Machine learning assisted design of new lattice core for sandwich structures with superior load carrying capacity
Abstract Herein new lattice unit cells with buckling load 261–308% higher than the classical octet unit cell were reported. Lattice structures have been widely used in sandwich structures as lightweight core. While stretching dominated and bending dominated cells such as octahedron, tetrahedron and...
Guardado en:
Autores principales: | Adithya Challapalli, Guoqiang Li |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/97b1dee0cda7483388129d318b2344c5 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Discovery of Cellular Unit Cells With High Natural Frequency and Energy Absorption Capabilities by an Inverse Machine Learning Framework
por: Adithya Challapalli, et al.
Publicado: (2021) -
The Dynamic Impact Response of 3D-Printed Polymeric Sandwich Structures with Lattice Cores: Numerical and Experimental Investigation
por: Shu-Yu Jhou, et al.
Publicado: (2021) -
Effects of adhesive and loading directions on the load-carrying capacity of V-nails
por: Taghiyari,Hamid R, et al.
Publicado: (2017) -
Experimental and modeling investigations of the behaviors of syntactic foam sandwich panels with lattice webs under crushing loads
por: Chen Zhilin, et al.
Publicado: (2021) -
On the Magnitude of Load-Carrying Capacity of Textured Surfaces in Hydrodynamic Lubrication
por: Kazuyuki Yagi, et al.
Publicado: (2015)