Robot-based bridge indirect monitoring leveraging road data filtering for modal frequency estimation
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A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä
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en
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23
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STRUCTURE AND INFRASTRUCTURE ENGINEERING, Volume 21, issue 11-12, pp. 1898-1920
Abstract
Developments in indirect monitoring of bridges demonstrated practical solutions for network-level life-cycle bridge assessment and evaluation. Utilizing mobile robots is a new area for indirect monitoring, offering scalable approaches to data collection and assessment. This study investigates and experimentally validates a drive-by monitoring methodology using a four-wheeled robot equipped with a sensing system. The methodology employs a simple yet practical and effective approach to isolate the bridge vibration response from interfering factors (road roughness, vehicle dynamics, noise) by applying frequency-domain filtering using data collected from the adjacent roadway. Using the methodology, the study explores the effect of varying driving speeds, drive-stop scenarios, and the robot’s trajectory on different sides over the bridge to determine optimal conditions for precise bridge mode (frequency) identification. Nine experiments conducted on a real-world bridge under jumping excitation demonstrate the identification of up to six modes, with an average variation of 2% compared to reference monitoring data. Driving trajectories showed minimal impact on results, though runs on all sides suggest comprehensive identification. Robot’s dual-capability for real-time mode identification and visual analysis is a promising approach for local assessments in bridge networks, complementing large-scale monitoring by Connected Vehicles in a multi-tiered reliability framework.Description
Publisher Copyright: © 2025 Informa UK Limited, trading as Taylor & Francis Group.
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Luleci, F, Algadi, A, Li, Z & Catbas, F N 2025, 'Robot-based bridge indirect monitoring leveraging road data filtering for modal frequency estimation', STRUCTURE AND INFRASTRUCTURE ENGINEERING, vol. 21, no. 11-12, pp. 1898-1920. https://doi.org/10.1080/15732479.2025.2554720