Damage identification scheme based on compressive sensing
Civil infrastructures are critical to every nation, due to their substantial investment, long service period, and enormous negative impacts after failure. However, they inevitably deteriorate during their service lives. Therefore, methods capable of assessing conditions and identifying damage in a s...
| Main Authors: | , |
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| Format: | Journal Article |
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American Society of Civil Engineering
2013
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| Online Access: | http://hdl.handle.net/20.500.11937/23094 |
| _version_ | 1848751054289633280 |
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| author | Wang, Ying Hao, Hong |
| author_facet | Wang, Ying Hao, Hong |
| author_sort | Wang, Ying |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Civil infrastructures are critical to every nation, due to their substantial investment, long service period, and enormous negative impacts after failure. However, they inevitably deteriorate during their service lives. Therefore, methods capable of assessing conditions and identifying damage in a structure timely and accurately have drawn increasing attention. Recently, compressive sensing (CS), a significant breakthrough in signal processing, has been proposed to capture and represent compressible signals at a rate significantly below the traditional Nyquist rate. Due to its sound theoretical background and notable influence, this methodology has been successfully applied in many research areas. In order to explore its application in structural damage identification, a new CS-based damage identification scheme is proposed in this paper, by regarding damage identification problems as pattern classification problems. The time domain structural responses are transferred to the frequency domain as sparse representation, and then the numerical simulated data under various damage scenarios will be used to train a feature matrix as input information.This matrix can be used for damage identification through an optimization process. This will be one of the first few applications of this advanced technique to structural engineering areas. In order to demonstrate its effectiveness, numerical simulation results on a complex pipe soil interaction model are used to train the parameters and then to identify the simulated pipe degradation damage and free-spanning damage. To further demonstrate the method, vibration tests of a steel pipe laid on the ground are carried out. The measured acceleration time histories are used for damage identification. Both numerical and experimental verification results confirm that the proposed damage identification scheme will be a promising tool for structural health monitoring. |
| first_indexed | 2025-11-14T07:46:37Z |
| format | Journal Article |
| id | curtin-20.500.11937-23094 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T07:46:37Z |
| publishDate | 2013 |
| publisher | American Society of Civil Engineering |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-230942017-09-13T13:56:21Z Damage identification scheme based on compressive sensing Wang, Ying Hao, Hong Civil infrastructures are critical to every nation, due to their substantial investment, long service period, and enormous negative impacts after failure. However, they inevitably deteriorate during their service lives. Therefore, methods capable of assessing conditions and identifying damage in a structure timely and accurately have drawn increasing attention. Recently, compressive sensing (CS), a significant breakthrough in signal processing, has been proposed to capture and represent compressible signals at a rate significantly below the traditional Nyquist rate. Due to its sound theoretical background and notable influence, this methodology has been successfully applied in many research areas. In order to explore its application in structural damage identification, a new CS-based damage identification scheme is proposed in this paper, by regarding damage identification problems as pattern classification problems. The time domain structural responses are transferred to the frequency domain as sparse representation, and then the numerical simulated data under various damage scenarios will be used to train a feature matrix as input information.This matrix can be used for damage identification through an optimization process. This will be one of the first few applications of this advanced technique to structural engineering areas. In order to demonstrate its effectiveness, numerical simulation results on a complex pipe soil interaction model are used to train the parameters and then to identify the simulated pipe degradation damage and free-spanning damage. To further demonstrate the method, vibration tests of a steel pipe laid on the ground are carried out. The measured acceleration time histories are used for damage identification. Both numerical and experimental verification results confirm that the proposed damage identification scheme will be a promising tool for structural health monitoring. 2013 Journal Article http://hdl.handle.net/20.500.11937/23094 10.1061/(ASCE)CP.1943-5487.0000324 American Society of Civil Engineering fulltext |
| spellingShingle | Wang, Ying Hao, Hong Damage identification scheme based on compressive sensing |
| title | Damage identification scheme based on compressive sensing |
| title_full | Damage identification scheme based on compressive sensing |
| title_fullStr | Damage identification scheme based on compressive sensing |
| title_full_unstemmed | Damage identification scheme based on compressive sensing |
| title_short | Damage identification scheme based on compressive sensing |
| title_sort | damage identification scheme based on compressive sensing |
| url | http://hdl.handle.net/20.500.11937/23094 |