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    Development and Evaluation of a Task-Adaptive and Hierarchical Deep Learning Framework for Multitype Damage Detection in Reinforced Concrete Structures

    Source: Journal of Computing in Civil Engineering:;2026:;Volume ( 040 ):;issue: 004::page 04026032-1
    Author:
    Wang, Jiehui
    ,
    Chen, Ziyang
    ,
    Ueda, Tamon
    ,
    Dai, Jian-Guo
    DOI: 10.1061/JCCEE5.CPENG-7482
    Publisher: American Society of Civil Engineers
    Abstract: AbstractWith the rapid advancement of deep learning, automated inspection of reinforced concrete (RC) structures has become increasingly viable. However, existing models are typically task-specific, limiting their utility across diverse scenarios. This ...Practical ApplicationsThis study presents a new, all-in-one artificial intelligence framework designed to help engineers and inspectors quickly and accurately identify multiple types of damage in concrete structures. Unlike many existing tools that can ...
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      Development and Evaluation of a Task-Adaptive and Hierarchical Deep Learning Framework for Multitype Damage Detection in Reinforced Concrete Structures

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4314522
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    contributor authorWang, Jiehui
    contributor authorChen, Ziyang
    contributor authorUeda, Tamon
    contributor authorDai, Jian-Guo
    date accessioned2026-08-20T21:28:45Z
    date available2026-08-20T21:28:45Z
    date copyright2026/03/18
    date issued2026
    identifier otherJCCEE5.CPENG-7482.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4314522
    description abstractAbstractWith the rapid advancement of deep learning, automated inspection of reinforced concrete (RC) structures has become increasingly viable. However, existing models are typically task-specific, limiting their utility across diverse scenarios. This ...Practical ApplicationsThis study presents a new, all-in-one artificial intelligence framework designed to help engineers and inspectors quickly and accurately identify multiple types of damage in concrete structures. Unlike many existing tools that can ...
    publisherAmerican Society of Civil Engineers
    titleDevelopment and Evaluation of a Task-Adaptive and Hierarchical Deep Learning Framework for Multitype Damage Detection in Reinforced Concrete Structures
    typeJournal Article
    journal volume40
    journal issue4
    journal titleJournal of Computing in Civil Engineering
    identifier doi10.1061/JCCEE5.CPENG-7482
    journal fristpage04026032-1
    journal lastpage04026032-18
    page18
    treeJournal of Computing in Civil Engineering:;2026:;Volume ( 040 ):;issue: 004
    contenttypeFulltext
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