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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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