Vibration frequencies extraction of the Forth Road Bridge using high sampling GPS data

Wang, Jian; Meng, Xiaolin; Qin, Changbiao; Yi, Jiaohong

Abstract

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.

Citation

Wang, J., Meng, X., Qin, C., & Yi, J. (2016). Vibration frequencies extraction of the Forth Road Bridge using high sampling GPS data. Shock and Vibration, 2016, Article 807861. https://doi.org/10.1155/2016/9807861

• Journal Article Type: Article
• Acceptance Date: Sep 8, 2015
• Publication Date: Jan 1, 2016
• Deposit Date: Jul 25, 2016
• Publicly Available Date: Jul 25, 2016
• Journal: Shock and Vibration
• Print ISSN: 1070-9622
• Electronic ISSN: 1875-9203
• Publisher: Hindawi
• Peer Reviewed: Peer Reviewed
• Volume: 2016
• Article Number: 807861
• DOI: https://doi.org/10.1155/2016/9807861
• Public URL: https://nottingham-repository.worktribe.com/output/980394
• Publisher URL: http://www.hindawi.com/journals/sv/2016/9807861/
• Contract Date: Jul 25, 2016