Discovering plasticity models without stress data
We propose an approach for data-driven automated discovery of material laws, which we call EUCLID (Efficient Unsupervised Constitutive Law Identification and Discovery), and we apply it here to the discovery of plasticity models, including arbitrarily shaped yield surfaces and isotropic and/or kinem...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Research
2022
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| Subjects: | |
| Online Access: | View Fulltext in Publisher |