Tunnel Detection Equipment and Recognition Method Discussion and Prospects

Authors

  • Jingcheng Liu
  • Chuang Pu
  • Huan Liu

DOI:

https://doi.org/10.54097/ajst.v7i3.13418

Keywords:

Tunnel engineering; Lining disease; Tunnel detection equipment; Summarize.

Abstract

Traffic construction has always been an important prerequisite to achieve China's economic development and social progress. In a country with rich landforms, mountains and hills account for about 67% of the land area, tunnels play a positive role in improving transportation efficiency and alleviating urban traffic pressure, and the diagnosis and treatment of lining diseases is the primary task to ensure the safe operation of tunnels. In this paper, the development status of lining disease identification criteria, identification technology and identification integrated equipment are elaborated and analyzed in detail, and the treatment of lining disease is briefly discussed. The main conclusions of this paper are as follows: 1. All countries have relevant provisions on the judgment and management of tunnel safety, and the safety classification of tunnels has been basically defined. 2. In view of different disease characteristics of tunnels, the integration of multiple detection technologies is the mainstream trend at present. 3. The development of lining disease detection technology and methods has been relatively perfect, and major countries have mature commercial products for tunnel safety hidden danger detection.

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References

Gong Jiangfeng, Wang Wei, Li Xu, et al. Statistics of railway tunnels in China by the end of 2022 and overview of key tunnels of newly opened projects in 2022 [J]. Tunnel construction (English and Chinese).2023,43(4):721-738, 35- 52.W.-K. Chen, Linear Networks and Systems (Book style). Belmont, CA: Wadsworth, 1993, pp. 123–135.

The Ministry of Transport of the People's Republic of China. 2022 statistical bulletin of transportation industry development [EB/OL].https://xxgk.mot.gov.cn/2020/jigou/zhghs/202306/t20230615_3847023.html

The development trend of China highway tunnel in recent 10 years and thinking [J]. China journal of highway and transport, 2020 (12) : 62-76. The DOI: 10.19721 / j.carol carroll nki. 1001-7372.2020.12.005.

Yang Lingzhi, Fang Enquan. Review and development trend of structural disease detection technology of rail transit tunnel [J]. Urban Rapid Transit.2017,30(1):20-25,76.

FLEMING G. Highway and Rail Transit Tunnel Inspection Manual [2003] [J]. 2003.

Richtlinie 853 Eisenbahntunnel planen, bauen und instandhalten : gültig ab 01.06.2002[M].Losebl.-Ausg ed. Frankfurt, 2002.

Ichikawa, a. standard for maintenance and management of railway structures commentary (standard for maintenance and management) [J]. Lecture of the railway technology promotion center, rtri,2006 "outline of maintenance standards and track maintenance practices for civil engineering structures",2006.

Ministry of Transport of the People's Republic of China. JTG H12-2015 Technical specification for Highway tunnel maintenance [S].

Ministry of Housing and Urban-Rural Development, People's Republic of China. CJJT 289-2018 Technical standard of Urban rail transit tunnel structure maintenance [S].

TB/T 2820.2-1997, Standard for assessment of deterioration of railway bridge and tunnel buildings. The tunnel [S].

Liao Jianghai. Research on rapid detection method of tunnel apparent diseases [D]. Shenzhen University, 2020.

Wang Zhaoyuan. Research on tunnel disease detection method with Multi-sensor integration [D]. Hubei University of Technology,2020.

Quan Yan-nan, Wu Song-Hua, Tan Jie, et al. Infrared self-detection technology of water leakage in immersed tube tunnel [J]. Laser and Infrared.2023,53(2):237-245

Wang Pingrang. Analysis and comparison of the status quo of rapid tunnel disease detection technology [J]. Highway and Automobile Transportation,2016,23(3):241-245.

Fang Enquan, Wang Yaodong, Yuan Minzheng, et al. Intelligent vision acquisition System for surface Crack of subway tunnel [J]. Journal of Railway Science and Engineering. 2019, 16(4): 1074-1080.

LIU Xing-gen, Chen Ying-ying, LIU Xue-Zeng. Rapid detection of laser scanning of shield tunnel cross section deformation [J]. Journal of transportation engineering, 2021, 21 (02) : 107-116. The DOI: 10.19818 / j.carol carroll nki. 1671-1637.2021.02.009.

UKAI M. Advanced inspection system of tunnel wall deformation using image processing[J].Quarterly Report of RTRI,2007,48(2):94-98.

Fang Enquan, Wang Yaodong, Yuan Minzheng, et al. Intelligent vision acquisition System for surface Crack of subway tunnel [J]. Journal of Railway Science and Engineering. 2019, 16(4): 1074-1080.

Tabrizi K,Celaya M,Miller B S. Damage assessment of tunnel lining by mobile laser scanning[J].Transportation Research Record: Journal of the Transportation Research Board,2017 2642:166-179.

Yang Lingzhi, FANG Enquan. Review and development trend of Structural disease detection technology of rail transit tunnel [J]. Urban rapid Transit, 2017, 30 (1):20-25.

Shanghai Tongyan civil Engineering Technology Co., LTD. The utility model relates to a highway tunnel inspection vehicle system; China,CN201710001877.6[P]. 2017-05-17.

The first tunnel rapid inspection vehicle in China was launched in Wuhan. Chinese network [EB/OL]. http://www.chinahighway.com/news/2015/905076.php

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Published

29-10-2023

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Section

Articles

How to Cite

Liu, J., Pu, C., & Liu, H. (2023). Tunnel Detection Equipment and Recognition Method Discussion and Prospects. Academic Journal of Science and Technology, 7(3), 287-291. https://doi.org/10.54097/ajst.v7i3.13418