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Earthquakes and Structures Volume 24, Number 2, February 2023 , pages 111-126 DOI: https://doi.org/10.12989/eas.2023.24.2.111 |
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Artificial intelligence as an aid to predict the motion problem in sport |
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Yongyong Wang, Qixia Jia, Tingting Deng, and H. Elhosiny Ali
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| Abstract | ||
| Highly reliable and versatile methods artificial intelligence (AI) have found multiple application in the different fields of science, engineering and health care system. In the present study, we aim to utilize AI method to investigated vibrations in the human leg bone. In this regard, the bone geometry is simplified as a thick cylindrical shell structure. The deep neural network (DNN) is selected for prediction of natural frequency and critical buckling load of the bone cylindrical model. Training of the network is conducted with results of the numerical solution of the governing equations of the bone structure. A suitable optimization algorithm is selected for minimizing the loss function of the DNN. Generalized differential quadrature method (GDQM), and Hamilton's principle are used for solving and obtaining the governing equations of the system. As well as this, in the results section, with the aid of AI some predictions for improving the behaviors of the various sport systems will be given in detail. | ||
| Key Words | ||
| artificial intelligence; GDQM; Hamilton's principle; machine learning; sport systems | ||
| Address | ||
| Yongyong Wang and Qixia Jia: Ministry of Sports, Chongqing Jiaotong University, Chongqing 400074, Chongqing, China Tingting Deng: Second Foreign Language School of Sichuan Foreign Studies University, Chongqing 400074, Chongqing, China H. Elhosiny Ali: 1) Research Center for Advanced Materials Science (RCAMS), King Khalid University, P.O. Box 9004, Abha 61413, Saudi Arabia, 2) Department of Physics, Faculty of Science, King Khalid University, P.O. Box 9004, Abha 61413, Saudi Arabia, 3) Physics Department, Faculty of Science, Zagazig University, Zagazig 44519, Egypt | ||