Neural Network-Based Prediction Model to Investigate the Influence of Temperature and Moisture on Vibration Characteristics of Skew Laminated Composite Sandwich Plates

The present study deals with the development of a prediction model to investigate the impact of temperature and moisture on the vibration response of a skew laminated composite sandwich (LCS) plate using the artificial neural network (ANN) technique. Firstly, a finite element model is generated to i...

Descripción completa

Detalles Bibliográficos
Autores principales: Kallannavar, Vinayak, Kattimani, Subhaschandra, Soudagar, Manzoore Elahi M., Mujtaba, M. A., Alshahrani, Saad, Imran, Muhammad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8227106/
https://www.ncbi.nlm.nih.gov/pubmed/34207585
http://dx.doi.org/10.3390/ma14123170

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8227106/
https://www.ncbi.nlm.nih.gov/pubmed/34207585
http://dx.doi.org/10.3390/ma14123170

Ejemplares similares