Low-diffusion preconditioning scheme for numerical simulation of low-speed flows past airfoil

被引：0

作者：

相倩 ^{[1
,2
,3
]}

吴颂平 ^{[1
,2
,3
]}

李椿萱 ^{[1
,2
,3
]}

曹宁 ^{[1
,2
,3
]}

机构：

[1] School of Aeronautic Science and Engineering,Beihang University

[2] National Laboratory for Computational Fluid Dynamics,Beihang University

[3] Ministry of Education Key Laboratory of Fluid Mechanics,Beihang University

来源：

Applied Mathematics and Mechanics(English Edition) | 2011年 / 32卷 / 05期

关键词：

numerical simulation; preconditioning; steady flow; airfoil;

D O I：

暂无

中图分类号：

V212.1 [飞机飞行力学];

学科分类号：

08 ; 0825 ;

摘要：

<正>The preconditioning technique can address the stiffness of a low Mach number flow,while its stability is poor.Based on the conventional preconditioning method of Roe's scheme,a low-diffusion scheme is proposed.An adjustable parameter is introduced to control numerical dissipation,especially over the dissipation in the boundary layer and extremely in a low speed region.Numerical simulations of the low Mach number and low Reynolds number flows past a cylinder and the low Mach number and high Reynolds number flows past NACA0012 and S809 airfoils are performed to validate the new scheme. Results of the three tests well agree with experimental data,showing the applicability of the proposed scheme to low Mach number flow simulations.

引用

收藏

页码：613 / 620

页数：8

相关论文

共 50 条

[31] A low-Mach number method for the numerical simulation of complex flows [J].

Salinas-Vazquez, M. ;

Vicente, W. ;

Barrios, E. ;

Martinez, E. ;

Palacio, A. ;

Rodriguez, A. .

APPLIED MATHEMATICAL MODELLING, 2013, 37 (22) :9132-9146

[32] Sensitivity Analysis of Key Parameters for Population Balance Based Soot Model for Low-Speed Diffusion Flames [J].

Wang, Cheng ;

Yuen, Anthony Chun Yin ;

Chan, Qing Nian ;

Chen, Timothy Bo Yuan ;

Yang, Wei ;

Cheung, Sherman Chi-Pok ;

Yeoh, Guan Heng .

ENERGIES, 2019, 12 (05)

[33] Efficient numerical simulation of aeroacoustics for low Mach number flows interacting with structures [J].

Kornhaas, Michael ;

Schaefer, Michael ;

Sternel, Doerte C. .

COMPUTATIONAL MECHANICS, 2015, 55 (06) :1143-1154

[34] Efficient numerical simulation of aeroacoustics for low Mach number flows interacting with structures [J].

Michael Kornhaas ;

Michael Schäfer ;

Dörte C. Sternel .

Computational Mechanics, 2015, 55 :1143-1154

[35] Feasibility investigation of compressible direct numerical simulation with a preconditioning method at extremely low Mach numbers [J].

Li, Chung-Gang ;

Tsubokura, Makoto ;

Onishi, Keiji .

INTERNATIONAL JOURNAL OF COMPUTATIONAL FLUID DYNAMICS, 2014, 28 (6-10) :411-419

[36] Numerical Simulation of Low-Reynolds-Number and High-Lift Airfoil S1223 [J].

Ma, Rong ;

Liu, Peiqing .

WORLD CONGRESS ON ENGINEERING 2009, VOLS I AND II, 2009, :1691-+

[37] Design and Numerical Simulation of Volute Axial Outflow Hydraulic Turbine with Low Specific Speed [J].

Mao X. ;

Li C. ;

Qu B. ;

Zheng Y. ;

Li W. ;

Zhang X. .

Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery, 2018, 49 (05) :204-211

[38] Numerical simulation and experimental validation of free surface flows during low pressure casting process [J].

Viswanath, Abhilash ;

Manu, M. V. ;

Savithri, S. ;

Pillai, U. T. S. .

JOURNAL OF MATERIALS PROCESSING TECHNOLOGY, 2017, 244 :320-330

[39] Numerical Simulation of the Flow Field Characteristics of Low Speed Oblique Water Entry of Revolution Body [J].

Song W.-C. ;

Wang C. ;

Wei Y.-J. ;

Wang W. .

Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology, 2017, 37 (07) :661-666and671

[40] Numerical simulation of solid and elastic circular membrane in a simple and dilate microchannel in low Reynolds numbers flows [J].

Mostafavinia, Nasser ;

Mirzaee, Iraj ;

Pourmahmoud, Nader .

JOURNAL OF THE BRAZILIAN SOCIETY OF MECHANICAL SCIENCES AND ENGINEERING, 2017, 39 (11) :4455-4467

← 1 2 3 4 5 →