PSI - Issue 62

ScienceDirect Available online at www.sciencedirect.com ScienceDirect Available online at www.sciencedirect.com ScienceDirect Structural Integrity Procedia 00 (2022) 000 – 000 Available online at www.sciencedirect.com Procedia Structural Integrity 62 (2024) 9–15 Structural Integrity Procedia 00 (2022) 000 – 000

www.elsevier.com/locate/procedia

www.elsevier.com/locate/procedia

II Fabre Conference – Existing bridges, viaducts and tunnels: research, innovation and applications (FABRE24) Application of the Italian Guidelines for Risk Classification and Management of Bridges on a Large Sample Owned by Local Municipalities Manuel D’Angelo a,b *, Nicola Salvadori a a Tecnoindagini Srl., via Monte Sabotino, 14 – 20095 – Cusano Milanino, Italy b Dipartimento di Ingegneria Civile e Ambientale, Politecnico di Milano, Piazza Leonardo Da Vinci, – 20133 – Milano, Italy Application of the Italian Guidelines for Risk Classification and Management of Bridges on a Large Sample Owned by Local Municipalities Manuel D’Angelo a,b *, Nicola Salvadori a a Tecnoindagini Srl., via Monte Sabotino, 14 – 20095 – Cusano Milanino, Italy b Dipartimento di Ingegneria Civile e Ambientale, Politecnico di Milano, Piazza Leonardo Da Vinci, – 20133 – Milano, Italy Abstract In recent years the creation of bridge inventory databases in Italy has become one of the main tasks for bridge owners, in appliance of the Italian Guidelines for the classification, risk management, safety evaluation and monitoring of existing bridges and the early published Operating Instructions. Following the new guidelines, it is finally possible to know the characteristics and the state of conservation of bridges of a complex infrastructural system such as the Italian. The present work provides a statistical analysis on the application of the guidelines over a large sample of bridges owned by local municipalities. In general, these bridges differentiate from bridges owned by highway and country road bodies for dimensions, structural characteristics, and levels of exposure. Therefore, this analysis allows to provide more insights on the bridge characteristics and state of conservations of the Italian infrastructures. Keywords: existing bridges; bridge statistics; risk evaluation and classification; level of conservation; vulnerability © 2024 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 Scientific Board Members Abstract In recent years the creation of bridge inventory databases in Italy has become one of the main tasks for bridge owners, in appliance of the Italian Guidelines for the classification, risk management, safety evaluation and monitoring of existing bridges and the early published Operating Instructions. Following the new guidelines, it is finally possible to know the characteristics and the state of conservation of bridges of a complex infrastructural system such as the Italian. The present work provides a statistical analysis on the application of the guidelines over a large sample of bridges owned by local municipalities. In general, these bridges differentiate from bridges owned by highway and country road bodies for dimensions, structural characteristics, and levels of exposure. Therefore, this analysis allows to provide more insights on the bridge characteristics and state of conservations of the Italian infrastructures. Keywords: existing bridges; bridge statistics; risk evaluation and classification; level of conservation; vulnerability II Fabre Conference – Existing bridges, viaducts and tunnels: research, innovation and applications (FABRE24)

* Corresponding author. Tel.: +39- 02 36527601. E-mail address: manuel.dangelo@polimi.it

2452-3216 © 2024 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 Scientific Board Members 10.1016/j.prostr.2024.09.010 2452-3216 © 2024 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 Scientific Board Member s 2452-3216 © 2024 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 Scientific Board Member s * Corresponding author. Tel.: +39- 02 36527601. E-mail address: manuel.dangelo@polimi.it

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