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dc.contributor.authorWei, Jiao-Yuan
dc.contributor.authorZhang, Feng-Liang
dc.contributor.authorXiang, Wei
dc.contributor.authorGong, Gui-Qing
dc.date.accessioned2026-08-20T21:20:48Z
dc.date.available2026-08-20T21:20:48Z
dc.date.copyright2025/12/23
dc.date.issued2026
dc.identifier.otherAJRUA6.RUENG-1729.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4314320
dc.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 ...
dc.publisherAmerican Society of Civil Engineers
dc.titleOptimal Sensor Placement Strategy Considering Bayesian Identification Uncertainty and State Change in Bridge Health Monitoring
dc.typeJournal Article
dc.journal.volume12
dc.journal.issue1
dc.journal.titleASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
dc.identifier.doi10.1061/AJRUA6.RUENG-1729
dc.journal.fristpage04025108-1
dc.journal.lastpage04025108-15
dc.page15
dc.treeASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:;2026:;Volume ( 012 ):;issue: 001
dc.contenttypeFulltext


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