中国安全科学学报 ›› 2025, Vol. 35 ›› Issue (11): 139-148.doi: 10.16265/j.cnki.issn1003-3033.2025.11.0116

• 公共安全 • 上一篇    下一篇

隧道病害健康诊断及维修加固技术研究综述

蒋宇静1,2,3(), 潘竹田2, 张学朋1,2,**(), 李宁博4   

  1. 1 山东科技大学 露天煤矿灾害防治与生态保护全国重点实验室,山东 青岛 266590
    2 山东科技大学 安全与环境工程学院,山东 青岛 266590
    3 长崎大学 工学研究科, 日本 长崎 852-8521
    4 水利部 水利水电规划设计总院,北京 100120
  • 收稿日期:2025-06-14 修回日期:2025-08-18 出版日期:2025-11-28
  • 通信作者:
    ** 张学朋 副研究员 (1989—),男,山东滨州人,博士,副研究员,主要从事隧道及地下工程灾害防控理论与技术方面的研究。E-mail:
  • 作者简介:

    蒋宇静 教授 (1962—),男,江苏靖江人,博士,教授,日本工程院外籍院士,主要从事矿山及地下工程灾害防控理论与技术方面的研究。E-mail:

    李宁博 高级工程师。

  • 基金资助:
    国家自然科学基金资助(52109132); 山东省高等学校青年创新团队发展计划(2024KJH065)

Review on diseased tunnel health diagnosis and reinforcement technologies

JIANG Yujing1,2,3(), PAN Zhutian2, ZHANG Xuepeng1,2,**(), LI Ningbo4   

  1. 1 State Key Laboratory of Disaster Prevention and Ecology Protection in Open-pit Coal Mines, Shandong University of Science and Technology, Qingdao Shandong 266590, China
    2 College of Safety and Environmental Engineering, Shandong University of Science and Technology, Qingdao Shandong 266590, China
    3 School of Engineering, Nagasaki University, Nagasaki 852-8521, Japan
    4 General Institute of Water Resources and Hydropower Planning and Design, Ministry of Water Resources, Beijing 100120, China
  • Received:2025-06-14 Revised:2025-08-18 Published:2025-11-28

摘要:

为减少隧道衬砌病害,延长隧道的安全使用年限,从隧道病害诊断和维修加固角度出发,构建隧道衬砌病害诊断框架,探索病害隧道维修加固手段。通过综述分析隧道病害健康诊断及维修加固技术的应用现状,系统梳理各类检测技术的优缺点,总结病害诊断方法与补强措施。研究结果表明:无损检测技术已从单一化、半自动化向集成化、智能化发展,声波法、地质雷达法、激光扫描等技术在效率与精度上各有特性,摄影测量与多传感器融合的自动检测系统逐步应用但存在多病害同步检测瓶颈;维修加固技术中,传统方法难以满足低成本、高安全性需求,纤维增强复合材料(FRP)等新型技术虽具优势但存在成本高、环境适应性不足等问题。

关键词: 病害隧道, 衬砌病害, 无损检测, 健康诊断, 维修加固技术

Abstract:

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.

Key words: disease tunnels, lining diseases, non-destructive testing, health diagnosis, maintenance and reinforcement technology

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