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

doi:10.1016/j.jcp.2024.113241

IMECH-IR > 非线性力学国家重点实验室

	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
通讯作者	Yang, Xiaolei([email protected])
发表期刊	JOURNAL OF COMPUTATIONAL PHYSICS
	2024-10-01
卷号	514 页码:20
ISSN	0021-9991
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.
关键词	Distributed force model Equivalent sandgrain roughness height Deep neural network Rough-wall turbulence Large-eddy simulation
DOI	10.1016/j.jcp.2024.113241
收录类别	SCI ; EI
语种	英语
WOS记录号	WOS:001362314200001
关键词[WOS]	DIRECT NUMERICAL-SIMULATION ; FLOW ; LAYER ; DRAG
WOS研究方向	Computer Science ; Physics
WOS类目	Computer Science, Interdisciplinary Applications ; Physics, Mathematical
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]
项目资助者	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
论文分区	一类/力学重要期刊
力学所作者排名	1
RpAuthor	Yang, Xiaolei
引用统计
文献类型	期刊论文
条目标识符	http://dspace.imech.ac.cn/handle/311007/97545
专题	非线性力学国家重点实验室
作者单位	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
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.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.