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    A Deep Learning Method Fusing Multiscale Temporal Features for Metro Tunnel Deformation Advanced Prediction

    Source: Journal of Computing in Civil Engineering:;2026:;Volume ( 040 ):;issue: 005::page 04026071-1
    Author:
    Zhou, Shijie
    ,
    Peng, Hua
    ,
    Zheng, Huihuan
    ,
    He, Xiao
    ,
    Ma, Wenhui
    DOI: 10.1061/JCCEE5.CPENG-7244
    Publisher: American Society of Civil Engineers
    Abstract: AbstractDuring the excavation of foundation pits, accurately predicting the deformation of existing metro tunnel structures plays a crucial role in ensuring the safe operation of the metro system. In this paper, a novel deep learning method for predicting ...
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      A Deep Learning Method Fusing Multiscale Temporal Features for Metro Tunnel Deformation Advanced Prediction

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4314503
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    contributor authorZhou, Shijie
    contributor authorPeng, Hua
    contributor authorZheng, Huihuan
    contributor authorHe, Xiao
    contributor authorMa, Wenhui
    date accessioned2026-08-20T21:28:04Z
    date available2026-08-20T21:28:04Z
    date copyright2026/06/08
    date issued2026
    identifier otherJCCEE5.CPENG-7244.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4314503
    description abstractAbstractDuring the excavation of foundation pits, accurately predicting the deformation of existing metro tunnel structures plays a crucial role in ensuring the safe operation of the metro system. In this paper, a novel deep learning method for predicting ...
    publisherAmerican Society of Civil Engineers
    titleA Deep Learning Method Fusing Multiscale Temporal Features for Metro Tunnel Deformation Advanced Prediction
    typeJournal Article
    journal volume40
    journal issue5
    journal titleJournal of Computing in Civil Engineering
    identifier doi10.1061/JCCEE5.CPENG-7244
    journal fristpage04026071-1
    journal lastpage04026071-16
    page16
    treeJournal of Computing in Civil Engineering:;2026:;Volume ( 040 ):;issue: 005
    contenttypeFulltext
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