PSI - Issue 64

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ScienceDirect Structural Integrity Procedia 00 (2023) 000 – 000 Structural Integrity Procedia 00 (2023) 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 64 (2024) 645–652

SMAR 2024 – 7th International Conference on Smart Monitoring, Assessment and Rehabilitation of Civil Structures The A3 highway Monitoring Model for Bridges Surveillance – Results and Considerations SMAR 2024 – 7th International Conference on Smart Monitoring, Assessment and Rehabilitation of Civil Structures The A3 highway Monitoring Model for Bridges Surveillance – Results and Considerations

Carmine Lupo a, *, Luigi Petti a , Constanza Maria De Gaetano a a Department of Civil Engineering, University of Salerno, Via Giovanni Paolo II, 84084, Fisciano, Italy Carmine Lupo a, *, Luigi Petti a , Constanza Maria De Gaetano a a Department of Civil Engineering, University of Salerno, Via Giovanni Paolo II, 84084, Fisciano, Italy

Abstract In the context of road infrastructures management, the development of an optimal and efficient maintenance plan is fundamental to guaranteeing a safety service for the users and an optimal use of the financial resources. For this purpose, an appropriate monitoring methodology becomes necessary to support the managing bodies in the network administration and to give priority on the interventions. In 2020, CUGRI (Inter-University Consortium for the Prediction and Prevention of Major Risks) and SAM (Southern Highways Company) launched a project of applied research, currently ongoing with SIS-SPN (Stable Consortium SIS Scpa), for the development of a surveillance model to dynamically manage the A3 highway (southern Italy). In particular, this model is based on a multidisciplinary approach which involves expert judgments, periodically on-site inspections and instrumental monitoring, according to the Italian rules. The main aim of the activity is to develop a Building Management System (BMS) capable of integrating GIS, BIM, and each risk representations, involving on-site interdisciplinary inspections, multi-hazards and multi-risks approach, and monitoring data analysis, in a strong multidisciplinary context. The paper describes the developed surveillance model and shows the preliminary results. © 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 SMAR 2024 Organizers Keywords: Bridge Monitoring, Risk Analysis, Multidisciplinary Approach. Abstract In the context of road infrastructures management, the development of an optimal and efficient maintenance plan is fundamental to guaranteeing a safety service for the users and an optimal use of the financial resources. For this purpose, an appropriate monitoring methodology becomes necessary to support the managing bodies in the network administration and to give priority on the interventions. In 2020, CUGRI (Inter-University Consortium for the Prediction and Prevention of Major Risks) and SAM (Southern Highways Company) launched a project of applied research, currently ongoing with SIS-SPN (Stable Consortium SIS Scpa), for the development of a surveillance model to dynamically manage the A3 highway (southern Italy). In particular, this model is based on a multidisciplinary approach which involves expert judgments, periodically on-site inspections and instrumental monitoring, according to the Italian rules. The main aim of the activity is to develop a Building Management System (BMS) capable of integrating GIS, BIM, and each risk representations, involving on-site interdisciplinary inspections, multi-hazards and multi-risks approach, and monitoring data analysis, in a strong multidisciplinary context. The paper describes the developed surveillance model and shows the preliminary results. © 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 SMAR 2024 Organizers Keywords: Bridge Monitoring, Risk Analysis, Multidisciplinary Approach. © 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 SMAR 2024 Organizers

* Corresponding author. E-mail address: clupo@unisa.it * Corresponding author. E-mail address: clupo@unisa.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 SMAR 2024 Organizers 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 SMAR 2024 Organizers

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