SMART Geogrid: Stabilizing-Sensing Synergistic Geogrid for High-Speed Railways

SMART geogrid integrates Fiber Bragg Grating sensors within soil-stabilizing geogrids for real-time monitoring of high-speed railway substructures. Pull-out and compression tests validate its monitoring capabilities for soil shear resistance and compressive strain, and a full-scale test endured 2 million loading cycles. The dataset, created by Haoran Fu and last updated in May 2026, includes results from theoretical, numerical, and experimental studies.

Use Cases

• Train machine learning models for foreign object intrusion detection based on the described system achieving 100% classification accuracy.
• Analyze soil-structure interaction based on pull-out and compression test data mentioned in the description.
• Validate numerical models of geogrid performance based on the extensive theoretical and experimental studies conducted.
• Assess the long-term reliability of smart infrastructure materials based on the full life cycle monitoring validated over 2 million loading cycles.

Strengths

• Validated in full-scale railway tests enduring 2 million cycles of loading.
• The described Foreign Object Intrusion Detection System achieved a position prediction R² of 0.9999 and 100% classification accuracy.
• Dataset is 577.7 MB in size, suggesting substantial experimental data.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

Haoran Fu via figshare

Collection Method

Results from theoretical, numerical, and experimental studies, including pull-out, compression, and full-scale railway tests.

Freshness

Last updated 2026-05-12 02:15:05; freshness should be verified.