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Heteroscedastic sparse Gaussian process regression-based stochastic material model for plastic structural analysis
Describing the material flow stress and the associated uncertainty is essential for the plastic stochastic structural analysis. In this context, a data-driven approach-heteroscedastic sparse Gaussian process regression (HSGPR) with enhanced efficiency is introduced to model the material flow stress....
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8864002/ https://www.ncbi.nlm.nih.gov/pubmed/35194067 http://dx.doi.org/10.1038/s41598-022-06870-9 |