PSI - Issue 78

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ScienceDirect

Procedia Structural Integrity 78 (2026) 1831–1838 Structural Integrity Procedia 00 (2025) 000–000 Structural Integrity Procedia 00 (2025) 000–000

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© 2025 The Authors. Published by ELSEVIER B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) Peer-review under responsibility of XX ANIDIS Conference organizers © 2025 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http: // creativecommons.org / licenses / by-nc-nd / 4.0 / ) Peer-review under responsibility of XX ANIDIS Conference organizers. Keywords: Bridge Management System; Bridge networks; Multi-hazard; Operational Modal Analysis; Structural Health Monitoring. Abstract The increasing number of bridge failures worldwide has prompted governments to adopt stricter maintenance regulations, placing emphasis on structured network management through comprehensive inventories, periodic inspections, and continuous long-term monitoring. In this context, Italy’s Ministry of Infrastructure introduced new guidelines in 2020, establishing a five-level analyt ical framework encompassing inventory management, multi-hazard condition assessment, and structural monitoring. One of the most comprehensive national e ff orts in this domain is led by ANAS S.p.A., Italy’s main road infrastructure authority, which has implemented a large-scale monitoring program across its bridge network. This initiative integrates detailed structural inventories, continuous dynamic monitoring, seismic analysis, and advanced diagnostic tools, supporting a shift toward proactive and predic tive maintenance. Collaboration with academic institutions plays a critical role in this program, fostering the development of novel algorithms for structural diagnosis and expanding scientific knowledge of bridge behavior under both operational loads and seismic events. By applying SHM methodologies to a wide variety of structures—including critical and landmark bridges—the initiative enhances infrastructure resilience, serviceability, and lifespan. This paper outlines key elements of the ANAS program, presenting selected case studies, long-term monitoring strategies, and insights derived from recent seismic events. © 2025 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http: // creativecommons.org / licenses / by-nc-nd / 4.0 / ) Peer-review under responsibility of XX ANIDIS Conference organizers. Keywords: Bridge Management System; Bridge networks; Multi-hazard; Operational Modal Analysis; Structural Health Monitoring. XX ANIDIS Conference Enhancing infrastructure safety in Italy through network-scale, real-time multi-risk bridge monitoring Elisa Tomassini a, ∗ , Giuseppe Chellini b , Enrique Garc´ıa-Mac´ıas c , Gianluca Centofanti b , Lorenzo Lepori d , Paolo Mannella d , Walter Salvatore b , Filippo Ubertini a a Department of Civil and Environmental Engineering, University of Perugia, Via G. Duranti, 93 - 06125 Perugia, Italy. b Department of Civil and Industrial Engineering, University of Pisa, Largo L. Lazzarino 1, Pisa, 56122, Italy. c Department of Structural Mechanics and Hydraulic Engineering, University of Granada, Av. Fuentenueva sn, 18002 Granada, Spain. d ANAS S.p.A. Abstract The increasing number of bridge failures worldwide has prompted governments to adopt stricter maintenance regulations, placing emphasis on structured network management through comprehensive inventories, periodic inspections, and continuous long-term monitoring. In this context, Italy’s Ministry of Infrastructure introduced new guidelines in 2020, establishing a five-level analyt ical framework encompassing inventory management, multi-hazard condition assessment, and structural monitoring. One of the most comprehensive national e ff orts in this domain is led by ANAS S.p.A., Italy’s main road infrastructure authority, which has implemented a large-scale monitoring program across its bridge network. This initiative integrates detailed structural inventories, continuous dynamic monitoring, seismic analysis, and advanced diagnostic tools, supporting a shift toward proactive and predic tive maintenance. Collaboration with academic institutions plays a critical role in this program, fostering the development of novel algorithms for structural diagnosis and expanding scientific knowledge of bridge behavior under both operational loads and seismic events. By applying SHM methodologies to a wide variety of structures—including critical and landmark bridges—the initiative enhances infrastructure resilience, serviceability, and lifespan. This paper outlines key elements of the ANAS program, presenting selected case studies, long-term monitoring strategies, and insights derived from recent seismic events. XX ANIDIS Conference Enhancing infrastructure safety in Italy through network-scale, real-time multi-risk bridge monitoring Elisa Tomassini a, ∗ , Giuseppe Chellini b , Enrique Garc´ıa-Mac´ıas c , Gianluca Centofanti b , Lorenzo Lepori d , Paolo Mannella d , Walter Salvatore b , Filippo Ubertini a a Department of Civil and Environmental Engineering, University of Perugia, Via G. Duranti, 93 - 06125 Perugia, Italy. b Department of Civil and Industrial Engineering, University of Pisa, Largo L. Lazzarino 1, Pisa, 56122, Italy. c Department of Structural Mechanics and Hydraulic Engineering, University of Granada, Av. Fuentenueva sn, 18002 Granada, Spain. d ANAS S.p.A.

1. Introduction 1. Introduction

Italy’s complex geological setting subjects much of its territory to elevated seismic risk, underscoring the strategic importance of protecting critical infrastructure such as bridges. Many existing bridges were constructed according to Italy’s complex geological setting subjects much of its territory to elevated seismic risk, underscoring the strategic importance of protecting critical infrastructure such as bridges. Many existing bridges were constructed according to

∗ Corresponding author. E-mail address: elisa.tomassini@dottorandi.unipg.it ∗ Corresponding author. E-mail address: elisa.tomassini@dottorandi.unipg.it

2452-3216 © 2025 The Authors. Published by ELSEVIER B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) Peer-review under responsibility of XX ANIDIS Conference organizers 10.1016/j.prostr.2025.12.233 2210-7843 © 2025 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http: // creativecommons.org / licenses / by-nc-nd / 4.0 / ) Peer-review under responsibility of XX ANIDIS Conference organizers. 2210-7843 © 2025 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http: // creativecommons.org / licenses / by-nc-nd / 4.0 / ) Peer-review under responsibility of XX ANIDIS Conference organizers.