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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
