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    MDMCS: A Benchmark Data Set for Multidamage Monitoring of Concrete Structures

    Source: Journal of Bridge Engineering:;2026:;Volume ( 031 ):;issue: 002::page 04725002-1
    Author:
    Guo, Pengwei
    ,
    Jiang, Zhan
    ,
    Meng, Weina
    ,
    Bao, Yi
    DOI: 10.1061/JBENF2.BEENG-7893
    Publisher: American Society of Civil Engineers
    Abstract: Abstract Concrete structures deteriorate over time due to environmental exposure and mechanical stress, leading to various types of damage such as cracking, spalling, corrosion, and exposed rebar. Automated detection using deep learning-based computer ...
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      MDMCS: A Benchmark Data Set for Multidamage Monitoring of Concrete Structures

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4314340
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    contributor authorGuo, Pengwei
    contributor authorJiang, Zhan
    contributor authorMeng, Weina
    contributor authorBao, Yi
    date accessioned2026-08-20T21:21:41Z
    date available2026-08-20T21:21:41Z
    date copyright2025/12/11
    date issued2026
    identifier otherJBENF2.BEENG-7893.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4314340
    description abstractAbstract Concrete structures deteriorate over time due to environmental exposure and mechanical stress, leading to various types of damage such as cracking, spalling, corrosion, and exposed rebar. Automated detection using deep learning-based computer ...
    publisherAmerican Society of Civil Engineers
    titleMDMCS: A Benchmark Data Set for Multidamage Monitoring of Concrete Structures
    typeJournal Article
    journal volume31
    journal issue2
    journal titleJournal of Bridge Engineering
    identifier doi10.1061/JBENF2.BEENG-7893
    journal fristpage04725002-1
    journal lastpage04725002-11
    page11
    treeJournal of Bridge Engineering:;2026:;Volume ( 031 ):;issue: 002
    contenttypeFulltext
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