Materials fatigue prediction using graph neural networks on microstructure representations

The local prediction of fatigue damage within polycrystals in a high-cycle fatigue setting is a long-lasting and challenging task. It requires identifying grains tending to accumulate plastic deformation under cyclic loading. We address this task by transcribing ferritic steel microtexture and damag...

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Detalles Bibliográficos
Autores principales: Thomas, Akhil, Durmaz, Ali Riza, Alam, Mehwish, Gumbsch, Peter, Sack, Harald, Eberl, Chris
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10397301/
https://www.ncbi.nlm.nih.gov/pubmed/37532871
http://dx.doi.org/10.1038/s41598-023-39400-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10397301/
https://www.ncbi.nlm.nih.gov/pubmed/37532871
http://dx.doi.org/10.1038/s41598-023-39400-2

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