PSI - Issue 64
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) 693–699
SMAR 2024 – 7th International Conference on Smart Monitoring, Assessment and Rehabilitation of Civil Structures Advancing Smart Health Monitoring: A Review of Low-Cost Sensors for Structural Assessment M. Komary a *, S. Komarizadehasl a , N. Tošić a , J.A. Lozano-Galant b , J. Turmo a SMAR 2024 – 7th International Conference on Smart Monitoring, Assessment and Rehabilitation of Civil Structures Advancing Smart Health Monitoring: A Review of Low-Cost Sensors for Structural Assessment M. Komary a *, S. Komarizadehasl a , N. Tošić a , J.A. Lozano-Galant b , J. Turmo a Abstract In response to the global demand for structural health monitoring (SHM), particularly in the context of expanding structural assets, this paper conducts a thorough exploration of the integration of low-cost sensors in SHM applications. The primary focus is to introduce various low-cost sensors commonly used in SHM applications for bridges, aiming to unveil their full potential as economical alternatives to expensive commercial sensors. This approach not only broadens accessibility, allowing structures with limited SHM resources to benefit but also enhances measurement points for more robust results. The study begins with the introduction of the NodeMCU, serving as the programmable logic controller equipped with a built-in WiFi module. This feature enables IoT functionality for the low-cost sensors under review. The exploration then delves into an array of digital sensors. Systematic ambient tests were conducted to uncover challenges during sensor installation and data acquisition. The paper not only introduces these low-cost electronic devices but also provides practical solutions to overcome identified issues, ensuring their effective utilization for SHM purposes. © 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 (SHM), Low-Cost Sensor, Bridge Monitoring. © 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 a Universitat Politècnica de Catalunya, C/ Jordi Girona 31, Barcelona, 08034, Spain b Univesidad de Castilla-La Mancha, C/ Altagracia, 50, Ciudad Real, 13071, Spain a Universitat Politècnica de Catalunya, C/ Jordi Girona 31, Barcelona, 08034, Spain b Univesidad de Castilla-La Mancha, C/ Altagracia, 50, Ciudad Real, 13071, Spain Abstract In response to the global demand for structural health monitoring (SHM), particularly in the context of expanding structural assets, this paper conducts a thorough exploration of the integration of low-cost sensors in SHM applications. The primary focus is to introduce various low-cost sensors commonly used in SHM applications for bridges, aiming to unveil their full potential as economical alternatives to expensive commercial sensors. This approach not only broadens accessibility, allowing structures with limited SHM resources to benefit but also enhances measurement points for more robust results. The study begins with the introduction of the NodeMCU, serving as the programmable logic controller equipped with a built-in WiFi module. This feature enables IoT functionality for the low-cost sensors under review. The exploration then delves into an array of digital sensors. Systematic ambient tests were conducted to uncover challenges during sensor installation and data acquisition. The paper not only introduces these low-cost electronic devices but also provides practical solutions to overcome identified issues, ensuring their effective utilization for SHM purposes. © 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 (SHM), Low-Cost Sensor, Bridge Monitoring.
* Corresponding author: Mahyad Komary E-mail address: mahyad.komary@upc.edu * Corresponding author: Mahyad Komary E-mail address: mahyad.komary@upc.edu
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
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 10.1016/j.prostr.2024.09.329
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