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Structural Monitoring and Maintenance
  Volume 9, Number 4, December 2022 , pages 305-321

Identification of bridge bending frequencies through drive-by monitoring compensating vehicle pitch detrimental effect
Lorenzo Benedetti, Lorenzo Bernardini, Antonio Argentino, Gabriele Cazzulani, Claudio Somaschini and Marco Belloli

    Bridge structural health monitoring with the aim of continuously assessing structural safety and reliability represents a topic of major importance for worldwide infrastructure managers. In the last two decades, due to their potential economic and operational advantages, drive-by approaches experienced growing consideration from researcher and engineers. This work addresses two technical topics regarding indirect frequency estimation methods: bridge and vehicle dynamics overlapping, and bridge expansion joints impact. The experimental campaign was conducted on a mixed multi-span bridge located in Lombardy using a Ford Galaxy instrumented with a mesh of wireless accelerometers. The onboard time series were acquired for a number of 10 passages over the bridge, performed at a travelling speed of 30 km/h, with no limitations imposed to traffic. Exploiting an ad-hoc sensors positioning, pitch vehicle motion was compensated, allowing to estimate the first two bridge bending frequencies from PSD functions; moreover, the herein adopted approach proved to be insensitive to joints disturbance. Conclusively, a sensitivity study has been conducted to trace the relationship between estimation accuracy and number of trips considered in the analysis. Promising results were found, pointing out a clear positive correlation especially for the first bending frequency.
Key Words
    bridges; drive-by monitoring; expansion joint; indirect frequency estimation; structural health monitoring; vehicle pitch compensation
Lorenzo Benedetti, Lorenzo Bernardini, Antonio Argentino,
Gabriele Cazzulani, Claudio Somaschini and Marco Belloli: Department of Mechanical Engineering, Politecnico di Milano, Via G. La Masa 1, Milano, 20156, Italy

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