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Data and code associated with: Multiple void hyperelastic dataset under tensile loading

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Johns Hopkins Research Data Repository2026-03-19 更新2026-04-18 收录
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This dataset comprises 23,000 numerical simulations (20000 Training, 3000 Test) of a 2D hyperelastic material subjected to tensile loading conditions. The material domain features multiple voids of shapes ranging from triangles to heptagons. The numerical model explicitly captures the material's non-linear behavior, with post-processed results providing Von Mises stress maps. By documenting a diverse range of load combinations, void types, positions, and orientations, this dataset serves as a valuable resource for advancing data-driven research in the field of computational mechanics.

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2026-03-19
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