Technical Papers
Apr 10, 2024

Indirect Frequency Identification of Footbridges with Pedestrians Using the Contact-Point Response of Shared Scooters

Publication: Journal of Bridge Engineering
Volume 29, Issue 6

Abstract

As an essential element of a smart city, rapid health assessment of transportation infrastructure, including footbridges, is crucial. This study proposes a method for identifying the frequencies of a footbridge with pedestrians using the vibrations of a shared scooter. To simulate a rider and a scooter, a novel finite-element (FE) model with four degrees of freedom (DOFs) is proposed. One of the key challenges in identifying the frequency of footbridges is the impact of pedestrians, which can result in complex vehicle–footbridge–pedestrian interaction (VFPI) processes. The contact-point (CP) response is further deduced from the 4-DOF model’s accelerations to eliminate its self-frequencies. The influence of road roughness is weakened by employing the residual CP response of the two wheels, which highlights the frequencies of the footbridge. The results indicate that pedestrians can play a “positive” role in indirectly identifying the footbridge’s fundamental frequency even with poor road roughness classes (B and C in this study). The effects of the environmental noise, footbridge damping, and tire damping were examined.

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Data Availability Statement

All data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.

Acknowledgments

This research is financially sponsored by the Jane and Aatos Erkko Foundation in Finland (210018). Y. Lan is also financially supported by the Finnish Foundation for Technology Promotion (TES) and Chinese Scholarship Council (CSC).

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Go to Journal of Bridge Engineering
Journal of Bridge Engineering
Volume 29Issue 6June 2024

History

Received: Feb 26, 2023
Accepted: Jan 18, 2024
Published online: Apr 10, 2024
Published in print: Jun 1, 2024
Discussion open until: Sep 10, 2024

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Doctoral Researcher, Dept. of Civil Engineering, Aalto Univ., 02150 Espoo, Finland. ORCID: https://orcid.org/0000-0002-1444-6017. Email: [email protected]
Yifu Lan, S.M.ASCE [email protected]
Doctoral Researcher, Dept. of Civil Engineering, Aalto Univ., 02150 Espoo, Finland. Email: [email protected]
Associate Professor, Dept. of Civil Engineering, Aalto Univ., 02150 Espoo, Finland (corresponding author). ORCID: https://orcid.org/0000-0001-8486-6538. Email: [email protected]

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