Structural damage identification with power spectral density transmissibility: Numerical and experimental studies
This paper proposes a structural damage identification approach based on the power spectral density transmissibility (PSDT), which is developed to formulate the relationship between two sets of auto-spectral density functions of output responses. The accuracy of response reconstruction with PSDT is...
| Main Authors: | , , |
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| Format: | Journal Article |
| Published: |
Techno-Press
2015
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| Online Access: | http://purl.org/au-research/grants/arc/DE140101741 http://hdl.handle.net/20.500.11937/9951 |
| _version_ | 1848746097675075584 |
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| author | Li, Jun Hao, Hong Lo, J. |
| author_facet | Li, Jun Hao, Hong Lo, J. |
| author_sort | Li, Jun |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | This paper proposes a structural damage identification approach based on the power spectral density transmissibility (PSDT), which is developed to formulate the relationship between two sets of auto-spectral density functions of output responses. The accuracy of response reconstruction with PSDT is investigated and the damage identification in structures is conducted with measured acceleration responses from the damaged state. Numerical studies on a seven-storey plane frame structure are conducted to investigate the performance of the proposed damage identification approach. The initial finite element model of the structure and measured acceleration measurements from the damaged structure are used for the identification with a dynamic response sensitivity-based model updating method. The simulated damages can be identified accurately without and with a 5% noise effect included in the simulated responses. Experimental studies on a steel plane frame structure in the laboratory are performed to further verify the accuracy of response reconstruction with PSDT and validate the proposed damage identification approach. The locations of the introduced damage are detected accurately and the stiffness reductions in the damaged elements are identified close to the true values. The identification results demonstrated the accuracy of response reconstruction as well as the correctness and efficiency of the proposed damage identification approach. |
| first_indexed | 2025-11-14T06:27:50Z |
| format | Journal Article |
| id | curtin-20.500.11937-9951 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T06:27:50Z |
| publishDate | 2015 |
| publisher | Techno-Press |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-99512022-09-06T04:45:40Z Structural damage identification with power spectral density transmissibility: Numerical and experimental studies Li, Jun Hao, Hong Lo, J. This paper proposes a structural damage identification approach based on the power spectral density transmissibility (PSDT), which is developed to formulate the relationship between two sets of auto-spectral density functions of output responses. The accuracy of response reconstruction with PSDT is investigated and the damage identification in structures is conducted with measured acceleration responses from the damaged state. Numerical studies on a seven-storey plane frame structure are conducted to investigate the performance of the proposed damage identification approach. The initial finite element model of the structure and measured acceleration measurements from the damaged structure are used for the identification with a dynamic response sensitivity-based model updating method. The simulated damages can be identified accurately without and with a 5% noise effect included in the simulated responses. Experimental studies on a steel plane frame structure in the laboratory are performed to further verify the accuracy of response reconstruction with PSDT and validate the proposed damage identification approach. The locations of the introduced damage are detected accurately and the stiffness reductions in the damaged elements are identified close to the true values. The identification results demonstrated the accuracy of response reconstruction as well as the correctness and efficiency of the proposed damage identification approach. 2015 Journal Article http://hdl.handle.net/20.500.11937/9951 10.12989/sss.2015.15.1.015 http://purl.org/au-research/grants/arc/DE140101741 Techno-Press restricted |
| spellingShingle | Li, Jun Hao, Hong Lo, J. Structural damage identification with power spectral density transmissibility: Numerical and experimental studies |
| title | Structural damage identification with power spectral density transmissibility: Numerical and experimental studies |
| title_full | Structural damage identification with power spectral density transmissibility: Numerical and experimental studies |
| title_fullStr | Structural damage identification with power spectral density transmissibility: Numerical and experimental studies |
| title_full_unstemmed | Structural damage identification with power spectral density transmissibility: Numerical and experimental studies |
| title_short | Structural damage identification with power spectral density transmissibility: Numerical and experimental studies |
| title_sort | structural damage identification with power spectral density transmissibility: numerical and experimental studies |
| url | http://purl.org/au-research/grants/arc/DE140101741 http://hdl.handle.net/20.500.11937/9951 |