Wind Tunnel Data Correlation Skill
SkillDev toolsSpecialized skill for correlating CFD predictions with experimental wind tunnel data
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; ahel provides instructions and does not run this skill.
Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
Then ask your AI: use the Wind Tunnel Data Correlation Skill skill
What this skill tells your AI
The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/domains/science/aerospace-engineering/skills/wind-tunnel-correlation/SKILL.md and read by ahel’s review.
Purpose
Enable accurate correlation between CFD predictions and experimental wind tunnel data through systematic data processing, correction methods, and statistical analysis.
Capabilities
- Data normalization and scaling procedures
- Reynolds number and Mach number corrections
- Wall interference and blockage corrections
- Uncertainty quantification methods
- Model calibration techniques
- Statistical analysis and regression
- Data quality assessment
- Correlation report generation
Usage Guidelines
- Apply appropriate wind tunnel corrections based on test section geometry
- Account for support interference effects in force measurements
- Use proper Reynolds number scaling when comparing to flight conditions
- Document uncertainty sources and propagation methods
- Validate correlation quality using statistical metrics
- Generate comprehensive correlation reports for design reviews
Dependencies
- MATLAB
- Python scipy/numpy
- Test data formats (DAT, CSV, HDF5)
Process Integration
- AE-002: Wind Tunnel Test Correlation
- AE-003: Aerodynamic Database Generation
Signals
- GitHub stars
- 2k
- Forks
- 112
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
wind-tunnel-correlation- Source
- github.com/a5c-ai/babysitter