USING AN INSTRUMENTED VEHICLE TO ESTIMATE SURFACE ROUGHNESS OF A BRIDGE

Abstract eng:
Bridge parameter identification based on vehicle-bridge interaction theory and data extracted from the vehicle response has many potential applications. However, its real application is restricted, partly due to the bridge surface roughness, which can significantly contaminate the vehicle response data and make parameter identification hard or even impossible. If the bridge surface roughness can be detected with satisfactory accuracy, then it is possible to eliminate its uncertain effect on the vehicle-bridge interaction, which will facilitate more accurate identification. This study aims to provide a way to estimate the surface roughness profile of a bridge using the acceleration data gathered from a vehicle running on the bridge twice with different masses. The mass-spring-damper model is used to simulate the moving vehicle. Finite element simulation results show that this method is able to estimate the surface roughness profile accurately.

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