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Smart Structures and Systems Volume 20, Number 2, August 2017 , pages 127-137 DOI: https://doi.org/10.12989/sss.2017.20.2.127 |
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Numerical and experimental verifications on damping identification with model updating and vibration monitoring data |
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Jun Li, Hong Hao, Gao Fan, Pinghe Ni, Xiangyu Wang, Changzhi Wu, Jae-Myung Lee and Kwang-Hyo Jung
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| 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. | ||
| Key Words | ||
| damping identification; experimental verification; model updating; vibration data; sensitivity | ||
| Address | ||
| Jun Li: Centre for Infrastructural Monitoring and Protection, School of Civil and Mechanical Engineering, Curtin University, Kent Street, Bentley, WA 6102, Australia; Jiangsu Key Laboratory of Engineering Mechanics, Southeast University, Nanjing, China, 210096 Hong Hao and Gao Fan: Centre for Infrastructural Monitoring and Protection, School of Civil and Mechanical Engineering, Curtin University, Kent Street, Bentley, WA 6102, Australia Pinghe Ni: Centre for Infrastructural Monitoring and Protection, School of Civil and Mechanical Engineering, Curtin University, Kent Street, Bentley, WA 6102, Australia; Department of Civil and Environmental Engineering, Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong Xiangyu Wang and Changzhi Wu: Australasian Joint Research Centre for Building Information Modelling, School of Built Environment, Curtin University, Perth, WA 6845, Australia Jae-Myung Lee and Kwang-Hyo Jung: Department of Naval Architecture and Ocean Engineering, Pusan National University, Busan, Korea | ||