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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...
Autores principales: | Kallannavar, Vinayak, Kattimani, Subhaschandra, Soudagar, Manzoore Elahi M., Mujtaba, M. A., Alshahrani, Saad, Imran, Muhammad |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
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 |
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