Experimental Analysis on Moving Vehicle Force Identification from Bridge Responses Using an Extended Kalman Filter

摘要

In this paper, a moving force identification technique is proposed by implementing an Extended Kalman filter technique. The vehicle static weight and dynamic load time histories are identified from bridge vertical accelerations and bridge inclinations extracted from 3-axis wireless accelerometers. Experimental results show that the proposed algorithm successfully identifies the moving dynamic force with an error around 10%.