Automated Identification, Warning, and Visualization of Vortex-Induced Vibration

Area of Science:

• Civil Engineering
• Structural Health Monitoring
• Vibration Analysis

Background:

• Vortex-induced vibration (VIV) poses a risk to bridge operational safety.
• Current VIV identification methods lack visualization, hindering quick confirmation by bridge managers.
• Real-time identification and warning systems are crucial for bridges.

Purpose of the Study:

• To develop an automatic method for VIV identification, warning, and visualization.
• To address the limitations of existing VIV identification techniques.
• To provide bridge governors with a tool for rapid VIV result confirmation.

Main Methods:

• Signal analysis using recurrence plots to extract time-domain vibration characteristics.
• Introduction of a 'recurrence cycle smoothness' index to quantify vibration stability.
• Development of an automatic VIV identification and multi-level warning process based on vibration amplitude severity.

Main Results:

• The proposed method successfully identified VIV automatically without manual intervention on a suspension bridge.
• Visualization of identification results using graphs aids in quick confirmation.
• The multi-level warning system effectively alerted to serious VIV and provided early warnings for large amplitude VIV.

Conclusions:

• The developed method offers an accurate and automated solution for VIV detection and warning in bridges.
• The visualization component significantly improves the usability of VIV identification results.
• This approach enhances bridge safety by providing timely and clear information on VIV events.