Enhanced Cellular Materials through Multiscale, Variable-Section Inner Designs: Mechanical Attributes and Neural Network Modeling

In the current work, the mechanical response of multiscale cellular materials with hollow variable-section inner elements is analyzed, combining experimental, numerical and machine learning techniques. At first, the effect of multiscale designs on the macroscale material attributes is quantified as...

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Detalles Bibliográficos
Autores principales: Karathanasopoulos, Nikolaos, Rodopoulos, Dimitrios C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9147841/
https://www.ncbi.nlm.nih.gov/pubmed/35629611
http://dx.doi.org/10.3390/ma15103581

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9147841/
https://www.ncbi.nlm.nih.gov/pubmed/35629611
http://dx.doi.org/10.3390/ma15103581

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