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A wall model learned from the periodic hill data and the law of the wall
Zhou ZD(周志登); Yang, Xiang IA; Zhang FS(张凤顺); Yang XL(杨晓雷)
Source PublicationPHYSICS OF FLUIDS
2023-05
Volume35Issue:5Pages:55108
ISSN1070-6631
AbstractToward data-driven wall-modeled large-eddy simulations of different wall-bounded turbulent flows, a wall model is learned in this work using the wall-resolved large-eddy simulation (WRLES) data of the flow over periodic hills (PH) and the law of the wall (LoW). The feedforward neural network (FNN) is employed to construct the model. The obtained FNN_PH-LoW model is successfully tested using the direct numerical simulation data of turbulent channel flows and the WRLES data of PH cases, and applied to turbulent channel flows for a wide range of Reynolds numbers.
DOI10.1063/5.0143650
Indexed BySCI ; EI
Language英语
WOS IDWOS:000981452000025
WOS Research AreaMechanics ; Physics, Fluids & Plasmas
Funding OrganizationNSFC Basic Science Center Program for Multiscale Problems in Nonlinear Mechanics [11988102] ; National Natural Science Foundation of China [12172360, 12002345] ; National Key Project [GJXM92579] ; China Postdoctoral Science Foundation [2020M680027]
Classification一类/力学重要期刊
Ranking1
ContributorYang, XL (corresponding author), Chinese Acad Sci, Inst Mech, State Key Lab Nonlinear Mech, Beijing 100190, Peoples R China. ; Yang, XL (corresponding author), Univ Chinese Acad Sci, Sch Engn Sci, Beijing 100049, Peoples R China.
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Cited Times:3[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://dspace.imech.ac.cn/handle/311007/92424
Collection非线性力学国家重点实验室
Affiliation1.{Zhou Zhideng, Zhang Fengshun, Yang Xiaolei} Chinese Acad Sci Inst Mech State Key Lab Nonlinear Mech Beijing 100190 Peoples R China
2.{Zhou Zhideng, Zhang Fengshun, Yang Xiaolei} Univ Chinese Acad Sci Sch Engn Sci Beijing 100049 Peoples R China
3.{Yang Xiang I. A.} Penn State Univ Dept Mech Engn State Coll PA 16802 USA
Recommended Citation
GB/T 7714
Zhou ZD,Yang, Xiang IA,Zhang FS,et al. A wall model learned from the periodic hill data and the law of the wall[J]. PHYSICS OF FLUIDS,2023,35,5,:55108.
APA 周志登,Yang, Xiang IA,张凤顺,&杨晓雷.(2023).A wall model learned from the periodic hill data and the law of the wall.PHYSICS OF FLUIDS,35(5),55108.
MLA 周志登,et al."A wall model learned from the periodic hill data and the law of the wall".PHYSICS OF FLUIDS 35.5(2023):55108.
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