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Bridges, Generative Design and Traditional — image 1
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Bridges, Generative Design and Traditional

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A series of 3D-printed bridges that are comparing the differnt supports, with taditional and generative design supports.

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Model information

Category
Engineering
License
Creative Commons — Attribution — Noncommercial — NoDerivatives

These 3D-printed bridge models were created for a high school Science and Engineering Fair project investigating how AI-driven generative design supports compare to traditional structural supports in different bridge types. The models were designed in Fusion 360, printed in PETG, and tested using a controlled two-point hanging load test.

A total of ten bridge designs were modeled, including both traditional and generative-design versions. However, only six bridges were physically tested due to time and material constraints. The tested bridge types were:

  • Beam Bridge (Traditional and Generative Design)

  • Warren Truss Bridge (Traditional and Generative Design)

  • True Arch Bridge (Traditional and Generative Design)

Each tested model was incrementally loaded using measured weights to observe deflection, cracking, and failure behavior. The goal was not to perfectly replicate real-world bridges, but to compare how different support strategies distribute forces and resist deformation under the same conditions.

The generative-design supports were created using AI-based optimization tools that remove unnecessary material while maintaining strength, often resulting in organic, non-traditional shapes. These were directly compared against conventional, straight-member designs commonly used in bridge engineering.

These models are intended for educational and demonstration purposes, showcasing how artificial intelligence may influence the future of structural engineering. They are ideal for classroom display, science fairs, or anyone interested in bridge design, generative engineering, or applied physics.

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