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    Deep Learning-Based Rapid 3D Reconstruction and Spatial Localization of Leakage in Shield Tunnels

    Source: Journal of Computing in Civil Engineering:;2026:;Volume ( 040 ):;issue: 002::page 04025145-1
    Author:
    Qian, Jinhua
    ,
    Wu, Songhua
    ,
    Xue, Fei
    ,
    Xiao, Kaifeng
    ,
    Wang, Tianzuo
    DOI: 10.1061/JCCEE5.CPENG-7105
    Publisher: American Society of Civil Engineers
    Abstract: AbstractTo address the inefficiencies and limitations of traditional three-dimensional (3D) reconstruction methods for shield tunnels, particularly in visualization and leakage localization, this study proposes a deep learning–based framework that ...
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      Deep Learning-Based Rapid 3D Reconstruction and Spatial Localization of Leakage in Shield Tunnels

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4314484
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    contributor authorQian, Jinhua
    contributor authorWu, Songhua
    contributor authorXue, Fei
    contributor authorXiao, Kaifeng
    contributor authorWang, Tianzuo
    date accessioned2026-08-20T21:27:27Z
    date available2026-08-20T21:27:27Z
    date copyright2025/11/22
    date issued2026
    identifier otherJCCEE5.CPENG-7105.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4314484
    description abstractAbstractTo address the inefficiencies and limitations of traditional three-dimensional (3D) reconstruction methods for shield tunnels, particularly in visualization and leakage localization, this study proposes a deep learning–based framework that ...
    publisherAmerican Society of Civil Engineers
    titleDeep Learning-Based Rapid 3D Reconstruction and Spatial Localization of Leakage in Shield Tunnels
    typeJournal Article
    journal volume40
    journal issue2
    journal titleJournal of Computing in Civil Engineering
    identifier doi10.1061/JCCEE5.CPENG-7105
    journal fristpage04025145-1
    journal lastpage04025145-15
    page15
    treeJournal of Computing in Civil Engineering:;2026:;Volume ( 040 ):;issue: 002
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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