System Identification of Civil Structures under Operational Conditions Considering Uncertainties
This thesis conducts investigations on the development of time-frequency analysis approaches for vibration-based system identification considering uncertainties, including applications to operational modal identification, nonlinear model updating and damage detection of civil engineering structures...
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| Format: | Thesis |
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Curtin University
2020
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| Online Access: | http://hdl.handle.net/20.500.11937/81506 |
| _version_ | 1848764380869558272 |
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| author | Xin, Yu |
| author_facet | Xin, Yu |
| author_sort | Xin, Yu |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | This thesis conducts investigations on the development of time-frequency analysis approaches for vibration-based system identification considering uncertainties, including applications to operational modal identification, nonlinear model updating and damage detection of civil engineering structures under operational conditions. The research work presented and the results obtained in this thesis contribute to the development of robust and reliable vibration-based system identification and nonlinear model updating techniques with applications to the real-world civil engineering structures. |
| first_indexed | 2025-11-14T11:18:27Z |
| format | Thesis |
| id | curtin-20.500.11937-81506 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T11:18:27Z |
| publishDate | 2020 |
| publisher | Curtin University |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-815062022-10-28T03:20:56Z System Identification of Civil Structures under Operational Conditions Considering Uncertainties Xin, Yu This thesis conducts investigations on the development of time-frequency analysis approaches for vibration-based system identification considering uncertainties, including applications to operational modal identification, nonlinear model updating and damage detection of civil engineering structures under operational conditions. The research work presented and the results obtained in this thesis contribute to the development of robust and reliable vibration-based system identification and nonlinear model updating techniques with applications to the real-world civil engineering structures. 2020 Thesis http://hdl.handle.net/20.500.11937/81506 Curtin University fulltext |
| spellingShingle | Xin, Yu System Identification of Civil Structures under Operational Conditions Considering Uncertainties |
| title | System Identification of Civil Structures under Operational Conditions Considering Uncertainties |
| title_full | System Identification of Civil Structures under Operational Conditions Considering Uncertainties |
| title_fullStr | System Identification of Civil Structures under Operational Conditions Considering Uncertainties |
| title_full_unstemmed | System Identification of Civil Structures under Operational Conditions Considering Uncertainties |
| title_short | System Identification of Civil Structures under Operational Conditions Considering Uncertainties |
| title_sort | system identification of civil structures under operational conditions considering uncertainties |
| url | http://hdl.handle.net/20.500.11937/81506 |