ReddRadar
Agent skill
wind-tunnel-correlation
Specialized skill for correlating CFD predictions with experimental wind tunnel data
Install this agent skill to your Project
npx add-skill https://github.com/a5c-ai/babysitter/tree/main/library/specializations/domains/science/aerospace-engineering/skills/wind-tunnel-correlation
Metadata
Additional technical details for this skill
- tags
-
aerodynamics wind-tunnel correlation validation
- version
- 1.0
- category
- aerospace-engineering
SKILL.md
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
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