ABSTRACT
The progress made in the field of Structural Health Monitoring (SHM) has led monitoring systems to become an essential support tool for infrastructures management. The application of these systems on large infrastructures networks allows administrators to assess the remaining safety levels of managed bridges and, if necessary, helps in prioritizing and planning maintenance interventions. The need to implement a widespread monitoring system on a large scale clearly incurs costs that are often not compatible with the resources available. This problem gives rise to the need to optimize the use of monitoring systems. Sacertis Ingegneria, a leading company in the field of structural monitoring with over 150 continuously monitored structures, has responded to this need by offering various monitoring services, ranging in complexity. These services are evaluated and applied based on the characteristics and monitoring requirements of the structure under examination. This paper details distinct monitoring approaches proposed by Sacertis Ingegneria, differentiated by the adopted analysis method, which can be Model Driven, Data Driven, or a combination of both, and by the extension of the system (sensors layout) on the monitored elements (Local vs Global monitoring). Algorithms and Key Performance Indicators (KPIs) are so differentiated, as well as the scope of the analysis changes based on the chosen approach, ranging from an anomaly to a damage detection aim (Model Driven vs Data Driven approach). The choice of the approach depends on the structure itself, and the paper describes all the aspects to consider in this decision, including the health status of the structure, its strategic importance, its robustness, the consequences associated with potential closure or structural collapse, etc. Furthermore, the paper provides an illustrative example of the proposed monitoring approaches, comparing them and highlighting their advantages and limitations in a practical case study.
