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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...

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主要な著者:	Kallannavar, Vinayak, Kattimani, Subhaschandra, Soudagar, Manzoore Elahi M., Mujtaba, M. A., Alshahrani, Saad, Imran, Muhammad
フォーマット:	論文
出版事項:	Materials 2021
主題:	TJ Mechanical engineering and machinery
オンライン･アクセス:	http://eprints.um.edu.my/28400/
タグ:	タグ追加タグなし, このレコードへの初めてのタグを付けませんか!

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