A data-driven reduced-order surrogate model for entire elastoplastic simulations applied to representative volume elements

This contribution discusses surrogate models that emulate the solution field(s) in the entire simulation domain. The surrogate uses the most characteristic modes of the solution field(s), in combination with neural networks to emulate the coefficients of each mode. This type of surrogate is well kno...

Descripción completa

Detalles Bibliográficos
Autores principales: Vijayaraghavan, S., Wu, L., Noels, L., Bordas, S. P. A., Natarajan, S., Beex, L. A. A.
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/PMC10406896/
https://www.ncbi.nlm.nih.gov/pubmed/37550337
http://dx.doi.org/10.1038/s41598-023-38104-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10406896/
https://www.ncbi.nlm.nih.gov/pubmed/37550337
http://dx.doi.org/10.1038/s41598-023-38104-x

Ejemplares similares