ABSTRACT
The VBISI (Vehicle-Bridge Interaction System Identification) method is a drive-by monitoring method that measures and collects a large amount of vibration and route data from a group of vehicles, and simultaneously identifies the mechanical parameters of each vehicle and the bridges. The identification process randomly assumes the mechanical parameters of each vehicle and bridge, and solves two processes, namely the vehicle IEP (Input Estimation Problem) and the bridge DRS (Dynamic Response Simulation) to estimate the road unevenness. Bridge DRS is not required if bridge vibration data is available. However, if the bridge DRS is replaced by the measured value, the identification accuracy tends to decrease. Therefore, this study proposes a method to obtain the maximum likelihood value of bridge vibration from DRS-estimated values and measured values using sequential processing.
