Abstract
An effective identification method is developed for the determination of modal parameters of a structure based on the measured ambient response data. In this study, modification to Eigensystem Realization Algorithm with Data Correlation is proposed for modalparameter identification of structural systems subjected to stationary white-noise ambient vibration. By setting up a correlation -function matrix of stationary responses, as well as by introducing an appropriate matrix factorization, modal parameters of a system can be identified effectively through singular -value decomposition and eigenvalue analysis. Numerical simulations using practical excitation data confirm the validity and robustness of the proposed method in identifying modal parameters from stationary ambient vibration data under noisy conditions.
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This paper was recommended for publication in revised form by Associate Editor Yeon June Kang
D. Y. Chiang received his Ph.D. in Applied Mechanics from California Institute of Technology, U.S.A. in 1992. He joined the faculty of National Cheng Kung University, Taiwan in 1993 where he is currently a professor at the Department of Aeronautics and Astronautics. His research interests are in system identification and plasticity.
C. S. Lin received his B.S. and M.S. degree from the Department of Aeronautics and Astronautics of National Cheng Kung University, Taiwan in 2002 and 2004, respectively. He is currently a Ph.D. candidate with research interest in random vibration and modal analysis.
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Chiang, DY., Lin, CS. Identification of modal parameters from ambient vibration data using eigensystem realization algorithm with correlation technique. J Mech Sci Technol 24, 2377–2382 (2010). https://doi.org/10.1007/s12206-010-1005-0
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DOI: https://doi.org/10.1007/s12206-010-1005-0