wind-tunnel-correlation

# 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