Vibration frequencies extraction of the Forth Road Bridge using high sampling GPS data
This paper proposes a scheme for vibration frequencies extraction of the Forth Road Bridge in Scotland from high sampling GPS data. The interaction between the dynamic response and the ambient loadings is carefully analysed. A bilinear Chebyshev high-pass filter is designed to isolate the quasistati...
| Main Authors: | , , , |
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| Format: | Article |
| Published: |
Hindawi
2016
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| Online Access: | https://eprints.nottingham.ac.uk/35371/ |
| _version_ | 1848795062208561152 |
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| author | Wang, Jian Meng, Xiaolin Qin, Changbiao Yi, Jiaohong |
| author_facet | Wang, Jian Meng, Xiaolin Qin, Changbiao Yi, Jiaohong |
| author_sort | Wang, Jian |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | This paper proposes a scheme for vibration frequencies extraction of the Forth Road Bridge in Scotland from high sampling GPS data. The interaction between the dynamic response and the ambient loadings is carefully analysed. A bilinear Chebyshev high-pass filter is designed to isolate the quasistatic movements, the FFT algorithm and peak-picking approach are applied to extract the vibration frequencies, and a GPS data accumulation counter is suggested for real-time monitoring applications. To understand the change in the structural characteristics under different loadings, the deformation results from three different loading conditions are presented, that is, the ambient circulation loading, the strong wind under abrupt wind speed change, and the specific trial with two 40 t lorries passing the bridge. The results show that GPS not only can capture absolute 3D deflections reliably, but also can be used to extract the frequency response accurately. It is evident that the frequencies detected using the filtered deflection time series in different direction show quite different characteristics, and more stable results can be obtained from the height displacement time series. The frequency responses of 0.105 and 0.269Hz extracted from the lateral displacement time series correlate well with the data using height displacement time series. |
| first_indexed | 2025-11-14T19:26:07Z |
| format | Article |
| id | nottingham-35371 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T19:26:07Z |
| publishDate | 2016 |
| publisher | Hindawi |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-353712020-05-04T20:05:44Z https://eprints.nottingham.ac.uk/35371/ Vibration frequencies extraction of the Forth Road Bridge using high sampling GPS data Wang, Jian Meng, Xiaolin Qin, Changbiao Yi, Jiaohong This paper proposes a scheme for vibration frequencies extraction of the Forth Road Bridge in Scotland from high sampling GPS data. The interaction between the dynamic response and the ambient loadings is carefully analysed. A bilinear Chebyshev high-pass filter is designed to isolate the quasistatic movements, the FFT algorithm and peak-picking approach are applied to extract the vibration frequencies, and a GPS data accumulation counter is suggested for real-time monitoring applications. To understand the change in the structural characteristics under different loadings, the deformation results from three different loading conditions are presented, that is, the ambient circulation loading, the strong wind under abrupt wind speed change, and the specific trial with two 40 t lorries passing the bridge. The results show that GPS not only can capture absolute 3D deflections reliably, but also can be used to extract the frequency response accurately. It is evident that the frequencies detected using the filtered deflection time series in different direction show quite different characteristics, and more stable results can be obtained from the height displacement time series. The frequency responses of 0.105 and 0.269Hz extracted from the lateral displacement time series correlate well with the data using height displacement time series. Hindawi 2016 Article PeerReviewed Wang, Jian, Meng, Xiaolin, Qin, Changbiao and Yi, Jiaohong (2016) Vibration frequencies extraction of the Forth Road Bridge using high sampling GPS data. Shock and Vibration, 2016 . 807861/2-807861/18. ISSN 1875-9203 http://www.hindawi.com/journals/sv/2016/9807861/ doi:10.1155/2016/9807861 doi:10.1155/2016/9807861 |
| spellingShingle | Wang, Jian Meng, Xiaolin Qin, Changbiao Yi, Jiaohong Vibration frequencies extraction of the Forth Road Bridge using high sampling GPS data |
| title | Vibration frequencies extraction of the Forth Road Bridge using high sampling GPS data |
| title_full | Vibration frequencies extraction of the Forth Road Bridge using high sampling GPS data |
| title_fullStr | Vibration frequencies extraction of the Forth Road Bridge using high sampling GPS data |
| title_full_unstemmed | Vibration frequencies extraction of the Forth Road Bridge using high sampling GPS data |
| title_short | Vibration frequencies extraction of the Forth Road Bridge using high sampling GPS data |
| title_sort | vibration frequencies extraction of the forth road bridge using high sampling gps data |
| url | https://eprints.nottingham.ac.uk/35371/ https://eprints.nottingham.ac.uk/35371/ https://eprints.nottingham.ac.uk/35371/ |