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    Refinement Identification and Evaluation of Tunnel Lining Cracks

    Source: Journal of Highway and Transportation Research and Development (English Edition):;2020:;Volume ( 014 ):;issue: 001
    Author:
    Chao Yu
    ,
    Da-xin Geng
    ,
    Zhan-jun Huang
    ,
    Zhi-heng Zhu
    ,
    Yu-feng Shi
    DOI: 10.1061/JHTRCQ.0000719
    Publisher: ASCE
    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, a tunnel surface lining crack identification evaluation system was developed, which provides a convenient, efficient, and comprehensive process for tunnel lining crack detection.
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      Refinement Identification and Evaluation of Tunnel Lining Cracks

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4264829
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    contributor authorChao Yu
    contributor authorDa-xin Geng
    contributor authorZhan-jun Huang
    contributor authorZhi-heng Zhu
    contributor authorYu-feng Shi
    date accessioned2022-01-30T19:11:44Z
    date available2022-01-30T19:11:44Z
    date issued2020
    identifier otherJHTRCQ.0000719.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4264829
    description abstractIn 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, a tunnel surface lining crack identification evaluation system was developed, which provides a convenient, efficient, and comprehensive process for tunnel lining crack detection.
    publisherASCE
    titleRefinement Identification and Evaluation of Tunnel Lining Cracks
    typeJournal Paper
    journal volume14
    journal issue1
    journal titleJournal of Highway and Transportation Research and Development (English Edition)
    identifier doi10.1061/JHTRCQ.0000719
    page75-83
    treeJournal of Highway and Transportation Research and Development (English Edition):;2020:;Volume ( 014 ):;issue: 001
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian