TY - JOUR
T1 - Identification of modal parameters from ambient vibration data using eigensystem realization algorithm with correlation technique
AU - Chiang, Dar Yun
AU - Lin, Chang Sheng
N1 - Funding Information:
This research was supported in part by the National Science Council of the Republic of China under the grant NSC-96-2221-E-006-188. The authors wish to thank the anonymous reviewers for their valuable comments and suggestions in revising the paper.
PY - 2010
Y1 - 2010
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=78650499897&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=78650499897&partnerID=8YFLogxK
U2 - 10.1007/s12206-010-1005-0
DO - 10.1007/s12206-010-1005-0
M3 - Article
AN - SCOPUS:78650499897
SN - 1738-494X
VL - 24
SP - 2377
EP - 2382
JO - Journal of Mechanical Science and Technology
JF - Journal of Mechanical Science and Technology
IS - 12
ER -