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http://dx.doi.org/10.5659/JAIK.2022.38.11.297

Modal Identification of a Non-Classically Damped Structure Using the Modal-Based Kalman Filter  

Hwang, Jae-Seung (School of Architecture, Chonnam National University)
Publication Information
Journal of the Architectural Institute of Korea / v.38, no.11, 2022 , pp. 297-306 More about this Journal
Abstract
For the visualization of dominant vibration pattern or the separation of modal response from measurements, the mode shape is very useful parameter. In this research, a modal-based Kalman filter defined in the modal space was introduced to decompose modes from one sensor response and develop a process to identify the mode shape using the correlation between the separated modes and the measured responses. It was observed that the updated modal responses by the mode shape was more precise than the originally extracted modes by modal-based Kalman filter. Furthermore, it was shown that the process can be extended to estimate the mode shape of non-classically damped structure in the state space. To verify the mode shape estimation framework proposed in this study, numerical simulations and application for the site-situ measurements were carried out. From the simulation results, it was found that the proposed modal identification technique had noise immunity; it can be applied to estimate the state space mode shape of non-classically damped structure and utilized on a system with very closely distributed modes such as a structure-tuned mass damper system.
Keywords
Mode shape; Modal-based Kalman filter; Non-classically damped structure; Modal identification; State space mode shape;
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Times Cited By KSCI : 1  (Citation Analysis)
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