zenodoopen
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> </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). </p><p> </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