3 April 2012 Stochastic subspace identification for operational modal analysis of an arch bridge
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Abstract
In this paer the application of output-only system identification technique, known as Stochastic Subspace Identification (SSI) algorithms, for civil infrastructures is carried out. The ability of covariance driven stochastic subspace identification (SSI-COV) was proved through the analysis of the ambient data of an arch bridge under operational condition. A newly developed signal processing technique, Singular Spectrum analysis (SSA), capable to smooth noisy signals, is adopted for pre-processing the recorded data before the SSI. The conjunction of SSA and SSICOV provides a useful criterion for the system order determination. With the aim of estimating accurate modal parameters of the structure in off-line analysis, a stabilization diagram is constructed by plotting the identified poles of the system with increasing the size of data Hankel matrix. Identification task of a real structure, Guandu Bridge, is carried out to identify the system natural frequencies and mode shapes. The uncertainty of the identified model parameters from output-only measurement of the bridge under operation condition, such as temperature and traffic loading conditions, is discussed.
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Chin-Hsiung Loh, Chin-Hsiung Loh, Ming-Che Chen, Ming-Che Chen, Shu-Hsien Chao, Shu-Hsien Chao, } "Stochastic subspace identification for operational modal analysis of an arch bridge", Proc. SPIE 8345, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2012, 834504 (3 April 2012); doi: 10.1117/12.912514; https://doi.org/10.1117/12.912514
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