Estimating forces from cross-sectional data in the wake of flows past a plate using theoretical and data-driven models | |
Tong, Wenwen4; Wang SZ(王士召)2,3; Yang, Yue1,4 | |
刊名 | PHYSICS OF FLUIDS |
2022-11-01 | |
卷号 | 34期号:11页码:19 |
ISSN号 | 1070-6631 |
DOI | 10.1063/5.0125374 |
通讯作者 | Yang, Yue() |
英文摘要 | We report a comparative study of theoretical and data-driven models for estimating forces from velocity data in the wake of three-dimensional flows past a plate. The datasets with a range of angles of attack are calculated using the immersed boundary method. First, we develop a theoretical model to estimate forces on a flat plate from cross-sectional velocity data in the far wake. This algebraic model incorporates the local momentum deficit and pressure variation. Second, we develop several data-driven models based on the convolutional neural network (CNN) for force estimation by regarding the velocity field on a series of cross sections as images. In particular, we design three CNN architectures for integrating physical information or attention mechanism, and use different training datasets for interpolation and extrapolation tasks. The model performances indicate that the optimized CNN can identify important flow regions and learn empirical physical laws. The theoretical and CNN models are assessed by multiple criteria. In general, both models are accurate (with errors less than 10%), robust, and applicable to complex wake flows. The theoretical model is superior to the CNN model in terms of the completeness, cost, and interpretability, and the CNN model with the appropriate training data and optimized CNN architecture has better description and accuracy. Published under an exclusive license by AIP Publishing. |
分类号 | 一类/力学重要期刊 |
资助项目 | National Natural Science Foundation of China[91952108] ; National Natural Science Foundation of China[11925201] ; National Natural Science Foundation of China[11988102] ; National Numerical Wind Tunnel Project[NNW2021ZT6-B36] ; National Key R&D Program of China[2020YFE0204200] ; Xplore Prize |
WOS关键词 | FLUID DYNAMIC FORCES ; VELOCITY-FIELDS ; FREE-FLIGHT ; PERFORMANCE ; BODIES ; LIFT ; BAT |
WOS研究方向 | Mechanics ; Physics |
语种 | 英语 |
WOS记录号 | WOS:000880314400002 |
资助机构 | National Natural Science Foundation of China ; National Numerical Wind Tunnel Project ; National Key R&D Program of China ; Xplore Prize |
其他责任者 | Yang, Yue |
内容类型 | 期刊论文 |
源URL | [http://dspace.imech.ac.cn/handle/311007/90774] |
专题 | 力学研究所_非线性力学国家重点实验室 |
作者单位 | 1.Peking Univ, HEPDS CAPT, Beijing, Peoples R China 2.Univ Chinese Acad Sci, Sch Engn Sci, Beijing 100049, Peoples R China; 3.Chinese Acad Sci, Inst Mech, LNM, Beijing 100190, Peoples R China; 4.Peking Univ, Coll Engn, State Key Lab Turbulence & Complex Syst, Beijing 100871, Peoples R China; |
推荐引用方式 GB/T 7714 | Tong, Wenwen,Wang SZ,Yang, Yue. Estimating forces from cross-sectional data in the wake of flows past a plate using theoretical and data-driven models[J]. PHYSICS OF FLUIDS,2022,34(11):19. |
APA | Tong, Wenwen,王士召,&Yang, Yue.(2022).Estimating forces from cross-sectional data in the wake of flows past a plate using theoretical and data-driven models.PHYSICS OF FLUIDS,34(11),19. |
MLA | Tong, Wenwen,et al."Estimating forces from cross-sectional data in the wake of flows past a plate using theoretical and data-driven models".PHYSICS OF FLUIDS 34.11(2022):19. |
个性服务 |
查看访问统计 |
相关权益政策 |
暂无数据 |
收藏/分享 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论