Structural Damage Identification of Bridges from Passing Test Vehicles

Area of Science:

• Structural Engineering
• Vibrational Analysis
• Bridge Health Monitoring

Background:

• Accurate structural damage identification is crucial for bridge maintenance and safety.
• Existing methods may require direct sensor installation on the bridge structure.
• Vehicle-based dynamic response offers a non-intrusive approach to bridge assessment.

Purpose of the Study:

• To present two novel methods for identifying bridge structural damage using data collected by a moving test vehicle.
• To determine the bridge's bending stiffness from the vehicle's dynamic response.
• To locate and quantify structural damage by comparing stiffness in damaged and undamaged states.

Main Methods:

• Utilizing acceleration and computed displacement data from a test vehicle traversing the bridge.
• Applying a frequency-domain method (improved directed stiffness method) with identified frequency and mode shape.
• Employing a time-domain method (least squares with fourth-order displacement moment) based on residual vectors.

Main Results:

• Both frequency-domain and time-domain methods successfully determined the bridge's bending stiffness.
• Comparison of stiffness values between undamaged and damaged states enabled damage localization and severity assessment.
• Numerical simulations and field tests validated the effectiveness and feasibility of the proposed approaches.

Conclusions:

• The developed vehicle-based methods provide an effective and feasible means for bridge structural damage identification.
• Regular monitoring using a test vehicle can facilitate timely detection of bridge degradation.
• The study demonstrates the potential of using mobile sensing platforms for infrastructure health monitoring.