Numerical and experimental verifications on damping identification with model updating and vibration monitoring data
© Copyright 2017 Techno-Press, Ltd. 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 base...
| Main Authors: | , , , , , , , |
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| Format: | Journal Article |
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Techno-Press
2017
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| Online Access: | http://purl.org/au-research/grants/arc/LP160100528 http://hdl.handle.net/20.500.11937/63100 |
| _version_ | 1848760994290991104 |
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| author | Li, Jun Hao, Hong Fan, G. Ni, P. Wang, Xiangyu Wu, Changzhi Lee, J. Jung, K. |
| author_facet | Li, Jun Hao, Hong Fan, G. Ni, P. Wang, Xiangyu Wu, Changzhi Lee, J. Jung, K. |
| author_sort | Li, Jun |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | © Copyright 2017 Techno-Press, Ltd. 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. |
| first_indexed | 2025-11-14T10:24:37Z |
| format | Journal Article |
| id | curtin-20.500.11937-63100 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T10:24:37Z |
| publishDate | 2017 |
| publisher | Techno-Press |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-631002023-02-02T03:24:11Z Numerical and experimental verifications on damping identification with model updating and vibration monitoring data Li, Jun Hao, Hong Fan, G. Ni, P. Wang, Xiangyu Wu, Changzhi Lee, J. Jung, K. © Copyright 2017 Techno-Press, Ltd. 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. 2017 Journal Article http://hdl.handle.net/20.500.11937/63100 10.12989/sss.2017.20.2.127 http://purl.org/au-research/grants/arc/LP160100528 Techno-Press restricted |
| spellingShingle | Li, Jun Hao, Hong Fan, G. Ni, P. Wang, Xiangyu Wu, Changzhi Lee, J. Jung, K. Numerical and experimental verifications on damping identification with model updating and vibration monitoring data |
| title | Numerical and experimental verifications on damping identification with model updating and vibration monitoring data |
| title_full | Numerical and experimental verifications on damping identification with model updating and vibration monitoring data |
| title_fullStr | Numerical and experimental verifications on damping identification with model updating and vibration monitoring data |
| title_full_unstemmed | Numerical and experimental verifications on damping identification with model updating and vibration monitoring data |
| title_short | Numerical and experimental verifications on damping identification with model updating and vibration monitoring data |
| title_sort | numerical and experimental verifications on damping identification with model updating and vibration monitoring data |
| url | http://purl.org/au-research/grants/arc/LP160100528 http://hdl.handle.net/20.500.11937/63100 |