| name | wind-tunnel-correlation |
| description | Specialized skill for correlating CFD predictions with experimental wind tunnel data |
| allowed-tools | ["Read","Write","Glob","Grep","Edit","WebFetch","WebSearch","Bash"] |
| metadata | {"version":"1.0","category":"aerospace-engineering","tags":["aerodynamics","wind-tunnel","correlation","validation"]} |
| graph | {"domains":["domain:aerospace-engineering"],"specializations":["specialization:aerospace-engineering"],"skillAreas":["skill-area:physics-simulation","skill-area:statistical-analysis","skill-area:sensor-fusion"],"roles":["role:research-engineer","role:research-scientist"]} |
Wind Tunnel Data Correlation Skill
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