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Review on diseased tunnel health diagnosis and reinforcement technologies
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Yujing JIANG1, 2, 3, Zhutian PAN2, Xuepeng ZHANG**, 1, 2, Ningbo LI4
China Safety Science Journal | 2025, 35(11) : 139 - 148
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China Safety Science Journal | 2025, 35(11): 139-148
• Public safety •
Review on diseased tunnel health diagnosis and reinforcement technologies
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Yujing JIANG1, 2, 3, Zhutian PAN2, Xuepeng ZHANG**, 1, 2, Ningbo LI4
Affiliations
  • 1State Key Laboratory of Disaster Prevention and Ecology Protection in Open-pit Coal Mines, Shandong University of Science and Technology, Qingdao Shandong 266590, China
  • 2College of Safety and Environmental Engineering, Shandong University of Science and Technology, Qingdao Shandong 266590, China
  • 3School of Engineering, Nagasaki University, Nagasaki 852-8521, Japan
  • 4General Institute of Water Resources and Hydropower Planning and Design, Ministry of Water Resources, Beijing 100120, China
Published: 2025-11-28 doi: 10.16265/j.cnki.issn1003-3033.2025.11.0116
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In order to reduce tunnel lining diseases and extend the safe service life, a diagnostic framework for tunnel lining diseases was constructed, and maintenance and reinforcement methods for diseased tunnels were explored from the perspectives of diagnosis and reinforcement. The application status of technologies for diagnosing tunnel diseases and maintaining/reinforcing tunnels was reviewed. The advantages and disadvantages of various detection technologies were systematically identified, and disease diagnosis methods and reinforcement measures were summarized. The results show that non-destructive testing technologies have evolved from single/semi-automatic to integrated/intelligent systems. Acoustic wave, ground-penetrating radar, and laser scanning technologies have different efficiency and accuracy characteristics. Although automatic detection systems integrating photogrammetry and multi-sensor fusion have gradually been applied, they face challenges in the synchronous detection of multiple diseases. Traditional maintenance and reinforcement technologies are difficult to meet the requirements of low cost and high safety. Although new technologies such as Fiber Reinforced Polymer (FRP) are advantageous, they have issues such as high cost and insufficient environmental adaptability.

disease tunnels  /  lining diseases  /  non-destructive testing  /  health diagnosis  /  maintenance and reinforcement technology
Yujing JIANG, Zhutian PAN, Xuepeng ZHANG, Ningbo LI. Review on diseased tunnel health diagnosis and reinforcement technologies[J]. China Safety Science Journal, 2025 , 35 (11) : 139 -148 . DOI: 10.16265/j.cnki.issn1003-3033.2025.11.0116
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Year 2025 volume 35 Issue 11
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Article Info
doi: 10.16265/j.cnki.issn1003-3033.2025.11.0116
  • Receive Date：2025-06-14
  • Online Date：2026-07-09
  • Published：2025-11-28
Article Data
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History
  • Received：2025-06-14
  • Revised：2025-08-18
Funding
Affiliations
    1State Key Laboratory of Disaster Prevention and Ecology Protection in Open-pit Coal Mines, Shandong University of Science and Technology, Qingdao Shandong 266590, China
    2College of Safety and Environmental Engineering, Shandong University of Science and Technology, Qingdao Shandong 266590, China
    3School of Engineering, Nagasaki University, Nagasaki 852-8521, Japan
    4General Institute of Water Resources and Hydropower Planning and Design, Ministry of Water Resources, Beijing 100120, China
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表12种不同金属材料的力学参数
科
Family		 属数
Number of
genus		 种数
Number of
species		 占总种数比例
Percentage of
total species (%)		 属
Genus		 种数
Number of
species		 占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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