A Post-Seismic Damage Detection Strategy in Time Domain for a Suspension Bridge with Neural Networks

earthquake response is developed for a suspension bridge. Two neural networks are constructed and trained using the segment of the time series of seismic responses on several locations of the bridge , when earthquake is in small level, to identify the transversal and vertical velocities responses at the deck in the middle of the main span of the suspension bridge. The two neural networks are assumed as nonparametric models for the