Bayesian modal updating using ambient data

Status	已發表Published
	Bayesian modal updating using ambient data
	Katafygiotis L.S.; Lam H.-F.; Yuen K.-V.
	1998
Source Publication	Proceedings of the International Modal Analysis Conference - IMAC
Volume	1
Pages	667-673
Abstract	The problem of identification of the modal parameters of a structural model using measured ambient response time histories is addressed. A Bayesian probabilistic approach is followed to obtain not only the most probable (optimal) values but also the probability distribution of the updated modal parameters. This is very important when one plans to use these estimates for further processing, such as for updating the theoretical finite-element model of the structure, because it provides a rational basis for weighting differently the errors of the various modal parameters, the errors being the differences between the theoretical and identified values of these parameters. The approach is introduced here for a SDOF system. Under the assumption of white noise excitation the statistical properties of an estimator of the spectral density are presented. Based on these statistical results expressions for the updated probability density function (PDF) of the modal parameters are derived. The optimal values of the parameters are the ones at which the updated PDF is maximized. Numerical examples using simulated data are presented to demonstrate the approach.
URL	View the original
Language	英語English
Fulltext Access	View Full-Text via Scopus
Document Type	Conference paper
Collection	University of Macau
Affiliation	Hong Kong University of Science and Technology
Recommended Citation GB/T 7714	Katafygiotis L.S.,Lam H.-F.,Yuen K.-V.. Bayesian modal updating using ambient data[C], 1998, 667-673.
APA	Katafygiotis L.S.., Lam H.-F.., & Yuen K.-V. (1998). Bayesian modal updating using ambient data. Proceedings of the International Modal Analysis Conference - IMAC, 1, 667-673.

Files in This Item:
There are no files associated with this item.

If you have any objections to this item, please fill out the form below and the administrator will contact you as soon as possible.
Content:
Email：	*
Affiliation No.
Verification Code:	Refresh

Any comments and suggestions are welcomed.
Title:	*
Content:
Email：	*
Verification Code:	Refresh