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    Optimal Sensor Placement Strategy Considering Bayesian Identification Uncertainty and State Change in Bridge Health Monitoring

    Source: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:;2026:;Volume ( 012 ):;issue: 001::page 04025108-1
    Author:
    Wei, Jiao-Yuan
    ,
    Zhang, Feng-Liang
    ,
    Xiang, Wei
    ,
    Gong, Gui-Qing
    DOI: 10.1061/AJRUA6.RUENG-1729
    Publisher: American Society of Civil Engineers
    Abstract: AbstractIn structural health monitoring (SHM) projects, sensor placement is critically linked to the uncertainty of identification outcomes, directly determining the reliability of monitoring results. Although existing studies predominantly focus on the ...Practical ApplicationsIn SHM systems, sensor placement influences the uncertainty of identification results and directly affects monitoring reliability. Conventional optimal sensor placement methods primarily focus on the uncertainty in modal parameter ...
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      Optimal Sensor Placement Strategy Considering Bayesian Identification Uncertainty and State Change in Bridge Health Monitoring

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4314320
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    • ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering

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    contributor authorWei, Jiao-Yuan
    contributor authorZhang, Feng-Liang
    contributor authorXiang, Wei
    contributor authorGong, Gui-Qing
    date accessioned2026-08-20T21:20:48Z
    date available2026-08-20T21:20:48Z
    date copyright2025/12/23
    date issued2026
    identifier otherAJRUA6.RUENG-1729.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4314320
    description abstractAbstractIn structural health monitoring (SHM) projects, sensor placement is critically linked to the uncertainty of identification outcomes, directly determining the reliability of monitoring results. Although existing studies predominantly focus on the ...Practical ApplicationsIn SHM systems, sensor placement influences the uncertainty of identification results and directly affects monitoring reliability. Conventional optimal sensor placement methods primarily focus on the uncertainty in modal parameter ...
    publisherAmerican Society of Civil Engineers
    titleOptimal Sensor Placement Strategy Considering Bayesian Identification Uncertainty and State Change in Bridge Health Monitoring
    typeJournal Article
    journal volume12
    journal issue1
    journal titleASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
    identifier doi10.1061/AJRUA6.RUENG-1729
    journal fristpage04025108-1
    journal lastpage04025108-15
    page15
    treeASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:;2026:;Volume ( 012 ):;issue: 001
    contenttypeFulltext
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