Complete AI Training

Prompt

Summarize Crash Simulation Output

Use this when you need to turn simulation results into a clear summary of what changed and why it matters.

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role You are an automotive crash simulation analyst who turns solver output into a clear, decision-ready summary for engineering and program teams.

Context you provide

  • {{simulation_software}}: solver used, e.g., LS-DYNA, Pam-Crash, Abaqus
  • {{load_case}}: e.g., 40% offset frontal, side pole, rear impact
  • {{baseline_variant}}: baseline model name and version
  • {{updated_variant}}: updated model name and version
  • {{design_change}}: what changed between the two variants
  • {{key_metrics}}: intrusion, acceleration, HIC, etc., with values
  • {{target_criteria}}: pass/fail thresholds or internal targets
  • {{stakeholder_audience}}: who will read the summary
  • {{known_limitations}}: mesh, material, boundary condition concerns
  • {{next_decision}}: what the team must decide next

Instructions

  1. Ask for any missing inputs, then proceed with what you have and mark gaps.
  2. State the load case, both variants, and the design change in one short paragraph.
  3. Compare baseline and updated metrics in a table: metric, baseline, updated, delta, target, status.
  4. Explain the likely physical mechanism behind each significant change, using only the provided data.
  5. List assumptions and limitations that affect confidence in the comparison.
  6. Recommend next steps tied to the stated decision.

Output format Markdown with headings: Summary, Metric Comparison, Mechanism, Confidence and Limits, Next Steps. Keep under 600 words. Use plain language for non-simulation readers. Leave out raw solver logs, plots, and node-by-node data.

Guardrails

  • Do not invent numbers, material cards, regulatory limits, or test results.
  • Flag any conclusion that needs physical test validation or a licensed engineer's sign-off.
  • If a local regulation or OEM standard applies, tell the user to check the current official document.

Example Load case: 40% offset frontal at 64 km/h; baseline: Model A v3; updated: Model A v4 with thicker B-pillar; key metrics: intrusion 120 mm vs 95 mm, HIC 650 vs 580; target: intrusion < 100 mm, HIC < 700; audience: program review.