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Babysitter wind-tunnel-correlation

Specialized skill for correlating CFD predictions with experimental wind tunnel data

install
source · Clone the upstream repo
git clone https://github.com/a5c-ai/babysitter
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/a5c-ai/babysitter "$T" && mkdir -p ~/.claude/skills && cp -r "$T/library/specializations/domains/science/aerospace-engineering/skills/wind-tunnel-correlation" ~/.claude/skills/a5c-ai-babysitter-wind-tunnel-correlation && rm -rf "$T"
manifest: library/specializations/domains/science/aerospace-engineering/skills/wind-tunnel-correlation/SKILL.md
tags
#aerodynamics#wind-tunnel#correlation#validation#data-analysis#aerospace
source content

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