Transfer learning for modeling pressure coefficient around cylinder using CNN

IMECH-IR > 流固耦合系统力学重点实验室

	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)
会议录名称	Proceedings of the International Offshore and Polar Engineering Conference
	2019
页码	966-969
会议名称	29th International Ocean and Polar Engineering Conference, ISOPE 2019
会议日期	June 16, 2019 - June 21, 2019
会议地点	Honolulu, HI, United states
摘要	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).
关键词	Convolutional neural networks Flow field analysis Pressure prediction Transfer learning
ISBN号	9781880653852
收录类别	EI
语种	英语
文献类型	会议论文
条目标识符	http://dspace.imech.ac.cn/handle/311007/85104
专题	流固耦合系统力学重点实验室
作者单位	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
推荐引用方式 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.