2026-04-17T03:27:47Zhttps://recercat.cat/oai/request

oai:recercat.cat:2117/4141872026-01-21T06:15:06Zcom_2072_1033col_2072_452950

00925njm 22002777a 4500 dc Komarizadehasl, Seyedmilad author González Jiménez, Manuel Antonio author Pérez Casas, José María author Lozano Galant, José Antonio author Turmo Coderque, José author 2024-11 Structural Health Monitoring (SHM) is crucial for infrastructure safety and integrity. Arduino-based sensors are gaining popularity in low-cost SHM structures. Distributed fiber optic systems (DFOS), such as Distributed Acoustic Sensing (DAS), are employed for accurate SHM despite their high costs, computational demands, and energy consumption. The primary objectives of this work are to compare the accuracy of an accelerometer named LARA (Low-cost Adaptable Reliable Accelerometer (LARA)) that utilizes both Arduino and Raspberry Pi technologies with a DAS system in detecting structural damage and to explore the potential advantages of combining LARA and DAS to create an effective SHM tool. This study is the first to enhance the design of LARA. Subsequently, LARA and DAS were used in a laboratory setting to analyze eigenfrequency changes in a beam model with induced localized damage. Finally, this study evaluated the precision and reliability of LARA and its potential role as a trigger for DAS in detecting localized damage. The findings show that both LARA and DAS can identify changes in the eigenfrequencies of damaged structures with deviations as small as 3.68 %. Consequently, LARA demonstrated its potential as a trigger for DAS, significantly reducing the computational demands while enriching the analysis. This approach offers highly accurate eigenfrequency measurements and enhances the analytical capabilities of DAS by identifying the primary axes of the detected eigenfrequencies. The authors are indebted to the projects PID2021-126405OB-C31 and PID2021–126405OB-C32 funded by FEDER funds A way to make Europe and Spanish Ministry of Economy and Competitiveness MICIN/AEI/10.13039/501100011033/. Dr. Seyedmilad Komarizadehasl is indebted to a grant provided by the Polytechnic University of Catalonia to encourage research among new teaching staff with a reference of ALECTORS-2023. Peer Reviewed Postprint (author's final draft) Àrees temàtiques de la UPC::Enginyeria civil::Materials i estructures Structural health monitoring Low-cost safety control Distributed fiber optic sensors Eigenfrequency analysis Arduino Structural safety monitoring Low-cost sensors Monitorització de la salut estructural Eigenfrequency analysis using fiber optic sensors and low-cost accelerometers for structural damage detection