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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Main Authors: | Kallannavar, Vinayak, Kattimani, Subhaschandra, Soudagar, Manzoore Elahi M., Mujtaba, M. A., Alshahrani, Saad, Imran, Muhammad |
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格式: | Article |
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Materials
2021
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在線閱讀: | http://eprints.um.edu.my/28400/ |
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