Seismic Damage Assessment Data for Tunnel Lining Structures

Numerical simulation data supports a manuscript on data-driven seismic damage assessment of tunnel lining structures. The dataset is 239.4 MB and was authored by Chenyang Xiang. It was last updated on May 8, 2026.

Use Cases

• Training deep learning models for damage classification based on multi-sensor response fusion.
• Reproducing numerical simulation analyses of tunnel lining seismic performance.
• Benchmarking novel damage assessment frameworks against reported results.
• Validating sensor fusion techniques for structural health monitoring.

Strengths

• Dataset is 239.4 MB, indicating a substantial volume of simulation data.
• Data is provided to support reproducibility of a peer-reviewed manuscript submission.
• It is licensed under CC-BY-4.0, allowing for 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.
• The description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

Chenyang Xiang

Collection Method

Numerical simulation analysis

Freshness

Last updated 2026-05-08 11:52:44; freshness should be verified.