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    Integrating Bi-Bi-LSTM-Based Virtual Sensing and VAE for Sensor-Efficient Unsupervised Structural Damage Detection

    Source: Journal of Engineering Mechanics:;2026:;Volume ( 152 ):;issue: 008::page 04026037-1
    Author:
    Abu Zouriq, Mubarak Faisal
    ,
    Linzell, Daniel G.
    ,
    Eftekhar Azam, Yashar
    DOI: 10.1061/JENMDT.EMENG-8825
    Publisher: American Society of Civil Engineers
    Abstract: AbstractA key component to determining bridge conditions and functionality is implementing structural health monitoring (SHM) systems that analyze structural behavior under variable loading conditions. Effective data-driven SHM requires distributed data ...
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      Integrating Bi-Bi-LSTM-Based Virtual Sensing and VAE for Sensor-Efficient Unsupervised Structural Damage Detection

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4311365
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    contributor authorAbu Zouriq, Mubarak Faisal
    contributor authorLinzell, Daniel G.
    contributor authorEftekhar Azam, Yashar
    date accessioned2026-08-20T10:51:47Z
    date available2026-08-20T10:51:47Z
    date copyright2026/05/28
    date issued2026
    identifier otherJENMDT.EMENG-8825.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4311365
    description abstractAbstractA key component to determining bridge conditions and functionality is implementing structural health monitoring (SHM) systems that analyze structural behavior under variable loading conditions. Effective data-driven SHM requires distributed data ...
    publisherAmerican Society of Civil Engineers
    titleIntegrating Bi-Bi-LSTM-Based Virtual Sensing and VAE for Sensor-Efficient Unsupervised Structural Damage Detection
    typeJournal Article
    journal volume152
    journal issue8
    journal titleJournal of Engineering Mechanics
    identifier doi10.1061/JENMDT.EMENG-8825
    journal fristpage04026037-1
    journal lastpage04026037-21
    page21
    treeJournal of Engineering Mechanics:;2026:;Volume ( 152 ):;issue: 008
    contenttypeFulltext
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