Determining pressure from velocity via physics-informed neural network
文献类型:期刊论文
作者 | Cai, Zemin5; Lin, Xiangqi5; Liu, Tianshu4; Wu, Fan2,3; Wang, Shizhao2,3![]() ![]() |
刊名 | EUROPEAN JOURNAL OF MECHANICS B-FLUIDS
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出版日期 | 2025 |
卷号 | 109页码:1-21 |
关键词 | Pressure Velocity PINN Machine learning Neural network Flow Navier-Stokes equations |
ISSN号 | 0997-7546 |
DOI | 10.1016/j.euromechflu.2024.08.007 |
通讯作者 | Liu, Tianshu(tianshu.liu@wmich.edu) |
英文摘要 | This paper describes a physics-informed neural network (PINN) for determining pressure from velocity where the Navier-Stokes (NS) equations are incorporated as a physical constraint, but the boundary condition is not explicitly imposed. The exact solution of the NS equations for the oblique Hiemenz flow is utilized to evaluate the accuracy of the PINN and the effects of the relevant factors including the boundary condition, data noise, number of collocation points, Reynolds number and impingement angle. In addition, the PINN is evaluated in the twodimensional flow over a NACA0012 airfoil based on computational fluid dynamics (CFD) simulation. Further, the PINN is applied to the velocity data of a flying hawkmoth (Manduca) obtained in high-speed schlieren visualizations, revealing some interesting pressure features associated with the vortex structures generated by the flapping wings. Overall, the PINN offers an alternative solution for the problem of pressure from velocity with the reasonable accuracy and robustness. |
WOS关键词 | FLUID ; FLOW ; FIELDS ; PIV ; FORCES |
资助项目 | National Natural Science Foundation of China[61876104] ; Guangdong Natural Science Foundation[2023A1515011449] ; Presidential Innovation Professorship and Iohn O. Hallquist Endowed Professorship at Western Michigan University |
WOS研究方向 | Mechanics ; Physics |
语种 | 英语 |
WOS记录号 | WOS:001306804800001 |
资助机构 | National Natural Science Foundation of China ; Guangdong Natural Science Foundation ; Presidential Innovation Professorship and Iohn O. Hallquist Endowed Professorship at Western Michigan University |
源URL | [http://dspace.imech.ac.cn/handle/311007/96499] ![]() |
专题 | 力学研究所_非线性力学国家重点实验室 |
通讯作者 | Liu, Tianshu |
作者单位 | 1.Purdue Univ Northwest, Dept Mech & Civil Engn, Westville, IN USA 2.Univ Chinese Acad Sci, Sch Engn Sci, Beijing, Peoples R China 3.Chinese Acad Sci, Inst Mech, LNM, Beijing, Peoples R China 4.Western Michigan Univ, Dept Mech & Aerosp Engn, Kalamazoo, MI 49008 USA 5.Shantou Univ, Dept Elect Engn, Shantou, Peoples R China |
推荐引用方式 GB/T 7714 | Cai, Zemin,Lin, Xiangqi,Liu, Tianshu,et al. Determining pressure from velocity via physics-informed neural network[J]. EUROPEAN JOURNAL OF MECHANICS B-FLUIDS,2025,109:1-21. |
APA | Cai, Zemin.,Lin, Xiangqi.,Liu, Tianshu.,Wu, Fan.,Wang, Shizhao.,...&王士召.(2025).Determining pressure from velocity via physics-informed neural network.EUROPEAN JOURNAL OF MECHANICS B-FLUIDS,109,1-21. |
MLA | Cai, Zemin,et al."Determining pressure from velocity via physics-informed neural network".EUROPEAN JOURNAL OF MECHANICS B-FLUIDS 109(2025):1-21. |
入库方式: OAI收割
来源:力学研究所
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