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A data-driven distributed force model for wall-modeled large-eddy simulations of rough-wall turbulence

文献类型：期刊论文

作者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
刊名JOURNAL OF COMPUTATIONAL PHYSICS
出版日期2024-10-01
卷号514页码:20
关键词Distributed force model Equivalent sandgrain roughness height Deep neural network Rough-wall turbulence Large-eddy simulation
ISSN号0021-9991
DOI10.1016/j.jcp.2024.113241
通讯作者Yang, Xiaolei(xyang@imech.ac.cn)
英文摘要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.
分类号一类/力学重要期刊
WOS关键词DIRECT NUMERICAL-SIMULATION ; FLOW ; LAYER ; DRAG
资助项目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]
WOS研究方向Computer Science ; Physics
语种英语
WOS记录号WOS:001362314200001
资助机构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
其他责任者Yang, Xiaolei
源URL[http://dspace.imech.ac.cn/handle/311007/97544]  
专题力学研究所_非线性力学国家重点实验室
作者单位1.Univ Chinese Acad Sci, Sch Engn Sci, Beijing 100049, Peoples R China
2.Chinese Acad Sci, Inst Mech, State Key Lab Nonlinear Mech, Beijing 100190, Peoples R China;
推荐引用方式
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.
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.

入库方式： OAI收割

来源：力学研究所

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