Identification of Minor Structural Damage Based on Electromechanical Impedance Sensitivity and Sparse Regularization
© 2018 American Society of Civil Engineers. This paper proposes a structural damage identification approach based on model updating with electromechanical impedance sensitivity and the sparse regularization technique to identify the location and severity of minor damage in structures. The sensitivit...
| Main Authors: | , , , |
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| Format: | Journal Article |
| Published: |
American Society of Civil Engineers
2018
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| Online Access: | http://purl.org/au-research/grants/arc/DE140101741 http://hdl.handle.net/20.500.11937/68674 |
| _version_ | 1848761862273892352 |
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| author | Fan, X. Li, Jun Hao, Hong Ma, S. |
| author_facet | Fan, X. Li, Jun Hao, Hong Ma, S. |
| author_sort | Fan, X. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | © 2018 American Society of Civil Engineers. This paper proposes a structural damage identification approach based on model updating with electromechanical impedance sensitivity and the sparse regularization technique to identify the location and severity of minor damage in structures. The sensitivities of the resonance frequency shifts in the impedance responses with respect to the stiffness parameters of the host structure are calculated and used to identify the damage with a small number of resonance frequency shifts. Numerical verifications on a single lead zirconate titanate (PZT) transducer patch and a PZT on a narrow aluminum plate structure are conducted to validate the finite-element modeling technique to calculate the impedance. The effectiveness and performance of the proposed structural damage identification approach are demonstrated with numerical simulations on an aluminum plate model attached to a PZT transducer patch. The initial finite-element model and a limited number of resonance frequency shifts in the impedance responses are used for the identification. Sparse regularization, namely, the l1 regularization technique, is used for solving the inverse problem. Single and multiple damage scenarios are considered. The effects of noise in the measured impedance signals and the number of available frequency shifts on the performance of the proposed damage identification approach are investigated. The results demonstrate the performance and robustness of the proposed approach. |
| first_indexed | 2025-11-14T10:38:25Z |
| format | Journal Article |
| id | curtin-20.500.11937-68674 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T10:38:25Z |
| publishDate | 2018 |
| publisher | American Society of Civil Engineers |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-686742022-09-06T04:51:01Z Identification of Minor Structural Damage Based on Electromechanical Impedance Sensitivity and Sparse Regularization Fan, X. Li, Jun Hao, Hong Ma, S. © 2018 American Society of Civil Engineers. This paper proposes a structural damage identification approach based on model updating with electromechanical impedance sensitivity and the sparse regularization technique to identify the location and severity of minor damage in structures. The sensitivities of the resonance frequency shifts in the impedance responses with respect to the stiffness parameters of the host structure are calculated and used to identify the damage with a small number of resonance frequency shifts. Numerical verifications on a single lead zirconate titanate (PZT) transducer patch and a PZT on a narrow aluminum plate structure are conducted to validate the finite-element modeling technique to calculate the impedance. The effectiveness and performance of the proposed structural damage identification approach are demonstrated with numerical simulations on an aluminum plate model attached to a PZT transducer patch. The initial finite-element model and a limited number of resonance frequency shifts in the impedance responses are used for the identification. Sparse regularization, namely, the l1 regularization technique, is used for solving the inverse problem. Single and multiple damage scenarios are considered. The effects of noise in the measured impedance signals and the number of available frequency shifts on the performance of the proposed damage identification approach are investigated. The results demonstrate the performance and robustness of the proposed approach. 2018 Journal Article http://hdl.handle.net/20.500.11937/68674 10.1061/(ASCE)AS.1943-5525.0000892 http://purl.org/au-research/grants/arc/DE140101741 American Society of Civil Engineers restricted |
| spellingShingle | Fan, X. Li, Jun Hao, Hong Ma, S. Identification of Minor Structural Damage Based on Electromechanical Impedance Sensitivity and Sparse Regularization |
| title | Identification of Minor Structural Damage Based on Electromechanical Impedance Sensitivity and Sparse Regularization |
| title_full | Identification of Minor Structural Damage Based on Electromechanical Impedance Sensitivity and Sparse Regularization |
| title_fullStr | Identification of Minor Structural Damage Based on Electromechanical Impedance Sensitivity and Sparse Regularization |
| title_full_unstemmed | Identification of Minor Structural Damage Based on Electromechanical Impedance Sensitivity and Sparse Regularization |
| title_short | Identification of Minor Structural Damage Based on Electromechanical Impedance Sensitivity and Sparse Regularization |
| title_sort | identification of minor structural damage based on electromechanical impedance sensitivity and sparse regularization |
| url | http://purl.org/au-research/grants/arc/DE140101741 http://hdl.handle.net/20.500.11937/68674 |