Abstract:The traffic volume in China is all on the rise with the economic development, which has caused the great pressure on the usability, durability and safety of traffic infrastructure. Therefore, it is of great significance to effectively identify the moving vehicle load on the safety of highway traffic infrastructure. The moving vehicle-load identification model is established based on the spatial grillage bridge model. Compared with the single-girder model and solid model, the spatial grillage bridge model can efficiently consider the influence of different lateral driving positions of the vehicle on the vehicle-load identification. Taking a simple-supported T-girder bridge as an example, the influences of the number of strain measuring points, signal noise, vehicle speed, pavement roughness and axle-load action position on the identification accuracy of vehicle dynamic and static loads are explored through numerical simulation. The results show that the dynamic-axle load identification error based on the spatial grillage method is 10% ~ 19%, and the static-axle load identification error is within 8%. The identification error values of dynamic-axle load and static-axle load are consistent with each other. The identification error value decreases with the increase of the number of measuring points, and increases with the increase of the noise and the increase of pavement roughness level. The closer the vehicle driving is to the centerline of the bridge, the higher the identification accuracy of the dynamic-axle load. Nevertheless, the change of vehicle speed has no obvious effect on the error of the dynamic-axle load.
