ArticleSensors (Basel, Switzerland)2022
Operational and Analytical Modal Analysis of a Bridge Using Low-Cost Wireless Arduino-Based Accelerometers.
Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 41 citations in OpenAlex.
- Design, Development, and Laboratory Validation of a Low-Cost Multi-Sensor System for Bridge Structural Health Monitoring with Scour-Related Environmental Sensing.Sensors (Basel, Switzerland) · 2026Article
- Comparative Performance Assessment of Fiber Bragg Grating Sensors and PCB Accelerometers for Field-Based Dynamic Characterization of Stay Cables.Sensors (Basel, Switzerland) · 2026Article
- The KUYUY Accelerograph and SIPA System: Towards Low-Cost, Real-Time Intelligent Seismic Monitoring in Peru.Sensors (Basel, Switzerland) · 2025Article
- Bridge Model Updating Based on Wavelet Neural Network and Wind-Driven Optimization.Sensors (Basel, Switzerland) · 2023Article
- Towards the Structural Health Monitoring of Bridges Using Wireless Sensor Networks: A Systematic Study.Sensors (Basel, Switzerland) · 2023Review
- Low-Cost Sensors Technologies for Monitoring Sustainability and Safety Issues in Mining Activities: Advances, Gaps, and Future Directions in the Digitalization for Smart Mining.Sensors (Basel, Switzerland) · 2023Review
- A Data-Driven System Identification Method for Random Eigenvalue Problem Using Synchrosqueezed Energy and Phase Portrait Analysis.Sensors (Basel, Switzerland) · 2023Article
- Low-Cost Technologies Used in Corrosion Monitoring.Sensors (Basel, Switzerland) · 2023Review
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
Arduino-based accelerometers are receiving wide attention from researchers to make long-term Structural Health Monitoring (SHM) feasible for structures with a low SHM budget. The current low-cost solutions found in the literature share some of the following drawbacks: (1) high noise density, (2) lack of wireless synchronization, (3) lack of automatic data acquisition and data management, and (4) lack of dedicated field tests aiming to compare mode shapes from Operational Modal Analysis (OMA) with those of a digital model. To solve these problems, a recently built short-span footbridge in Barcelona is instrumented using four Low-cost Adaptable Reliable Accelerometers (LARA). In this study, the automatization of the data acquisition and management of these low-cost solutions is studied for the first time in the literature. In addition, a digital model of the bridge under study is generated in SAP2000 using the available drawings and reported characteristics of its materials. The OMA of the bridge is calculated using Frequency Domain Decomposition (FDD) and Covariance Stochastic Subspace Identification (SSI-cov) methods. Using the Modal Assurance Criterion (MAC), the mode shapes of OMA are compared with those of the digital model. Finally, the acquired eigenfrequencies of the bridge obtained with a high-precision commercial sensor (HI-INC) showed a good agreement with those obtained with LARA.
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Registered trials
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