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README.md
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We used **Monte Carlo random sampling** of beam parameters within realistic ranges, then recomputed support reactions and optimizer scores. This approach ensures every augmented sample obeys statics, while covering a wider design space than the 30 original cases.
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## License
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MIT — released for educational use.
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We used **Monte Carlo random sampling** of beam parameters within realistic ranges, then recomputed support reactions and optimizer scores. This approach ensures every augmented sample obeys statics, while covering a wider design space than the 30 original cases.
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## License
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MIT — released for educational use.
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## AI Tool Disclosure
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ChatGPT (OpenAI, GPT-5) was used for:
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- Code support
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- Documentation writing
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All diagrams, dataset generation, and labeling logic were created and validated by the author.
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