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.

References

Breuer, P., Chmielewski, T., Górski, P., & Konopka, E. (2002). Application of GPS technology to measurements of displacements of high-rise structures due to weak winds. Journal of Wind Engineering and Industrial Aerodynamics, 90(3), 223-230. http://dx.doi.org/10.1016/S0167-6105(01)00221-5

Brown, C., Roberts, G., & Meng, X. (2006). Developments in the use of GPS for bridge monitoring. Proceedings of the Institution of Civil Engineers - Bridge Engineering, 159(3), 117-119. https://doi.org/10.1680/bren.2006.159.3.117

Encheng, W., Zhuopeng, W., & Zhang, C. (2013). A wideband antenna for global navigation satellite system with reduced multipath effect. IEEE Antennas & Wireless Propagation Letters, 12(1), 124-127. https://doi.org/10.1109/LAWP.2013.2243695

Gillinstruments.com. (2017). WindMaster Pro 3-Axis anemometer | Gill instruments. Retrieved from http://gillinstruments.com/products/anemometer/windmaster-pro.html

Han, H., Wang, J., Meng, X., & Liu, H. (2016). Analysis of the dynamic response of a long span bridge using GPS/accelerometer/anemometer under typhoon loading. Engineering Structures, 122, 238-250. https://doi.org/10.1016/j.engstruct.2016.04.041

Hristopulos, D., Mertikas, S., Arhontakis, I., & Brownjohn, J. (2006). Using GPS for monitoring tall-building response to wind loading: Filtering of abrupt changes and low-frequency noise, variography and spectral analysis of displacements. GPS Solutions, 11(2), 85-95. http://dx.doi.org/10.1007/s10291-006-0035-7

Leica Geosystems. (2017). Leica GR10 Brochure. Retrieved from http://w3.leica-geosystems.com

Meng, X., Dodson, A., & Roberts, G. (2007). Detecting bridge dynamics with GPS and triaxial accelerometers. Engineering Structures, 29(11), 3178-3184. https://doi.org/10.1016/j.engstruct.2007.03.012

Meo, M., Luliano, E., & Morris, A. J. (2002). Health monitoring of large scale civil structures. Cranfield, UK: Cranfield University.

Psimoulis, P., Pytharouli, S., Karambalis, D., & Stiros, S. (2008). Potential of Global Positioning System (GPS) to measure frequencies of oscillations of engineering structures. Journal of Sound and Vibration, 318(3), 606-623. http://dx.doi.org/10.1016/j.jsv.2008.04.036

Quan, Y., Lau, L., Roberts, G., & Meng, X. (2015). Measurement signal quality assessment on all available and new signals of multi-GNSS (GPS, GLONASS, Galileo, BDS, and QZSS) with Real Data. Journal of Navigation, 69(2), 313-334. https://doi.org/10.1017/S0373463315000624

Theforthbridges.org. (2017). Facts and Figures | Forth Road Bridge | The Forth Bridges. Retrieved from https://www.theforthbridges.org/forth-road-bridge/facts-and-figures

Tranquilla, J., Carr, J., & Al-Rizzo, H. (1994). Analysis of a choke ring groundplane for multipath control in Global Positioning System (GPS) applications. IEEE Transactions on Antennas and Propagation, 42(7), 905-911. https://doi.org/10.1109/8.299591

Wang, D., Meng, X., Gao, C., Pan, S., & Chen, Q. (2017). Multipath extraction and mitigation for bridge deformation monitoring using a single-difference model. Advances in Space Research, 60(12), 2882-2895. https://doi.org/10.1016/j.asr.2017.01.007

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Published

2022-03-03

How to Cite

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

Issue

Vol. 4 No. 3 (2022): July - September

Section

Article

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