Refinement Identification and Evaluation of Tunnel Lining Cracks
余超1, 耿大新1, 黄展军2, 祝志恒3, 石钰锋1
1. School of Civil Engineering and Architecture, East China Jiaotong University, Nanchang Jiangxi 330013, China;
2. Nanchang Rail Transit Group Co., Ltd., Nanchang Jiangxi 330038, China;
3. Civil engineering of Central South University, Changsha Hunan 410075, China
Refinement Identification and Evaluation of Tunnel Lining Cracks
YU Chao1, GENG Da-xin1, HUANG Zhan-jun2, ZHU Zhi-heng3, SHI Yu-feng1
1. School of Civil Engineering and Architecture, East China Jiaotong University, Nanchang Jiangxi 330013, China;
2. Nanchang Rail Transit Group Co., Ltd., Nanchang Jiangxi 330038, China;
3. Civil engineering of Central South University, Changsha Hunan 410075, China
摘要In order to study the precise description and feature quantification of the tunnel lining crack morphology, the paper uses the tunnel lining panoramic image method to rely on the Wujing Expressway Qingyantou Tunnel as the project, and the lining crack image acquired by the tunnel lining expansion image generator to carry out the feature points. Extraction, matching, model recognition, image expansion and splicing processing are used to obtain a comprehensive reflection of the tunnel lining panoramic expansion image. The algorithm is analyzed from the aspects of image enhancement preprocessing, image edge detection, crack feature area interference point removal, crack connection and feature statistics, and the boundary position of the crack is found by the connected area labeling method to determine the spatial position and angular direction of the defect in the image. Using the principle of crack pixel position relationship to calculate the crack length, so as to extract the detailed feature information of the lining crack, develop a tunnel surface lining crack identification evaluation system, which provides a convenient, efficient and comprehensive for tunnel lining crack detection. Comprehensive detection system.
Abstract：In order to study the precise description and feature quantification of the tunnel lining crack morphology, the paper uses the tunnel lining panoramic image method to rely on the Wujing Expressway Qingyantou Tunnel as the project, and the lining crack image acquired by the tunnel lining expansion image generator to carry out the feature points. Extraction, matching, model recognition, image expansion and splicing processing are used to obtain a comprehensive reflection of the tunnel lining panoramic expansion image. The algorithm is analyzed from the aspects of image enhancement preprocessing, image edge detection, crack feature area interference point removal, crack connection and feature statistics, and the boundary position of the crack is found by the connected area labeling method to determine the spatial position and angular direction of the defect in the image. Using the principle of crack pixel position relationship to calculate the crack length, so as to extract the detailed feature information of the lining crack, develop a tunnel surface lining crack identification evaluation system, which provides a convenient, efficient and comprehensive for tunnel lining crack detection. Comprehensive detection system.
基金资助:Supported by the Nature Regional Science Foundation of China(Nos.51768020,51768021,51768022); JiangXi Transportation Science and Technology Project(No.2016D0039); GuiZhou Transportation Science and Technology Project(No.2018-133-042,2018-123-040)
通讯作者:
YU Chao
E-mail: 553824132@qq.com
引用本文:
余超, 耿大新, 黄展军, 祝志恒, 石钰锋. Refinement Identification and Evaluation of Tunnel Lining Cracks[J]. Journal of Highway and Transportation Research and Development, 2020, 14(1): 75-83.
YU Chao, GENG Da-xin, HUANG Zhan-jun, ZHU Zhi-heng, SHI Yu-feng. Refinement Identification and Evaluation of Tunnel Lining Cracks. Journal of Highway and Transportation Research and Development, 2020, 14(1): 75-83.
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2020, Vol. 14 
