Neural network-based prediction model to investigate the influence of temperature and moisture on vibration characteristics of skew laminated composite sandwich plates

• Main Authors: Kallannavar, Vinayak, Kattimani, Subhaschandra, Soudagar, Manzoore Elahi M., Mujtaba, M. A., Alshahrani, Saad, Imran, Muhammad
• 格式: Article
• 出版: Materials 2021
• 主题: TJ Mechanical engineering and machinery
• 在线阅读: http://eprints.um.edu.my/28400/

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...