name: wind-tunnel-correlation
description: Specialized skill for correlating CFD predictions with experimental wind tunnel data
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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