Pile Foundation Design Optimization Results for Three Loading Scenarios

34, 29, and 28 non-dominated solutions form Pareto fronts for pile foundation designs under 500, 700, and 1000 kN loads. The dataset contains results from an automated system integrating a Multi-Objective Optical Microscope Algorithm with PLAXIS 2D FEM software, authored by Min-Yuan Cheng and uploaded in May 2026. It demonstrates cost savings of 78-85% compared to high-safety designs while maintaining safety factors 19-34% above regulatory requirements.

Use Cases

• Comparing safety-cost tradeoffs for pile foundations based on Pareto front analysis
• Evaluating automated design system performance based on three distinct loading scenarios
• Selecting optimal designs aligned with specific risk preferences based on indifference curve analysis
• Benchmarking cost savings against traditional high-safety design methods

Strengths

• Presents concrete optimization results with 34, 29, and 28 Pareto front solutions
• Quantifies significant cost savings (78-85%) and safety factor margins (19-34%)
• Validates the system across three distinct loading scenarios (500, 700, 1000 kN)
• Includes indifference curve analysis for five designer risk preference scenarios

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count is unknown, which may limit suitability assessment
• The dataset is very small (94.4 KB), indicating limited scope

Provenance

Source

figshare

Collection Method

Generated by an automated system coupling a Multi-Objective Optical Microscope Algorithm (MOOMA) with PLAXIS 2D FEM software via an API.

Freshness

Last updated 2026-05-21 20:21:02