Free vibration measurements from the CityU footbridge and corresponding synthetic datasets support research into uncertainty laws for structural modal identification. Developed by Feng-Liang Zhang and updated in March 2026, the data facilitates the study of ambient-to-noise and free-to-ambient ratios in engineering contexts.
Use Cases
- Validating modal identification algorithms using the CityU footbridge vibration data
- Analyzing the impact of Ambient-to-noise ratios on uncertainty laws
- Testing asymptotic properties of structural identification using the provided synthetic datasets
Strengths
- Includes real-world structural data from the CityU footbridge
- Provides synthetic data for controlled algorithm validation
- Supports research on Ambient-to-noise and Free-to-ambient ratios
Limitations
- Unknown file formats and column structures
- Lack of documentation on sensor placement or sampling rates in the metadata
- Small scope focused on a single physical structure
Provenance
- Source
- Feng-Liang Zhang, Dataverse
- Collection Method
- ["sensor", "synthetic"]
- Freshness
- Last updated March 2026.
- Geography
- Hong Kong