A Kriging Surrogate Model for Uncertainty Analysis of Graphene Based on a Finite Element Method

Due to the inevitable presence of random defects, unpredictable grain boundaries in macroscopic samples, stress concentration at clamping points, and unknown load distribution in the investigation of graphene sheets, uncertainties are crucial and challenging issues that require more exploration. The...

Descripción completa

Detalles Bibliográficos
Autores principales: Shi, Jiajia, Chu, Liu, Braun, Robin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6540126/
https://www.ncbi.nlm.nih.gov/pubmed/31085983
http://dx.doi.org/10.3390/ijms20092355

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6540126/
https://www.ncbi.nlm.nih.gov/pubmed/31085983
http://dx.doi.org/10.3390/ijms20092355

Ejemplares similares