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