Journal
STRUCTURES
Volume 44, Issue -, Pages 1070-1080Publisher
ELSEVIER SCIENCE INC
DOI: 10.1016/j.istruc.2022.08.074
Keywords
Random Traffic flow; Vehicle-bridge interaction; Dynamic response; Long-span suspension bridge; Monte Carlo sampling
Categories
Funding
- National Natural Science Foundation of China [52178119, 51778135]
- Distinguished Young Scientists of Jiangsu Province [BK20190013]
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This paper presents a random traffic loading method based on actual traffic data for the vehicle-bridge interaction (VBI) system. The method determines the number and type of vehicles based on hourly traffic flow data and simulates the dynamic response of the bridge under bridge operational load. The method has the potential feasibility for analyzing the bridge's dynamic response and comparing it with past structural health monitoring data.
A random traffic loading method, which is based on the actual traffic data, in vehicle-bridge interaction (VBI) system is presented in this paper. In this method, the number and type of vehicles are determined by the hourly traffic flow data. Based on the traffic flow characteristic statistics in China, the layout the traffic flow on a multi-lane road can be obtained by lane distribution probability of vehicles. After Monte Carlo sampling the vehicle gaps, the random traffic flow simulation could be carried out. By incorporating the random traffic flow into the precise time-integration based on VBI system, the dynamic response of the bridge under bridge operational load was simulated and presented here. This method has a potential feasibility for bridge's dynamic response analysis and comparison with the past structural health monitoring data. Numerical results indicate that the maximum dynamic deflection of steel girder is in the mid-span of the suspension bridge. Whereas the side-span of the suspension bridge is more sensitive to the forced vibrations excited by vehicles.
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