YaBeSH Engineering and Technology Library

    • Journals
    • PaperQuest
    • YSE Standards
    • YaBeSH
    • Login
    View Item 
    •   YE&T Library
    • ASCE
    • Journal of Computing in Civil Engineering
    • View Item
    •   YE&T Library
    • ASCE
    • Journal of Computing in Civil Engineering
    • View Item
    • All Fields
    • Source Title
    • Year
    • Publisher
    • Title
    • Subject
    • Author
    • DOI
    • ISBN
    Advanced Search
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Archive

    An Efficient and Robust Model for Precise Surface Crack Segmentation on Concrete Bridge Structures

    Source: Journal of Computing in Civil Engineering:;2026:;Volume ( 040 ):;issue: 004::page 04026035-1
    Author:
    Ai, Changfa
    ,
    He, Anzheng
    ,
    Wu, Di
    ,
    Zhang, Allen A.
    ,
    Chen, Zhenyu
    ,
    Sun, Yangyong
    ,
    Peng, Yi
    ,
    Cheng, Huixuan
    DOI: 10.1061/JCCEE5.CPENG-7381
    Publisher: American Society of Civil Engineers
    Abstract: AbstractThis paper proposes an efficient and robust model named bridge crack segmentation network (BCS-Net), tailored for high-precision segmentation of surface cracks on concrete bridges. BCS-Net adopts an encoder-decoder framework augmented by a ...Practical ApplicationsThe bridge surface crack is a primary form of structural damage in concrete bridges and a significant focus of bridge surface inspections. Accurate detection and timely repair of surface cracks prior to their deterioration are ...
    • Download: (2.680Mb)
    • Show Full MetaData Hide Full MetaData
    • Get RIS
    • Item Order
    • Go To Publisher
    • Statistics

      An Efficient and Robust Model for Precise Surface Crack Segmentation on Concrete Bridge Structures

    URI
    https://yetl.yabesh.ir/yetl1/handle/yetl/4314516
    Collections
    • Journal of Computing in Civil Engineering

    Show full item record

    contributor authorAi, Changfa
    contributor authorHe, Anzheng
    contributor authorWu, Di
    contributor authorZhang, Allen A.
    contributor authorChen, Zhenyu
    contributor authorSun, Yangyong
    contributor authorPeng, Yi
    contributor authorCheng, Huixuan
    date accessioned2026-08-20T21:28:32Z
    date available2026-08-20T21:28:32Z
    date copyright2026/03/20
    date issued2026
    identifier otherJCCEE5.CPENG-7381.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4314516
    description abstractAbstractThis paper proposes an efficient and robust model named bridge crack segmentation network (BCS-Net), tailored for high-precision segmentation of surface cracks on concrete bridges. BCS-Net adopts an encoder-decoder framework augmented by a ...Practical ApplicationsThe bridge surface crack is a primary form of structural damage in concrete bridges and a significant focus of bridge surface inspections. Accurate detection and timely repair of surface cracks prior to their deterioration are ...
    publisherAmerican Society of Civil Engineers
    titleAn Efficient and Robust Model for Precise Surface Crack Segmentation on Concrete Bridge Structures
    typeJournal Article
    journal volume40
    journal issue4
    journal titleJournal of Computing in Civil Engineering
    identifier doi10.1061/JCCEE5.CPENG-7381
    journal fristpage04026035-1
    journal lastpage04026035-15
    page15
    treeJournal of Computing in Civil Engineering:;2026:;Volume ( 040 ):;issue: 004
    contenttypeFulltext
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian
     
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian