Abstract Summary
In this study vision based structural health monitoring (VB-SHM) technique is used for system identification of railway bridge in north Netherlands. The bridge is 150 m long and made of composite materials. The bridge is modelled using finite element (FE) software. The dynamic properties estimated by software and monitored data are compared. It is found that the method is robust for system identification of the bridge. Then the bridge is modified using tuned mass dampers for enhancing its vibration. Thus, number of trains with higher speed can pass through the modified bridge.
