UHPC-Concrete Composite Tunnel Lining Designs Optimized for Seismic Performance

A 2026 dataset by Qianqian Xu presents results from a multi-objective optimization framework for tunnel lining structures. The data likely contains design parameters and performance metrics for 2,400 configurations of Ultra-High Performance Concrete (UHPC) and ordinary concrete composite linings. It was published on figshare under a CC-BY-4.0 license.

Use Cases

• Training surrogate models for structural response prediction based on the described PINN framework.
• Benchmarking optimization algorithms for civil engineering design based on the comparison with eight baseline methods.
• Analyzing trade-offs between cost, crack control, and seismic capacity in composite materials.
• Validating finite element simulations of tunnel linings under high stress and seismic loading.

Strengths

• Performance metrics for the surrogate model are reported with high R² values (0.987, 0.992, 0.984).
• The optimization framework achieved a 95.7% reduction in computational cost.
• Results are based on 2,400 evaluated design configurations.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset's 21.0 MB size suggests it is relatively small in scale.

Provenance

Source

figshare

Collection Method

Results generated via a hybrid Physics-Informed Neural Network (PINN) and Non-dominated Sorting Genetic Algorithm II (NSGA-II) framework.

Freshness

Last updated 2026-06-03 08:57:21; freshness should be verified.