AeroForge — Starship Aero & Aerothermal Toolkit

Overview

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AeroForge — Delivery Package

Engineering-level aerodynamics & aerothermodynamics prediction toolkit for a two-stage Starship-class vehicle, subsonic → hypersonic. Dependency-free (Python standard library only), validated against published authoritative references.

Contents

  • user-guide.md — how an aero engineer uses the toolkit day-to-day.
  • run-deploy-instructions.md — how to run locally and on a Linux/Unix CFD host.
  • verification-report.md — the 59 validation checks and what each asserts.
  • certification-report.md — honest certification + disclosed seams.
  • release-notes.md — v1.0.0 summary.
  • evidence/ — machine-readable results (aerodb_ship.json, trajectory.json,

postflight_reconciliation.json, workflow-summary.md) and figures under evidence/screenshots/.

Headline results (reproducible)

ResultValueSource
Validation checks passing59 / 59verify.pyverification-report.json
Max relative error vs NACA 11353.5e-5 (37 reference points)verification-report.json#/officialBenchmark
Watertight closure residual~0 vs 204 m² wetted areaevidence/workflow-summary.md
Representative entry max-q148.9 kPa at M≈15evidence/trajectory.json
Peak stagnation heat flux208.2 W/cm²evidence/trajectory.json
Integrated heat load4.13 kJ/cm²evidence/trajectory.json
Pre/post-flight reconciliationR² = 0.998, 6/7 within 10% bandevidence/postflight_reconciliation.json
All "post-flight" data is synthetic/representative (DISCLOSED_SEAM). This is a
lower-order engineering tool that brackets and feeds high-fidelity CFD; it does
not run a Navier-Stokes solver. See certification-report.md.

How to reproduce

py verify.py                                   # 59/59 checks + benchmark
py scripts/run_workflow.py --vehicle ship      # regenerate all evidence + figures