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 ^ĐŝĞŶĐĞ ŝƌĞĐƚ Available online at www.sciencedirect.com ^ĐŝĞŶĐĞ ŝƌĞĐƚ

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

Procedia Structural Integrity 64 (2024) 1168–1175

SMAR 2024 – 7th International Conference on Smart Monitoring, Assessment and Rehabilitation of Civil Structures Applications of Digital Twins in Reinforced and Prestressed Concrete Bridge Infrastructure Lucas Martins Barreto a , José Américo Alves Salvador Filho a * a IFSP campus Caraguatatuba, Av. Bahia 1739, Indaiá, Caraguatatuba, 11665-073, Brazil Abstract This study investigates into the innovative application of Digital Twins to monitor the structural health of reinforced and prestressed concrete bridges. Digital Twins, precise digital representations of real structures, emerge as an advanced solution, integrating data collected through drones and sensors to simulate and analyze structural behavior. This approach is decisive for anticipating pathological manifestations, optimizing maintenance, and preventing failures, holding significant implications for the future of structural engineering. The research investigates the application of Digital Twins in monitoring the structural health of concrete bridges, emphasizing their potential in early identification of pathologies, efficient maintenance, and prevention of structural failures. Two case studies exemplify the practical application of this technology, highlighting challenges such as complex data integration and associated costs. Digital Twins, capable of simulating structural behavior, have proven effective in monitoring the health of concrete bridges, addressing pathological manifestations, and optimizing maintenance. Despite technological challenges and associated costs, their application is necessary to ensure structural safety, reducing both human and economic impacts.Click here and insert your abstract text. © 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) SMAR 2024 – 7th International Conference on Smart Monitoring, Assessment and Rehabilitation of Civil Structures Applications of Digital Twins in Reinforced and Prestressed Concrete Bridge Infrastructure Lucas Martins Barreto a , José Américo Alves Salvador Filho a * a IFSP campus Caraguatatuba, Av. Bahia 1739, Indaiá, Caraguatatuba, 11665-073, Brazil Abstract This study investigates into the innovative application of Digital Twins to monitor the structural health of reinforced and prestressed concrete bridges. Digital Twins, precise digital representations of real structures, emerge as an advanced solution, integrating data collected through drones and sensors to simulate and analyze structural behavior. This approach is decisive for anticipating pathological manifestations, optimizing maintenance, and preventing failures, holding significant implications for the future of structural engineering. The research investigates the application of Digital Twins in monitoring the structural health of concrete bridges, emphasizing their potential in early identification of pathologies, efficient maintenance, and prevention of structural failures. Two case studies exemplify the practical application of this technology, highlighting challenges such as complex data integration and associated costs. Digital Twins, capable of simulating structural behavior, have proven effective in monitoring the health of concrete bridges, addressing pathological manifestations, and optimizing maintenance. Despite technological challenges and associated costs, their application is necessary to ensure structural safety, reducing both human and economic impacts.Click here and insert your abstract text. © 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: Type your keywords here, separated by semicolons ; © 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 Peer-review under responsibility of SMAR 2024 Organizers Keywords: Type your keywords here, separated by semicolons ;

* Corresponding author. Tel.: +55 12 98625-7532. E-mail address: jasalvador@ifsp.edu.br * Corresponding author. Tel.: +55 12 98625-7532. E-mail address: jasalvador@ifsp.edu.br

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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