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Synthetic Hyperelastic data for DDI

<p>Synthetic data used in the case study (section 3) of:</p><p>Marie Dalémat, Michel Coret, Adrien Leygue, Erwan Verron. Robustness of the Data-Driven Identification algorithm with incomplete input data. 2021. <a href="https://hal.science/hal-03028848v3">⟨hal-03028848v3⟩</a>&nbsp;</p><p>The data in XDMF + hdf5 format comprises:</p><p>1-the 2D computational mesh with triangular linear elements,</p><p>2-the nodal Forces for all loading steps (nodal quantity),</p><p>3-the displacement for all loading steps (nodal quantity),</p><p>4- Cauchy stress fields for all loading steps (cell quantity).&nbsp;</p><p>&nbsp;</p>

ShareScore

40/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
4
Access
20
Reuse readiness
8
Engagement
0