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ZENODO
Dataset . 2023
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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Synthetic Hyperelastic data for DDI

Research datakeyboard_double_arrow_right Dataset 09 Nov 2023 English Publisher:Zenodo
Authors: Leygue, Adrien;

doi: 10.5281/zenodo.10090469 , 10.5281/zenodo.10090468

Synthetic Hyperelastic data for DDI

Abstract

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

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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Average