KW51 Railway Bridge Monitoring Data Before, During, and After Retrofitting

Kristof Maes from KU Leuven provides a 15-month monitoring dataset from a steel bowstring railway bridge in Leuven, Belgium. The dataset includes acceleration, strain, displacement, temperature, and humidity measurements recorded for two train passages and six ambient vibration periods daily. It is well-suited for validating vibration-based structural health monitoring methods, as it captures data before, during, and after a retrofitting intervention to strengthen diagonal and arch connections.

Use Cases

• Validating damage detection algorithms based on changes in acceleration and strain data.
• Studying the evolution of modal characteristics over time during a structural intervention.
• Comparing structural response under ambient vibration versus train-induced loading.
• Analyzing the effects of environmental factors like temperature on structural behavior.

Strengths

• Captures data across three distinct structural states: before, during, and after retrofitting.
• Includes a diverse set of synchronized sensor measurements: acceleration, strain, displacement, temperature, and humidity.
• Provides a long-term, high-frequency temporal context with data from a 15-month campaign.

Limitations

• Key metadata such as row count, file size, and specific column names are unavailable.
• The exact date of the monitoring campaign and the last update of the dataset are unknown.
• Data completeness and documentation gaps may require significant preprocessing effort.

Provenance

Source

Kristof Maes, KU Leuven

Collection Method

Monitoring campaign on a steel bowstring railway bridge (KW51) in Leuven, Belgium.

Time Range

15 months

Geography

Leuven, Belgium