Offshore Wind Turbine Tower Damage Detection Using Strain Mode Data

Kexin Zhang published a 6.6 MB dataset on figshare in 2026 to support manuscript reproducibility. The data includes processed numerical simulation and experimental results for structural health monitoring of offshore wind turbine towers. It contains finite element modal frequency data, axial crack indicators, annular crack indicators, flange bolt fracture indicators, experimental frequency data, and experimental SSMR indicator data.

Use Cases

• Validate damage detection algorithms based on finite element modal frequency data.
• Compare numerical simulation results with experimental strain data for crack identification.
• Train machine learning models for structural damage classification using axial and annular crack indicator data.
• Benchmark the performance of the Square Strain Mode Relative (SSMR) change indicator method.
• Assess the sensitivity of different damage indicators (e.g., flange bolt fracture) to specific structural faults.

Strengths

• Data supports a specific manuscript, indicating a clear research context and purpose.
• Includes both numerical simulation and experimental validation data, allowing for cross-method comparison.
• Released under a CC-BY-4.0 license, permitting open sharing and modification.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for large-scale model training.
• The dataset is relatively small at 6.6 MB, which may constrain the complexity of analyses.

Provenance

Source

Kexin Zhang via figshare.

Collection Method

Processed numerical simulation and experimental data.

Freshness

Last updated 2026-06-03 05:19:46; freshness should be verified.