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隧道建设(中英文) ›› 2021, Vol. 41 ›› Issue (S2): 655-663.DOI: 10.3973/j.issn.2096-4498.2021.S2.084

• 监控与维护 • 上一篇    下一篇

地铁隧道结构表观病害快速检测方法与应用

路耀邦1, 2, 刘永胜1, 2, 樊晓东3   

  1. 1. 中铁隧道勘察设计研究院有限公司, 广东  广州 511458 2. 广东省隧道结构智能监控与维护企业重点实验室, 广东  广州 511458 3. 南京火眼猴信息科技有限公司, 江苏 南京 210012
  • 出版日期:2021-12-31 发布日期:2022-03-18
  • 作者简介:路耀邦(1986—),男,河南扶沟人,2011 年毕业于河南理工大学,桥梁与隧道工程专业,硕士,高级工程师,现从事隧道及地下工程领域的BIM设计与施工应用工作。 E-mail: 416184974@qq.com。

Rapid Detection Method for Surface Defect for Metro Tunnel Structure and Its Application

LU Yaobang1, 2 LIU Yongsheng1, 2 FAN Xiaodong3   

  1. (1. China Railway Tunnel Consultants Co., Ltd., Guangzhou 511458, Guangdong, China; 2. Key Laboratory of Intelligent Monitoring and Maintenance of Tunnel Structure, Guangzhou 511458, Guangdong, China; 3. Nanjing Fireeye Monkey Information Technology Co., Ltd., Nanjing 210012, Jiangsu, China)

  • Online:2021-12-31 Published:2022-03-18

摘要: 为有效解决地铁隧道表观病害检测车的适用性和病害识别的精准性问题,以A市轨道交通B线为例,采用隧道表观病害检测车开展表观病害数据采集、处理、分析和健康评估,并从检测效率、检测精度和病害识别率3个方面,将设备检测结果与人工检测结果对比分析。结果表明: 1)该隧道表观病害以裂缝为主,约占65%,渗漏水和剥落掉块占比相对较小; 2)裂缝最大宽度主要集中在0.2~0.5 mm,裂缝最长达3.7 m,剥落掉块面积基本在0.04 m2内,二者健康度以2级为主;渗漏水面积集中在0~0.5 m2,健康度评定为1级; 3)与人工检测相比,设备检测优势明显,大幅提高检测速度,节约人工71%,病害总体识别率达到928%,可检测出0.2 mm以上宽度的裂缝,以及1 cm2以上面积的渗漏水和剥落掉块,大幅提高表观病害检测质量和效率,节约隧道养护成本。并根据表观病害检测结果提出地铁隧道合理化维修建议。

关键词: 地铁隧道, 表观病害检测, 检测车, 裂缝, 渗漏水, 剥落掉块

Abstract: To effectively solve the problems of applicability of surface defect detection equipment and accuracy of defect identification in metro tunnel, a case study is conducted on the rail transit line B of City A. The surface defect detection vehicle is adopted to carry out surface defect data collection, processing, analysis, and health assessment. The detection results of equipment and manual detection are compared and analyzed from three aspects of detection efficiency, detection accuracy, and defect identification rate. The results show the following: (1) The surface defects are mainly cracks, accounting for approximately 65%, and the proportion of water leakage and spalling is relatively small. (2) The maximum width of cracks is mainly concentrated between 0.2 mm and 0.5 mm, the maximum length of cracks is 3.7 m, and the area of spalling blocks is basically within 0.04 m2, whose health degree is mainly grade 2. The leakage area is concentrated in the range of 0~0.5 m2, the defect is rated as grade 1. (3) Compared with manual detection, the equipment detection is superior, which can greatly increase the detection speed, save the labor consumption by 71%, reach an overall defect recognition rate of 92.8%, and detect the cracks with a width of 0.2 mm or more as well as the leakage and spalling of more than 1 cm2, greatly improving the quality and efficiency of surface defect detection, and saving the tunnel maintenance costs. Finally, reasonable maintenance suggestions are put forward according to the surface defect detection results.

Key words: metro tunnel, surface defect monitoring, inspection vehicle, crack, water leakage, spalling