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Geometry → Stress/Strain FEA Dataset
Side-by-side PNG images: left half = geometry input, right half = FEA stress/strain field. The original data can be accessed from Supplementary Material of the mentioned work given below
Z. Yang, C.-H. Yu, and M. J. Buehler, “Deep learning model to predict complex stress and strain fields in hierarchical composites,” Science Advances, vol. 7, no. 15, eabd7416, 2021.
Subdatasets
| Name | Train | Test | Description |
|---|---|---|---|
| BC_scale | 3200 | 800 | Boundary-condition scaled geometries |
| HEXAGON | 1600 | 400 | Hexagonal lattice geometries |
| MISES | 1600 | 400 | Von Mises stress field |
| PE11_0.2 | 1600 | 400 | Plastic strain PE11 |
| PE12 | 1600 | 400 | Plastic strain PE12 |
| S11 | 1600 | 400 | Normal stress S11 |
| S12 | 1600 | 400 | Shear stress S12 |
| STITCH_GEO_MISES | 1600 | 400 | Stitched geometry-MISES pairs |
| TRIANGLE | 1600 | 400 | Triangular geometry |
| FIELD2GEO | 1600 | 400 | Field-to-geometry mapping |
Total: 17,600 train · 4,400 test · 47,001 images · ~8.5 GB
Image format
Each PNG is 1024 × 512 px:
- Left 512×512 — geometry/mesh (model input)
- Right 512×512 — stress/strain colormap (model target)
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