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