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...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2016-01-01
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| Series: | Shock and Vibration |
| Online Access: | http://dx.doi.org/10.1155/2016/9807861 |
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| _version_ | 1832559476469661696 |
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| author | Jian Wang Xiaolin Meng Changbiao Qin Jiaohong Yi |
| author_facet | Jian Wang Xiaolin Meng Changbiao Qin Jiaohong Yi |
| author_sort | Jian Wang |
| collection | DOAJ |
| 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 0.269 Hz extracted from the lateral displacement time series correlate well with the data using height displacement time series. |
| format | Article |
| id | doaj-art-2c28915633d74cc2a8bf909913e4d6f0 |
| institution | Kabale University |
| issn | 1070-9622 1875-9203 |
| language | English |
| publishDate | 2016-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Shock and Vibration |
| spelling | doaj-art-2c28915633d74cc2a8bf909913e4d6f02025-02-03T01:29:57ZengWileyShock and Vibration1070-96221875-92032016-01-01201610.1155/2016/98078619807861Vibration Frequencies Extraction of the Forth Road Bridge Using High Sampling GPS DataJian Wang0Xiaolin Meng1Changbiao Qin2Jiaohong Yi3School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, ChinaSino-UK Geospatial Engineering Centre, The University of Nottingham, Nottingham NG7 2TU, UKSchool of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, ChinaSchool of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, ChinaThis 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 0.269 Hz extracted from the lateral displacement time series correlate well with the data using height displacement time series.http://dx.doi.org/10.1155/2016/9807861 |
| spellingShingle | Jian Wang Xiaolin Meng Changbiao Qin Jiaohong Yi Vibration Frequencies Extraction of the Forth Road Bridge Using High Sampling GPS Data Shock and Vibration |
| 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 | http://dx.doi.org/10.1155/2016/9807861 |
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