题名 | Lifting relations for a generalized total-energy double-distribution-function kinetic model and their impact on compressible turbulence simulation |
作者 | |
通讯作者 | Wang, Lian-Ping |
发表日期 | 2024-08-15
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DOI | |
发表期刊 | |
ISSN | 0045-7930
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卷号 | 280 |
摘要 | Recently, Qi et al. (2022) and Guo et al. (2023) proposed two alternative designs of an efficient mesoscopic method using the total-energy double-distribution-function (DDF) formulation, hereafter referred to as the Qi model and the Guo model. The two models share the same advantage of using only 40 discrete particle velocities to fully reproduce the Navier–Stokes-Fourier (NSF) system. However, the Guo model is based on a more rigorous kinetic consideration, while the Qi model relies on a more general design of the source term to allow for adjustable bulk-to-shear viscosity ratio. In this paper, we derive lifting relations for the Qi model based on two alternative approaches, namely, the Hermite expansion and the Chapman–Enskog expansion, which can be used to construct the boundary and initial conditions for the mesoscopic method. For three-dimensional compressible turbulence simulations, including compressible decaying homogeneous isotropic turbulence and Taylor–Green vortex flows, the derived two sets of lifting relations are applied to the initialization distribution function to study their impacts. Interestingly, for the Qi model, the two sets of lifting relations yield the same results without numerical artifacts, whereas for the Guo model, an appropriate lifting relation must be specified to avoid numerical artifacts resulting from the flow initialization (Qi et al., 2023). © 2024 Elsevier Ltd |
收录类别 | |
语种 | 英语
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学校署名 | 通讯
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资助项目 | This work has been supported by the National Natural Science Foundation of China (NSFC award numbers T2250710183 , U2241269 , 91852205 , 11961131006 , 42075071 , 91741101 ), NSFC Basic Science Center Program (Award number 11988102 ), the Taizhou-Shenzhen Innovation Center, Guangdong Provincial Key Laboratory of Turbulence Research and Applications ( 2019B21203001 ), Guangdong-Hong Kong-Macao Joint Laboratory for Data-Driven Fluid Mechanics and Engineering Applications ( 2020B1212030001 ), and Shenzhen Science & Technology Program (Grant No. K QTD20180411143441009 , JCYJ20220530113005012 ). Computing resources are provided by the Center for Computational Science and Engineering of Southern University of Science and Technology.
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出版者 | |
EI入藏号 | 20242916718557
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EI主题词 | Compressibility of gases
; Kinetics
; Superconducting materials
; Turbulence
; Vortex flow
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EI分类号 | Fluid Flow, General:631.1
; Superconducting Materials:708.3
; Probability Theory:922.1
; Classical Physics; Quantum Theory; Relativity:931
; Physical Properties of Gases, Liquids and Solids:931.2
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ESI学科分类 | COMPUTER SCIENCE
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来源库 | EV Compendex
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引用统计 | |
成果类型 | 期刊论文 |
条目标识符 | http://sustech.caswiz.com/handle/2SGJ60CL/794429 |
专题 | 工学院_力学与航空航天工程系 南方科技大学 |
作者单位 | 1.State Key Laboratory for Turbulence and Complex Systems, College of engineering, Peking University, Beijing; 100871, China 2.Guangdong Provincial Key Laboratory of Turbulence Research and Applications, Center for Complex Flows and Soft Matter Research and Department of Mechanics and Aerospace Engineering, Southern University of Science and Technology, Guangdong, Shenzhen; 518055, China 3.Institute of Interdisciplinary Research for Mathematics and Applied Science, Huazhong University of Science and Technology, Hubei, Wuhan; 430074, China |
通讯作者单位 | 力学与航空航天工程系 |
推荐引用方式 GB/T 7714 |
Qi, Yiming,Shen, Jie,Wang, Lian-Ping,et al. Lifting relations for a generalized total-energy double-distribution-function kinetic model and their impact on compressible turbulence simulation[J]. Computers and Fluids,2024,280.
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APA |
Qi, Yiming,Shen, Jie,Wang, Lian-Ping,&Guo, Zhaoli.(2024).Lifting relations for a generalized total-energy double-distribution-function kinetic model and their impact on compressible turbulence simulation.Computers and Fluids,280.
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MLA |
Qi, Yiming,et al."Lifting relations for a generalized total-energy double-distribution-function kinetic model and their impact on compressible turbulence simulation".Computers and Fluids 280(2024).
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