Damage detection of structures subject to nonlinear effects of changing environmental conditions
Damage detection of civil structures has been carried out by mainly analysing the vibration properties of the structures which change when damages occur. However, these properties are also affected by the changing environmental conditions the structures are face with, and these conditions usually pr...
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| Format: | Article |
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Elsevier
2017
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| Online Access: | https://eprints.nottingham.ac.uk/49607/ |
| _version_ | 1848798036677885952 |
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| author | Wah, William Soo Lon Chen, Yung-Tsang Roberts, Gethin Wyn Elamin, Ahmed |
| author_facet | Wah, William Soo Lon Chen, Yung-Tsang Roberts, Gethin Wyn Elamin, Ahmed |
| author_sort | Wah, William Soo Lon |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | Damage detection of civil structures has been carried out by mainly analysing the vibration properties of the structures which change when damages occur. However, these properties are also affected by the changing environmental conditions the structures are face with, and these conditions usually produce nonlinear effects on the vibration properties. Hence, a method is proposed in this paper to analyse structures subjected to nonlinear effects of environmental conditions. The method first applies Principal Component Analysis (PCA) on a bank of damage sensitivity features, followed by applying Gaussian Mixture Model on the obtained first principal component scores to cluster the data into several linear regions. By creating a baseline for each linear region using two extreme and opposite environmental conditions, and adding new measurements to the baseline one at a time followed by applying PCA, damage detection can be achieved. The method is validated on a numerical truss structure model and on the Z24 Bridge. The results demonstrate the ability of the method to analyse structures under nonlinear environmental effects. |
| first_indexed | 2025-11-14T20:13:23Z |
| format | Article |
| id | nottingham-49607 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T20:13:23Z |
| publishDate | 2017 |
| publisher | Elsevier |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-496072020-05-04T18:45:21Z https://eprints.nottingham.ac.uk/49607/ Damage detection of structures subject to nonlinear effects of changing environmental conditions Wah, William Soo Lon Chen, Yung-Tsang Roberts, Gethin Wyn Elamin, Ahmed Damage detection of civil structures has been carried out by mainly analysing the vibration properties of the structures which change when damages occur. However, these properties are also affected by the changing environmental conditions the structures are face with, and these conditions usually produce nonlinear effects on the vibration properties. Hence, a method is proposed in this paper to analyse structures subjected to nonlinear effects of environmental conditions. The method first applies Principal Component Analysis (PCA) on a bank of damage sensitivity features, followed by applying Gaussian Mixture Model on the obtained first principal component scores to cluster the data into several linear regions. By creating a baseline for each linear region using two extreme and opposite environmental conditions, and adding new measurements to the baseline one at a time followed by applying PCA, damage detection can be achieved. The method is validated on a numerical truss structure model and on the Z24 Bridge. The results demonstrate the ability of the method to analyse structures under nonlinear environmental effects. Elsevier 2017-05-09 Article PeerReviewed Wah, William Soo Lon, Chen, Yung-Tsang, Roberts, Gethin Wyn and Elamin, Ahmed (2017) Damage detection of structures subject to nonlinear effects of changing environmental conditions. Procedia Engineering, 188 . pp. 248-255. ISSN 1877-7058 Principal Component Analysis; Gaussian Mixture Model; Environmental conditions; Temperature; Damage detection; Nonlinear https://www.sciencedirect.com/science/article/pii/S1877705817320337 doi:10.1016/j.proeng.2017.04.481 doi:10.1016/j.proeng.2017.04.481 |
| spellingShingle | Principal Component Analysis; Gaussian Mixture Model; Environmental conditions; Temperature; Damage detection; Nonlinear Wah, William Soo Lon Chen, Yung-Tsang Roberts, Gethin Wyn Elamin, Ahmed Damage detection of structures subject to nonlinear effects of changing environmental conditions |
| title | Damage detection of structures subject to nonlinear effects of changing environmental conditions |
| title_full | Damage detection of structures subject to nonlinear effects of changing environmental conditions |
| title_fullStr | Damage detection of structures subject to nonlinear effects of changing environmental conditions |
| title_full_unstemmed | Damage detection of structures subject to nonlinear effects of changing environmental conditions |
| title_short | Damage detection of structures subject to nonlinear effects of changing environmental conditions |
| title_sort | damage detection of structures subject to nonlinear effects of changing environmental conditions |
| topic | Principal Component Analysis; Gaussian Mixture Model; Environmental conditions; Temperature; Damage detection; Nonlinear |
| url | https://eprints.nottingham.ac.uk/49607/ https://eprints.nottingham.ac.uk/49607/ https://eprints.nottingham.ac.uk/49607/ |