Bridge health monitoring, structural assessment and dynamic response with remote controls

An overview of the main recent techniques of Bridge Health Monitoring (BHM) is presented, addressing the use of remote controls. The data coming from satellite measurements, together with travelling cars can be matched and elaborated with the help of machine learning strategies. The data can be interpreted with a view to obtaining information for a deeper investigation into the integrity or serviceability of the bridge. A brief discussion on key gaps and perspectives is finally presented.