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Title: Numerical and experimental verifications on damping identification with model updating and vibration monitoring data
Authors: Li, J
Hao, H
Fan, G
Ni, P 
Wang, X
Wu, C
Lee, JM
Jung, KH
Keywords: Damping identification
Experimental verification
Model updating
Vibration data
Issue Date: 2017
Publisher: Techno Press
Source: Smart structures and systems, 2017, v. 20, no. 2, p. 127-137 How to cite?
Journal: Smart structures and systems 
Abstract: Identification of damping characteristics is of significant importance for dynamic response analysis and condition assessment of structural systems. Damping is associated with the behavior of the energy dissipation mechanism. Identification of damping ratios based on the sensitivity of dynamic responses and the model updating technique is investigated with numerical and experimental investigations. The effectiveness and performance of using the sensitivity-based model updating method and vibration monitoring data for damping ratios identification are investigated. Numerical studies on a three-dimensional truss bridge model are conducted to verify the effectiveness of the proposed approach. Measurement noise effect and the initial finite element modelling errors are considered. The results demonstrate that the damping ratio identification with the proposed approach is not sensitive to the noise effect but could be affected significantly by the modelling errors. Experimental studies on a steel planar frame structure are conducted. The robustness and performance of the proposed damping identification approach are investigated with real measured vibration data. The results demonstrate that the proposed approach has a decent and reliable performance to identify the damping ratios.
ISSN: 1738-1584
EISSN: 1738-1991
DOI: 10.12989/sss.2017.20.2.127
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