Investigation of Operational Modal Identification of a Cable-Stayed Bridge Based on Bayesian Estimation Considering Stochastic Uncertainty

DOI Web Site 11 References
  • GOI Yoshinao
    京都大学大学院 工学研究科社会基盤工学専攻
  • KIM Chull-Woo
    京都大学大学院 工学研究科社会基盤工学専攻
  • AU Siu-Kui
    Institute for Risk and Uncertainty, University of Liverpool

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Other Title
  • 統計的不確かさを考慮したベイズ推定による長大斜張橋の振動モード同定に関する検討

Abstract

A previous study reported that results of operational modal analysis applied to a cable stayed bridge was drasticly changed depending on wind speed. Aiming at investigation of an effective bridge health monitoring technology, it is desired to identify the mechanism of the modal identifiability problem. This study presented a Bayesian estimation method based on frequency domain of ambient vibration data. Modal properties identified from SSI are compared to ones identifed from the Bayesian method. Coefficient of variances of modal parameters and S/N ratio of modal responces indicated uncertainty of modal estimation directry. This observation shows Bayesian estimation can be helpful approach to interpret quarity of the estimation itself.

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