UM
Modal frequency-environmental condition relation development using long-term structural health monitoring measurement: Uncertainty quantification, sparse feature selection and multivariate prediction
Mu, He-Qing; Yuen, Ka-Veng
2018-12
Source PublicationMEASUREMENT
ISSN0263-2241
Volume130Pages:384-397
AbstractThe goal of structural health monitoring is to infer structural health status using available measurement. It is well accepted that structural modal frequency can be utilized as an indicator revealing health status of a monitored structure, but this indicator exhibits substantial seasonal variation due to changing environmental conditions (such as temperature and humidity). There are three critical issues in modal frequency-environmental condition relation development: 1) a significant level of uncertainty in both structural dynamical responses and environmental factors; 2) huge number of possible components of input features of environmental factors; 3) capability of multivariate prediction on modal frequencies of several modes. This paper develops an updated version of the Sparse Bayesian Learning (SBL), enhancing the efficiency in the hyperparameter optimization process, with capabilities in uncertainty quantification, sparse feature selection and multivariate prediction. The approach is utilized for modal frequency-environmental condition relation development of a reinforced concrete building based on one-year measurement. It turns out that the optimal multivariate sparse model can depict the pattern between the modal frequencies of the first three modes and the environmental conditions with high fitting capacity and low error sensitivity. (C) 2018 Elsevier Ltd. All rights reserved.
KeywordBayesian inference Environmental conditions Sparse feature selection Modal analysis Structural health monitoring
DOI10.1016/j.measurement.2018.08.022
URLView the original
Indexed BySCI
Language英语
WOS Research AreaEngineering ; Instruments & Instrumentation
WOS SubjectEngineering, Multidisciplinary ; Instruments & Instrumentation
WOS IDWOS:000446464400036
PublisherELSEVIER SCI LTD
The Source to ArticleWOS
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Cited Times [WOS]:6   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionUniversity of Macau
Recommended Citation
GB/T 7714
Mu, He-Qing,Yuen, Ka-Veng. Modal frequency-environmental condition relation development using long-term structural health monitoring measurement: Uncertainty quantification, sparse feature selection and multivariate prediction[J]. MEASUREMENT,2018,130:384-397.
APA Mu, He-Qing,&Yuen, Ka-Veng.(2018).Modal frequency-environmental condition relation development using long-term structural health monitoring measurement: Uncertainty quantification, sparse feature selection and multivariate prediction.MEASUREMENT,130,384-397.
MLA Mu, He-Qing,et al."Modal frequency-environmental condition relation development using long-term structural health monitoring measurement: Uncertainty quantification, sparse feature selection and multivariate prediction".MEASUREMENT 130(2018):384-397.
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