Please use this identifier to cite or link to this item:
https://hdl.handle.net/11147/8855
Title: | A two-stage Bayesian algorithm for finite element model updating by using ambient response data from multiple measurement setups | Authors: | Hızal, Çağlayan Turan, Gürsoy |
Keywords: | Finite element model updating Bayesian approach Multiple setups Operational modal analysis Probability of damage |
Issue Date: | 2020 | Publisher: | Academic Press | Abstract: | This study presents a two-stage Bayesian finite element model updating procedure by using acceleration response measurements obtained from multiple setups. In the presented methodology, parametric uncertainties for the modal parameters are estimated by using the Bayesian Fast Fourier Transform Approach (BFFTA). Different from the previous Bayesian methods, a block diagonal covariance matrix is modeled for prior estimation of measured modal parameters. In addition, the modelling error in the eigenvalue equations is considered as soft constraints to be updated. Numerical and experimental studies are presented to validate the proposed method. The effect of soft constraints on the identification results as well as their posterior uncertainties are investigated. According to the results, it is shown that the proposed methodology can identify the most probable finite element model parameters with high level of accuracy. In addition, the posterior uncertainties obtained by the proposed procedure are significantly small when compared to the methods that consider rigid constraints for prediction and/or modelling error. (C) 2019 Elsevier Ltd. All rights reserved. | URI: | https://doi.org/10.1016/j.jsv.2019.115139 https://hdl.handle.net/11147/8855 |
ISSN: | 0022-460X 1095-8568 |
Appears in Collections: | Civil Engineering / İnşaat Mühendisliği Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection |
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1-s2.0-S0022460X19307023-main.pdf | 1.67 MB | Adobe PDF | View/Open |
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