The maintenance and inspection programs for bridges networks are effective, if they are able to quickly detect problematic performances. The limited inspection procedures must be integrated with continuous monitoring systems, which can be consulted remotely in real time. There are different traditional and innovative techniques to monitor the bridge structural performance. This work investigates the potential of their combination and integration to optimize the Structural Health Monitoring (SHM) of bridges networks. At a territorial level, satellite monitoring techniques is a valuable decision support tool for assessing the global effect on the transport network. Overlapping a georeferenced database of the network bridges to the maps of the measuring points allows to identify the infrastructures affected by higher displacements. Then, a pre-mapping of critical infrastructures is defined, on which a traditional system of sensors can be installed. An important focus is the management of the amount of data acquired through the sensors. At this purpose, the present work presents a procedure of a potential network for management, synthesis and transmission of data derived from sensors used for infrastructure monitoring. The procedure is validating by using a simulation involving two nodes of the proposed monitoring network. One of them is adopted for processing data and extracting indices for the evaluation of structural parameters useful for determining the health of the structure. These indices are then transferred to the main node via the cloud, where the trend over time and any changes is analysed, highlighting any significant changes and generating a potential warning.
Optimization of Structural Health Monitoring for Bridges Networks by Combining Traditional and Innovative Techniques / Miano, A.; Lobianco, A. L.; Mele, A.; Fiorillo, A.; Di Ludovico, M.; Prota, A.. - 433:(2023), pp. 1-10. (Intervento presentato al convegno International Conference on Experimental Vibration Analysis for Civil Engineering Structures tenutosi a Milano (Italy) nel 30 August - 1 September 2023) [10.1007/978-3-031-39117-0_1].
Optimization of Structural Health Monitoring for Bridges Networks by Combining Traditional and Innovative Techniques
Miano A.;Mele A.;Fiorillo A.;Di Ludovico M.;Prota A.
2023
Abstract
The maintenance and inspection programs for bridges networks are effective, if they are able to quickly detect problematic performances. The limited inspection procedures must be integrated with continuous monitoring systems, which can be consulted remotely in real time. There are different traditional and innovative techniques to monitor the bridge structural performance. This work investigates the potential of their combination and integration to optimize the Structural Health Monitoring (SHM) of bridges networks. At a territorial level, satellite monitoring techniques is a valuable decision support tool for assessing the global effect on the transport network. Overlapping a georeferenced database of the network bridges to the maps of the measuring points allows to identify the infrastructures affected by higher displacements. Then, a pre-mapping of critical infrastructures is defined, on which a traditional system of sensors can be installed. An important focus is the management of the amount of data acquired through the sensors. At this purpose, the present work presents a procedure of a potential network for management, synthesis and transmission of data derived from sensors used for infrastructure monitoring. The procedure is validating by using a simulation involving two nodes of the proposed monitoring network. One of them is adopted for processing data and extracting indices for the evaluation of structural parameters useful for determining the health of the structure. These indices are then transferred to the main node via the cloud, where the trend over time and any changes is analysed, highlighting any significant changes and generating a potential warning.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
