PSI - Issue 62

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

www.elsevier.com/locate/procedia www.elsevier.com/locate/procedia

Procedia Structural Integrity 62 (2024) 57–64

II Fabre Conference – Existing bridges, viaducts and tunnels: research, innovation and applications (FABRE24) Statistical analysis of existing bridges inspection results and road network risk management Carla Assunta Trifarò a , Alfredo Rossi a , Galileo Tamasi a *, Emanuele Renzi a , Mattia Zizi b,c , Gianfranco De Matteis b,c , Nicola Sacco d a National Safety Agency for Safety of Railway and Road infrastructures, Viale del Policlinico,2 – 00185 – Roma, Italy b University of Campania “ Luigi Vanvitelli ” , Via San Lorenzo – Abazia di San Lorenzo, – 81031 Aversa (CE), Italy c Consorzio Fabre, Largo Lucio Lazzarino, 1 – 56122 Pisa, Italy d University of Genova, Via Balbi 5, 16126 Genova, Italy Abstract The Italian scenario of road bridges appears particularly singular as most of the road bridges were built around the early ‘7 0s of the last century. This paper focuses on the peculiar situations encountered during the inspection activities carried out by the National Safety Agency for Safety of Railway and Road infrastructures (Ansfisa). In particular, an analytical picture of the inspection experience conducted by Ansfisa on the A24 and A25 autoroutes is presented. The infrastructure sample analyzed concerns of 549 existing bridges. The performed inspections allowed for obtaining data on the state of conservation of the considered structures. The statistical elaboration of the collected data, allowed for highlighting typical situations of the state of conservations of typical Italian highway bridges, as well as for drawing considerations useful for the planning of random inspection activities and for the management of infrastructural risk at the network. © 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 Keywords: Existing Bridges, Structural risk assessment, Information needs, Linear regression structural degradation, Road network, Risk Management II Fabre Conference – Existing bridges, viaducts and tunnels: research, innovation and applications (FABRE24) Statistical analysis of existing bridges inspection results and road network risk management Carla Assunta Trifarò a , Alfredo Rossi a , Galileo Tamasi a *, Emanuele Renzi a , Mattia Zizi b,c , Gianfranco De Matteis b,c , Nicola Sacco d a National Safety Agency for Safety of Railway and Road infrastructures, Viale del Policlinico,2 – 00185 – Roma, Italy b University of Campania “ Luigi Vanvitelli ” , Via San Lorenzo – Abazia di San Lorenzo, – 81031 Aversa (CE), Italy c Consorzio Fabre, Largo Lucio Lazzarino, 1 – 56122 Pisa, Italy d University of Genova, Via Balbi 5, 16126 Genova, Italy Abstract The Italian scenario of road bridges appears particularly singular as most of the road bridges were built around the early ‘7 0s of the last century. This paper focuses on the peculiar situations encountered during the inspection activities carried out by the National Safety Agency for Safety of Railway and Road infrastructures (Ansfisa). In particular, an analytical picture of the inspection experience conducted by Ansfisa on the A24 and A25 autoroutes is presented. The infrastructure sample analyzed concerns of 549 existing bridges. The performed inspections allowed for obtaining data on the state of conservation of the considered structures. The statistical elaboration of the collected data, allowed for highlighting typical situations of the state of conservations of typical Italian highway bridges, as well as for drawing considerations useful for the planning of random inspection activities and for the management of infrastructural risk at the network. © 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 Keywords: Existing Bridges, Structural risk assessment, Information needs, Linear regression structural degradation, Road network, Risk Management © 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

* Corresponding author. Tel.: +39(320)6197910; E-mail address: galileo.tamasi@ansfisa.gov.it * Corresponding author. Tel.: +39(320)6197910; E-mail address: galileo.tamasi@ansfisa.gov.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 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

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.2024.09.016