PSI - Issue 78

Elisa Tomassini et al. / Procedia Structural Integrity 78 (2026) 1831–1838 Author name / Structural Integrity Procedia 00 (2025) 000–000

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outdated design standards and now face multiple challenges, not only from potential seismic events, but also from environmental exposure, operational loads, and progressive material degradation. Preserving their structural integrity is therefore essential to ensure both public safety and the uninterrupted operation of national transportation networks. In response to these challenges, the Italian Ministry of Infrastructure and Transport [July 1, 2022] issued updated technical guidelines, introducing a five-level framework for the comprehensive management of bridge assets. This framework adopts a multi-hazard perspective, accounting not only for seismic risk, but also for threats posed by land slides, hydrological conditions, and service-related loading. In such a context, the continuous monitoring of structural performance is a key enabler of proactive risk mitigation and long-term infrastructure resilience. Structural Health Monitoring (SHM) systems play a pivotal role in this e ff ort, particularly through vibration-based approaches such as Operational Modal Analysis (OMA) (Magalha˜es et al. [2008]), which allow for non-invasive tracking of structural dynamics. The identification of changes in modal properties—such as natural frequencies and mode shapes—can indicate the onset of damage or deterioration. The growing maturity of data-driven techniques and automated identification algorithms has enhanced the scalability and practical applicability of SHM for real-time, network-wide deployment (see Tomassini et al. [2025] and Garc´ıa-Mac´ıas et al. [2025]). A leading example is the nationwide monitoring program initiated by ANAS S.p.A., Italy’s primary road infrastructure authority. This large scale initiative integrates asset inventory data, continuous ambient vibration monitoring, event-based strong-motion recordings, and advanced analytical tools to support condition assessment and decision-making. In collaboration with academic partners, the program promotes the development of innovative diagnostic algorithms and enables systematic evaluation of bridge behavior under both everyday operational loads and extraordinary seismic events. The applica tion of SHM across a diverse range of bridge typologies—including structurally complex and historically significant examples—o ff ers valuable insights into structural response mechanisms, helping to extend service life and enhance resilience. This paper presents key elements of the ANAS S.p.A structural monitoring initiative, focusing on long-term data integration, representative case studies, and structural performance during recent seismic events. The paper is orga nized as follows: Section 2 outlines the architecture of the ANAS monitoring platform, with particular emphasis on the SHM module. Section 3 discusses key insights derived from the long-term monitoring of a landmark bridge in central Italy. Section 4 presents selected results concerning bridge response to seismic excitation, based on data col lected through the platform. Finally, Section 4 o ff ers concluding remarks and perspectives on the future of large-scale SHM implementation. The P3P platform integrates extensive informational and computational resources into a unified, advanced system for on-demand control and data retrieval. At its core lies a comprehensive Bridge Management System (BMS), aggre gating critical data for structural, seismic, hydraulic, and geotechnical risk assessment—including metadata, original design files, intervention records, inspection reports, and photographic archives. A key innovation is the platform’s advanced SHM subsystem, developed within the P3P software framework under the coordination of its original au thors Garc´ıa-Mac´ıas et al. [2022]. This module enables centralized, real-time monitoring of bridges at the national scale, providing continuous assessment of structural conditions. The platform follows a hybrid architecture, com bining centralized online management with local, onboard processing. Each monitored structure is equipped with dynamic (accelerometers), static (inclinometers), and environmental (temperature / humidity) sensors, all connected via wired networks to an edge computing unit responsible for data storage and local analysis. Accelerometric data are acquired hourly at 100–200 Hz, generating approximately 12 hours of recordings daily. Static and environmental data are logged every 15–30 minutes, ensuring high-resolution monitoring while maintaining e ffi cient data management. The SHM module comprises a suite of tools for large-scale data handling and analysis. The Dashboard o ff ersa real time overview of the monitored network, with filters for sensor status (online / o ffl ine) and access to recent recordings. Selecting a bridge opens a summary panel for downloading, inspecting, or managing data. Users can adjust acquisition settings, view SHM control charts, produce reports, and manage system operations. The SHM project within the P3P platform includes the following key modules: 2. The P3P platform