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Uncertainty quantification for Bayesian active learning in rupture life prediction of ferritic steels
Three probabilistic methodologies are developed for predicting the long-term creep rupture life of 9–12 wt%Cr ferritic-martensitic steels using their chemical and processing parameters. The framework developed in this research strives to simultaneously make efficient inference along with associated...
| 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/PMC8826314/ https://www.ncbi.nlm.nih.gov/pubmed/35136127 http://dx.doi.org/10.1038/s41598-022-06051-8 |