A temporal super-resolution model for turbulence prediction based on optical flow and artificial neural network
文献类型：期刊论文
| 作者 | Zhang J(张吉)1,2; Li XL(李新亮)1,2; Men HY(门弘远)1,2; Guo TB(郭同彪)1; Wang K(王康)1,2; Liu HW(刘洪伟)1 |
| 刊名 | PHYSICS OF FLUIDS
 |
| 出版日期 | 2025-04-01 |
| 卷号 | 37期号:4页码:17 |
| ISSN号 | 1070-6631 |
| DOI | 10.1063/5.0260633 |
| 通讯作者 | Liu, Hongwei(hliu@imech.ac.cn) |
| 英文摘要 | This paper introduces a temporal super-resolution model based on optical flow and artificial neural network to predict the short-term evolution of turbulence in fluid mechanics. The model employs the Farneb & auml;ck algorithm to compute optical flow and generate a basic predicted flow field. However, some regions in the flow field do not fully satisfy the usage conditions of the optical flow algorithm, causing significant local errors. Therefore, a multilayer perceptron (MLP) is integrated into the model to learn the relationship between local gradients and prediction errors, providing correction values to improve the prediction accuracy of the optical flow method. To evaluate the model's generalization ability, it is applied to a range of compressible wall turbulence cases with Mach numbers spanning from 2.25 to 10, encompassing typical flow structures such as turbulent boundary layers, shock waves, and separation bubbles. The results demonstrate that the model can accurately reconstruct flow fields between two moments, with the MLP providing significant improvements in the prediction of temperature and density fields using the optical flow method. The computational efficiency of the present model is significantly higher than that of traditional computational fluid dynamics methods. |
| 分类号 | 一类/力学重要期刊 |
| WOS关键词 | PHYSICS |
| 资助项目 | Strategic Priority Research Program of Chinese Academy of Science ; National Natural Science Foundation of China[12232018] ; National Natural Science Foundation of China[91852203] ; National Natural Science Foundation of China[12072349] ; National Natural Science Foundation of China[12202457] ; National Natural Science Foundation of China[23FAA01491] ; [XDB0500301] |
| WOS研究方向 | Mechanics ; Physics |
| 语种 | 英语 |
| WOS记录号 | WOS:001465260100002 |
| 资助机构 | Strategic Priority Research Program of Chinese Academy of Science ; National Natural Science Foundation of China |
| 其他责任者 | 刘洪伟 |
| 源URL | [http://dspace.imech.ac.cn/handle/311007/101058]  |
| 专题 | 力学研究所_高温气体动力学国家重点实验室 |
| 作者单位 | 1.Chinese Acad Sci, Inst Mech, LHD, Beijing 100190, Peoples R China; 2.Univ Chinese Acad Sci, Sch Engn Sci, Beijing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhang J,Li XL,Men HY,et al. A temporal super-resolution model for turbulence prediction based on optical flow and artificial neural network[J]. PHYSICS OF FLUIDS,2025,37(4):17. |
| APA | 张吉,李新亮,门弘远,郭同彪,王康,&刘洪伟.(2025).A temporal super-resolution model for turbulence prediction based on optical flow and artificial neural network.PHYSICS OF FLUIDS,37(4),17. |
| MLA | 张吉,et al."A temporal super-resolution model for turbulence prediction based on optical flow and artificial neural network".PHYSICS OF FLUIDS 37.4(2025):17. |
入库方式： OAI收割
来源：力学研究所
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