NUMERICAL STUDIES ON BRIDGE INSPECTION USING DATA OBTAINED FROM SENSORS ON VEHICLE

Abstract

In this study, we proposed a methodology for a technique to simultaneously estimate the mechanical parameters of vehicles and bridges and road surface roughness from vehicle vibration. The MCMC (Markov chain Monte Carlo) method was used to search for parameters from vehicle vibrations generated by numerical simulation. The results obtained are estimable even in the presence of bridge stiffness reduction, which suggests the possibility of bridge damage detection using vehicle vibration.