along the tunnel section. A rapid detection vehicle to identify the deformation along the shield tunnel section was built by installing the 3D laser scanner, inclinometer, encoder, ranging wheel, computer, and other equipment. The supporting data acquisition and processing software were also developed, and the engineering experiment and practical application were conducted. Research result indicates that when the detection speed is 5 km·h-1, 98.41% and 96.21% of the absolute differences between repeat measurements of horizontal and vertical diameters of tunnel by the detection vehicle system are less than 2 mm, respectively. 82.36% and 71.92% of the absolute differences are less than 1 mm, respectively. The repeat measurements accuracy of the system is 2 mm, most of which can reach 1 mm. This shows that the circumferential seam identification, noise elimination, whole ring convergence deformation algorithm and detection system have high stability and reproducibility. The detection vehicle can automatically collect and process data. The test analysis report can be output 24 h after the detection. The results are accurate and reliable. They can provide references for the health evaluation and maintenance of shield tunnel structures. 2 tabs, 22 figs, 30 refs.

     

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