A Novel Acceleration-Based Moving Force Identification Algorithm to Detect Global Bridge Damage

This paper presents a new moving force identification (MFI) algorithm that uses measured accelerations to infer applied vehicle forces on bridges. Previous MFI algorithms use strain or deflection measurements. Statistics of the inferred are used in turn as indicators global bridge damage. The acceleration-based (A-MFI) is validated through numerical simulations with coupled vehicle-bridge dynamic interaction model programmed MATLAB. A focussed sensitivity study suggests results sensitive accuracy velocity data. Gross Vehicle Weight (GVW), calculated by A-MFI, proposed damage indicator. real weigh-in-motion database simulation vehicle/bridge interaction, validate concept. Results show standard deviation GVWs has good correlation level.