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Structural health monitoring of Canton Tower using Bayesian framework
Kuok S.-C.; Yuen K.-V.
Source PublicationSmart Structures and Systems

This paper reports the structural health monitoring benchmark study results for the Canton Tower using Bayesian methods. In this study, output-only modal identification and finite element model updating are considered using a given set of structural acceleration measurements and the corresponding ambient conditions of 24 hours. In the first stage, the Bayesian spectral density approach is used for output-only modal identification with the acceleration time histories as the excitation to the tower is unknown. The modal parameters and the associated uncertainty can be estimated through Bayesian inference. Uncertainty quantification is important for determination of statistically significant change of the modal parameters and for weighting assignment in the subsequent stage of model updating. In the second stage, a Bayesian model updating approach is utilized to update the finite element model of the tower. The uncertain stiffness parameters can be obtained by minimizing an objective function that is a weighted sum of the square of the differences (residuals) between the identified modal parameters and the corresponding values of the model. The weightings distinguish the contribution of different residuals with different uncertain levels. They are obtained using the Bayesian spectral density approach in the first stage. Again, uncertainty of the stiffness parameters can be quantified with Bayesian inference. Finally, this Bayesian framework is applied to the 24 hour field measurements to investigate the variation of the modal and stiffness parameters under changing ambient conditions. Results show that the Bayesian framework successfully achieves the goal of the first task of this benchmark study.

KeywordAmbient Vibration Bayesian Analysis High-rise Structures Model Updating Structural Health Monitoring System Identification
URLView the original
Indexed BySCI
WOS Research AreaEngineering ; Instruments & Instrumentation
WOS SubjectEngineering, Civil ; Engineering, Mechanical ; Instruments & Instrumentation
WOS IDWOS:000311017500005
The Source to ArticleScopus
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Cited Times [WOS]:56   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
AffiliationUniv Macau, Dept Civil & Environm Engn, Fac Sci & Technol, Macao, Peoples R China.
First Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Kuok S.-C.,Yuen K.-V.. Structural health monitoring of Canton Tower using Bayesian framework[J]. Smart Structures and Systems,2012,10(4):375.
APA Kuok S.-C.,&Yuen K.-V..(2012).Structural health monitoring of Canton Tower using Bayesian framework.Smart Structures and Systems,10(4),375.
MLA Kuok S.-C.,et al."Structural health monitoring of Canton Tower using Bayesian framework".Smart Structures and Systems 10.4(2012):375.
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