| A data-driven distributed force model for wall-modeled large-eddy simulations of rough-wall turbulence | |
Zhou ZD(周志登)1,2 ; Li SL(李世隆)1,2; He GW(何国威)1,2; Yang XL(杨晓雷)1,2
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| Corresponding Author | Yang, Xiaolei([email protected]) |
| Source Publication | JOURNAL OF COMPUTATIONAL PHYSICS
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| 2024-10-01 | |
| Volume | 514Pages:20 |
| ISSN | 0021-9991 |
| Abstract | In this work, a data-driven distributed force model for wall-modeled large-eddy simulations of rough-wall turbulence is proposed. In the proposed model, a body force with its distribution given by the area fraction of solid is distributed in the near-wall roughness layer to model the impact of the rough wall on the outer flow. The amplitude of the body force is computed based on the local streamwise velocity and the equivalent sandgrain roughness height, with the latter calculated using a deep neural network (DNN) model. Ideally, the proposed model can be applied to any type of rough wall if the geometrical parameters required by the DNN model are available. The proposed model is tested by simulating the turbulent channel flow for three cube-roughened surfaces and three ellipsoid-roughened surfaces at different grid resolutions and different Reynolds numbers. An overall good agreement with the direct numerical simulation results is achieved. |
| Keyword | Distributed force model Equivalent sandgrain roughness height Deep neural network Rough-wall turbulence Large-eddy simulation |
| DOI | 10.1016/j.jcp.2024.113241 |
| Indexed By | SCI ; EI |
| Language | 英语 |
| WOS ID | WOS:001362314200001 |
| WOS Keyword | DIRECT NUMERICAL-SIMULATION ; FLOW ; LAYER ; DRAG |
| WOS Research Area | Computer Science ; Physics |
| WOS Subject | Computer Science, Interdisciplinary Applications ; Physics, Mathematical |
| Funding Project | NSFC Basic Science Center Program for Multiscale Problems in Nonlinear Mechanics[11988102] ; Strategic Priority Research Program of Chinese Academy of Sciences (CAS)[XDB0620102] ; National Natural Science Foundation of China[12002345] ; National Natural Science Foundation of China[12172360] ; CAS Project for Young Scientists in Basic Research[YSBR-087] |
| Funding Organization | NSFC Basic Science Center Program for Multiscale Problems in Nonlinear Mechanics ; Strategic Priority Research Program of Chinese Academy of Sciences (CAS) ; National Natural Science Foundation of China ; CAS Project for Young Scientists in Basic Research |
| Classification | 一类/力学重要期刊 |
| Ranking | 1 |
| Contributor | Yang, Xiaolei |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://dspace.imech.ac.cn/handle/311007/97545 |
| Collection | 非线性力学国家重点实验室 |
| Affiliation | 1.Chinese Acad Sci, Inst Mech, State Key Lab Nonlinear Mech, Beijing 100190, Peoples R China; 2.Univ Chinese Acad Sci, Sch Engn Sci, Beijing 100049, Peoples R China |
| Recommended Citation GB/T 7714 | Zhou ZD,Li SL,He GW,et al. A data-driven distributed force model for wall-modeled large-eddy simulations of rough-wall turbulence[J]. JOURNAL OF COMPUTATIONAL PHYSICS,2024,514:20.Rp_Au:Yang, Xiaolei |
| APA | 周志登,李世隆,何国威,&杨晓雷.(2024).A data-driven distributed force model for wall-modeled large-eddy simulations of rough-wall turbulence.JOURNAL OF COMPUTATIONAL PHYSICS,514,20. |
| MLA | 周志登,et al."A data-driven distributed force model for wall-modeled large-eddy simulations of rough-wall turbulence".JOURNAL OF COMPUTATIONAL PHYSICS 514(2024):20. |
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