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wind-tunnel-correlation

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Specialized skill for correlating CFD predictions with experimental wind tunnel data

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How to use this skill

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Source SKILL.md: https://github.com/a5c-ai/babysitter/blob/HEAD/library/specializations/domains/science/aerospace-engineering/skills/wind-tunnel-correlation/SKILL.md

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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

Dependencies

  • MATLAB
  • Python scipy/numpy
  • Test data formats (DAT, CSV, HDF5)

Process Integration

  • AE-002: Wind Tunnel Test Correlation
  • AE-003: Aerodynamic Database Generation