PSI - Issue 84

Gianluca Centofanti et al. / Procedia Structural Integrity 84 (2026) 1339–1346

1341

uniform distribution of static schemes: 33.3% are simply supported beam structures, while continuous beam systems, simply supported beams with continuous slab, and simply supported slab structures each account for 16.7%. The remaining 16.6% is divided between Gerber beam systems with external hinges and single-frame structures with vertical piers. Steel bridges implemented within the platform are predominantly characterised by a continuous beam static scheme (66.7%), with the remaining structures evenly distributed among arch bridges, cable-stayed bridges and Gerber beam systems with internal hinges. Composite steel–concrete viaducts, which represent a minority of the monitored assets, are mainly characterised by simply supported beam schemes. The dataset provided by ANAS S.p.A. indicates that the most recurrent structural typologies within the platform are PSC structures with simply supported schemes and steel structures with continuous beam solutions. Based on these statistical results, the following sections present a set of case studies highlighting how, depending on the global dynamic response of the structure, it may be advantageous to subdivide the analyses into suitable sensor subgroups (Tomassini E. et al., 2023). These subgroups are intended to capture homogeneous dynamic behaviours of specific substructures and, in some cases, to reduce the computational burden on the edge computing units while preserving the information necessary for a correct interpretation of the structural response (Tomassini E. et al., 2026). This paper aims to demonstrate how the management and definition of sensor groups can play a decisive role in the accurate interpretation of the structural behaviour of monitored assets, as well as in reducing the computational burden associated with the processing of recorded data. An appropriate sensor grouping strategy has a direct impact on the interpretability of control charts, not only for the identification of potential anomalies, but also for a preliminary and coarse localisation of their possible position within the structure. This capability contributes to narrowing down the areas requiring on-site inspection, thereby supporting more efficient inspection planning. In the remainder of the paper, a set of case studies is presented. These case studies focus on the most recurrent structural typologies within the ANAS S.p.A. network and discuss the most suitable sensor grouping strategies in relation to the objectives outlined above. 2. Case Studies 2.1. Pagano Viaduct The structure under investigation is part of the A19 motorway and is in the municipality of Trabia (Palermo, Italy). The viaduct consists of two spans, each with a length of approximately 33.00 m and a width of 11.50 m. Each span is

Figure 1. Composition of the dataset of infrastructures currently under CSHM.