<p>Vibration-based bridge scour monitoring has attracted significant attention in recent years due to its adaptability to flood conditions and operational convenience. However, limited by the technical constraint that sensors cannot operate underwater, existing approaches mainly rely on sensors installed on the bridge superstructure for scour identification, resulting in insufficient monitoring data and reduced evaluation accuracy. Therefore, this study proposes a bridge scour identification method utilizing submerged pier vibration responses measured by an ocean bottom seismometer. A parameter sensitivity analysis indicates that scour depth is the dominant factor influencing pier modal frequencies, exhibiting a much stronger effect than other structural and environmental parameters. Field application to a representative bridge pier demonstrates that the OBS system can effectively capture the pier frequencies, and that the proposed assessment method yields scour depth estimates that are in close agreement with independent single-beam sonar measurements, with errors within 10%. Overall, the results show that the proposed method enables accurate and robust identification of bridge scour depth, providing a practical solution for bridge scour monitoring.</p>

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Bridge scour identification based on submerged pier vibration measurements: method development and field validation

  • Dabao Fu,
  • Yang Guo,
  • Chenyang Zhu,
  • Huiteng Cai,
  • Fang Li,
  • Zhechao Lu,
  • Xing Jin

摘要

Vibration-based bridge scour monitoring has attracted significant attention in recent years due to its adaptability to flood conditions and operational convenience. However, limited by the technical constraint that sensors cannot operate underwater, existing approaches mainly rely on sensors installed on the bridge superstructure for scour identification, resulting in insufficient monitoring data and reduced evaluation accuracy. Therefore, this study proposes a bridge scour identification method utilizing submerged pier vibration responses measured by an ocean bottom seismometer. A parameter sensitivity analysis indicates that scour depth is the dominant factor influencing pier modal frequencies, exhibiting a much stronger effect than other structural and environmental parameters. Field application to a representative bridge pier demonstrates that the OBS system can effectively capture the pier frequencies, and that the proposed assessment method yields scour depth estimates that are in close agreement with independent single-beam sonar measurements, with errors within 10%. Overall, the results show that the proposed method enables accurate and robust identification of bridge scour depth, providing a practical solution for bridge scour monitoring.