Bridge Structural Health Monitoring Dataset: Train-Induced Vibration Data Under Multiple Damage Scenarios 核心 · 已核验

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Simulated acceleration time-series dataset from a railway bridge structure under train loading with varying operational and environmental conditions. Contains vibration measurements from 18 sensor nodes (3-axis accelerometers) sampled at 256 Hz.

Files:

healthy.parquet: Intact structure baseline (Class 0);

slightly_damaged.parquet: Baseline variations from environmental/operational factors with damage < 0.01 (Class 0);

damaged_d1.parquet to damaged_d5.parquet: Five distinct damage types (Class 1).

Columns:

ExperimentID: Unique simulation run identifier;

Velocidade: Train speed (km/h) - Environmental Operating Variable (EOV);

Peso_Vagao: Wagon mass percentage - EOV;

Modulo_Elasticidade: Young's modulus percentage - EOV;

Irregularidade: Track profile ID - EOV;

Dano_Percentual: Damage severity (0.01 to 1.0) - damaged files only;

NodeID: Sensor identifier (18 nodes);

Time: Timestamp (sampling rate: 256 Hz);

Accel_X, Accel_Y, Accel_Z: Tri-axial acceleration.

Suitable for damage detection research, anomaly detection algorithms, and structural health monitoring under environmental/operational variability.

Format: Apache ParquetSource: Converted from MATLAB/HDF5 simulation data

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落地页

https://doi.org/10.5281/zenodo.19582891

许可证

CC-BY-4.0 (置信:verified_official)

发布年份

2026

发布方

Zenodo

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