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) 653–660

SMAR 2024 – 7th International Conference on Smart Monitoring, Assessment and Rehabilitation of Civil Structures Assessing the Evolution of Structural Health Monitoring through Smart Sensor Integration Victor Procópio de Oliveira a , Alan Reis a , José Américo Alves Salvador Filho a, * a IFSP campus Caraguatatuba, Av. Bahia 1739, Indaiá, Caraguatatuba, 11665-073, Brazil Abstract Structural Health Monitoring (SHM) is a vital, continuous, and real-time process for evaluating the physical and functional conditions of various structures, such as buildings, bridges, dams, tunnels, and infrastructures. The primary goal of SHM is to ensure the long-term safety and integrity of these structures by minimizing risks associated with unforeseen failures and extending their operational lifespan. This involves deploying specialized sensors and instruments to collect pertinent data, including stresses, deformations, vibrations, temperature, and other parameters that indicate the state of structural integrity. Especially critical for high-risk structures like bridges and skyscrapers, SHM plays a pivotal role in early problem identification, enabling more efficient scheduling of maintenance and interventions. This, in turn, leads to reduced maintenance costs, enhanced structural safety, and prolonged lifespans for constructions. This study analyses the current state of smart sensor development and their potential to replace conventional methods in structural health monitoring (SHM) through a brief review of existing research. It underscores the critical role of SHM in maintaining the safety and efficiency of structures, especially bridges and viaducts. The research highlights the transformative impact of smart sensors in improving early anomaly detection, structural performance evaluation, and maintenance optimization. By integrating smart technologies with traditional monitoring methods, significant practical benefits such as reduced maintenance costs and extended infrastructure lifespan are demonstrated. The study also emphasizes the need for ongoing research and development to enhance the accessibility and effectiveness of SHM systems in real-world applications, aligning with current advancements in the field. © 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: Structural Health Monitoring, Bridges, Smart Sensors, Traditional Methodologies. SMAR 2024 – 7th International Conference on Smart Monitoring, Assessment and Rehabilitation of Civil Structures Assessing the Evolution of Structural Health Monitoring through Smart Sensor Integration Victor Procópio de Oliveira a , Alan Reis a , José Américo Alves Salvador Filho a, * a IFSP campus Caraguatatuba, Av. Bahia 1739, Indaiá, Caraguatatuba, 11665-073, Brazil Abstract Structural Health Monitoring (SHM) is a vital, continuous, and real-time process for evaluating the physical and functional conditions of various structures, such as buildings, bridges, dams, tunnels, and infrastructures. The primary goal of SHM is to ensure the long-term safety and integrity of these structures by minimizing risks associated with unforeseen failures and extending their operational lifespan. This involves deploying specialized sensors and instruments to collect pertinent data, including stresses, deformations, vibrations, temperature, and other parameters that indicate the state of structural integrity. Especially critical for high-risk structures like bridges and skyscrapers, SHM plays a pivotal role in early problem identification, enabling more efficient scheduling of maintenance and interventions. This, in turn, leads to reduced maintenance costs, enhanced structural safety, and prolonged lifespans for constructions. This study analyses the current state of smart sensor development and their potential to replace conventional methods in structural health monitoring (SHM) through a brief review of existing research. It underscores the critical role of SHM in maintaining the safety and efficiency of structures, especially bridges and viaducts. The research highlights the transformative impact of smart sensors in improving early anomaly detection, structural performance evaluation, and maintenance optimization. By integrating smart technologies with traditional monitoring methods, significant practical benefits such as reduced maintenance costs and extended infrastructure lifespan are demonstrated. The study also emphasizes the need for ongoing research and development to enhance the accessibility and effectiveness of SHM systems in real-world applications, aligning with current advancements in the field. © 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: Structural Health Monitoring, Bridges, Smart Sensors, Traditional Methodologies. © 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. Tel: +55-11-98625-7532. E-mail address: jasalvador@ifsp.edu.br ____________ * Corresponding author. Tel: +55-11-98625-7532. 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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