| Transfer learning for modeling pressure coefficient around cylinder using CNN | |
Ye SR(叶舒然); Wang YW(王一伟) ; Zhang Z(张珍); Huang CG(黄晨光)
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| Source Publication | Proceedings of the International Offshore and Polar Engineering Conference |
| 2019 | |
| Pages | 966-969 |
| Conference Name | 29th International Ocean and Polar Engineering Conference, ISOPE 2019 |
| Conference Date | June 16, 2019 - June 21, 2019 |
| Conference Place | Honolulu, HI, United states |
| Abstract | A data-driven method is developed in this article to predict the pressure coefficients from the velocity distribution in the wake flow. The convolutional layer processes velocity information in local region to output flow feature, which are gathered by the fully connected layer to obtain the pressure coefficients. When meeting different around body flow situation, a transfer learning method is adopted. Results show that this transfer learning method achieves nearly the same accuracy as the traditional one but with significantly lower time cost. The learning results have also demonstrated the active prospects of convolutional neural network in fluid mechanics. © 2019 by the International Society of Offshore and Polar Engineers (ISOPE). |
| Keyword | Convolutional neural networks Flow field analysis Pressure prediction Transfer learning |
| ISBN | 9781880653852 |
| Indexed By | EI |
| Language | 英语 |
| Document Type | 会议论文 |
| Identifier | http://dspace.imech.ac.cn/handle/311007/85104 |
| Collection | 流固耦合系统力学重点实验室 |
| Affiliation | 1.Key Laboratory for Mechanics in Fluid Solid Coupling System, Institute of Mechanics, Chinese Academy of Sciences, Beijing, China 2.School of Engineering Science, University of Chinese Academy of Sciences, Beijing, China |
| Recommended Citation GB/T 7714 | Ye SR,Wang YW,Zhang Z,et al. Transfer learning for modeling pressure coefficient around cylinder using CNN[C]Proceedings of the International Offshore and Polar Engineering Conference,2019:966-969. |
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