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Operational and Analytical Modal Analysis of a Bridge Using Low-Cost Wireless Arduino-Based Accelerometers.

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Summary
This summary is machine-generated.

This study introduces automated data acquisition for low-cost accelerometers (LARA) for structural health monitoring (SHM). Field tests validated LARA

Keywords:
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Area of Science:

  • Structural Engineering
  • Vibration Analysis
  • Sensor Technology

Background:

  • Low-cost accelerometers are crucial for affordable long-term structural health monitoring (SHM).
  • Existing low-cost solutions suffer from high noise, lack of wireless synchronization, and limited data management.
  • There's a need for dedicated field tests comparing Operational Modal Analysis (OMA) results with digital models.

Purpose of the Study:

  • To automate data acquisition and management for low-cost accelerometers (LARA) in SHM.
  • To validate the performance of LARA sensors through field testing on a footbridge.
  • To compare experimental modal analysis results with a finite element model.

Main Methods:

  • Instrumentation of a footbridge with four Low-cost Adaptable Reliable Accelerometers (LARA).
  • Development and implementation of automated data acquisition and management systems.
  • Generation of a digital bridge model in SAP2000 and application of Operational Modal Analysis (OMA) using Frequency Domain Decomposition (FDD) and Covariance Stochastic Subspace Identification (SSI-cov) methods.

Main Results:

  • Successful automation of data acquisition and management for low-cost sensors.
  • Comparison of mode shapes from OMA and the digital model using Modal Assurance Criterion (MAC).
  • Good agreement between eigenfrequencies obtained from LARA sensors and a high-precision commercial sensor (HI-INC).

Conclusions:

  • Automated data acquisition and management significantly enhance the feasibility of low-cost SHM.
  • LARA sensors provide reliable data for structural health monitoring, comparable to high-precision systems.
  • The study validates the use of low-cost sensors for comparing experimental and numerical modal analysis.