AUTOMATIC DEFORMATION MONITORING FOR LARGE SPAN BRIDGE BASED ON MULTI-CONSTELLATION BDS AND GPS SYSTEM

Jun Yang, Jun Cheng, Jialin Wang, and Yanmei Feng

Keywords

Automonitoring, BDS, GPS, sensors, longspan bridge

Abstract

Large span bridges play a vital role in socio-economic development across worldwide. Most of the bridges are vulnerable to mountainous regional geological disasters which cause interruption of road network. Bridges must survive the attacks of high-speed wind loading, earthquakes, ageing, and increasing traffic volume. Traditional deformation monitoring methods cannot meet the demands of unmanned deformation monitoring, especially in mountainous regions. Thus, the intelligent equipment with more reliable performance and higher accuracy is in urgent need of automated monitoring. In this paper, through extensive calculation, the authors introduce achievable positioning performance using BDS and GPS systems. A latest automatic deformation monitoring system, based on real-time highprecision BDS/GPS positioning, is also presented. In the final part of this paper, based on in situ test results by using limited sensors, the applied load was back calculated and loaded to the finite element model to achieve analysis of full bridge real-time deformation. The results show that by combining the two methods, BDS and GPS real-time automatic position monitoring, the load and deformation of long-span bridges can be calculated. The method can be used to evaluate the actual operating condition of existing bridge. Thus, the unmanned auto-monitoring and early warning system has been established for long-span bridges in mountainous areas.

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