Cross-correlation analysis of wind speeds and displacements of a long- span bridge with GNSS under extreme wind conditions

Authors

  • Hongbo Wang Naval Architecture and Ocean Engineering R&D Center of Guangdong Province, South China University of Technology, China
  • Xiaolin Meng Nottingham Geospatial Institute, The University of Nottingham, UK
  • Chaohe Chen School of Civil Engineering and Transportation, South China University of Technology, China

DOI:

https://doi.org/10.33175/mtr.2022.254407

Keywords:

Dynamic response, Long span bridges, Cross-correlation analysis, Global Navigation Satellite System, Extreme wind loading

Abstract

Nowadays, real-time bridge deformation monitoring has attracted more attention, due to huge civil engineering structures, such as long-span bridges, which are susceptible to dynamic deflection caused by various loadings. Hence, precise dynamic response measurement becomes necessary to make structure monitoring more reliable and accurate. Currently, Global Navigation Satellite System (GNSS) positioning technology is commonly used in this field to detect the dynamic displacement of long-span bridges. According to this, real-time data was collected from the Forth Road Bridge to observe the dynamic response of long-span bridges under extreme wind load conditions. This article has also verified the data processing technique of the real-time bridge deformation monitoring system. Compared with other monitoring methods, this method, with GPS and anemometer, has features of high frequency with low lag. After data synchronization and post-processing, the variation of wind speed and deflection of the main bridge span over time were obtained. Background noise was eliminated by the embedded software and the lowpass filter. Finally, according to the cross-correlation analysis, the relationship between wind speed and bridge displacement has been found, and the deflection in the y-axis has the largest correlation coefficient.

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Cite this article: Wang, H., Meng, X., Chen, C. (2022). Cross-correlation analysis of wind speeds and displacements of a long-span bridge with GNSS under extreme wind conditions. Maritime Technology and Research, 4(3), 254407. https://doi.org/10.33175/mtr.2022.254407
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Published

2022-03-03