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공공누리This item is licensed Korea Open Government License

dc.contributor.author
박승근
dc.contributor.author
노해영
dc.date.accessioned
2019-08-28T07:42:04Z
dc.date.available
2019-08-28T07:42:04Z
dc.date.issued
2017-07-01
dc.identifier.issn
0733-9399
dc.identifier.uri
https://repository.kisti.re.kr/handle/10580/14636
dc.identifier.uri
http://www.ndsl.kr/ndsl/search/detail/article/articleSearchResultDetail.do?cn=NART78250075
dc.description.abstract
Civil infrastructures are exposed to various loads over their lifetime, which lead tostructural degradation. To understand and predict these dynamic behaviors of thephysical infrastructure, many mathematical structural models have been developed,such as subspace system identification. These models often require structuralresponses from all degrees-of-freedom (DOFs) to estimate structural parameters.However, in practice, it is often difficult, if not impossible, to make such measurements,due to sensing constraints, missing data problem, and/or excessive number of DOFslike in large-scale civil structures. This lack of the measurements in space results in illposedproblems with non-unique solutions. To address this challenge, this paperpresents a structural parameter estimation algorithm that incorporates spatiallyincomplete measurements and inaccurate prior information of the structuralparameters, within subspace system identification framework. Additional constraintsare imposed using prior information and the prior information is updated with the newestimation. This process is repeated as more measurements are collected, tosequentially update the parameters. The proposed method is evaluated using anumerical model of a five-story shear building for two damage scenarios withmeasurement noise. The structural parameters are estimated with 85~99% accuracywith spatially incomplete measurements (40~80%), and the iterative updating furtherimproves these accuracies.
dc.language
eng
dc.relation.ispartofseries
Journal of Engineering Mechanics
dc.title
Updating Structural Parameters with Spatially Incomplete Measurements Using Subspace System Identification
dc.citation.number
7
dc.citation.volume
143
dc.subject.keyword
Structural Parameter Estimation
dc.subject.keyword
Spatially Incomplete Measurements
dc.subject.keyword
Subspace 22 System Identification
dc.subject.keyword
Inaccurate Prior Information
dc.subject.keyword
Iterative Model Updating
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