Methodology for Neural Network-Based Material Card Calibration Using LS-DYNA MAT_187_SAMP-1 Considering Failure with GISSMO

A neural network (NN)-based method is presented in this paper which allows the identification of parameters for material cards used in Finite Element simulations. Contrary to the conventionally used computationally intensive material parameter identification (MPI) by numerical optimization with inte...

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Detalles Bibliográficos
Autores principales: Meißner, Paul, Winter, Jens, Vietor, Thomas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8778971/
https://www.ncbi.nlm.nih.gov/pubmed/35057362
http://dx.doi.org/10.3390/ma15020643

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8778971/
https://www.ncbi.nlm.nih.gov/pubmed/35057362
http://dx.doi.org/10.3390/ma15020643

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