One-Equation Turbulence Model Based on Extended Bradshaw Assumption
被引:18
|
作者:
Xu, Jinglei
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机构:
Beihang Univ, Sch Energy & Power Engn, Beijing 100191, Peoples R ChinaBeihang Univ, Sch Energy & Power Engn, Beijing 100191, Peoples R China
Xu, Jinglei
[1
]
Zhang, Yang
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机构:
Northwestern Polytech Univ, Sch Aeronaut, Xian 710072, Shaanxi, Peoples R ChinaBeihang Univ, Sch Energy & Power Engn, Beijing 100191, Peoples R China
Zhang, Yang
[2
]
Bai, Junqiang
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机构:
Northwestern Polytech Univ, Sch Aeronaut, Xian 710072, Shaanxi, Peoples R ChinaBeihang Univ, Sch Energy & Power Engn, Beijing 100191, Peoples R China
Bai, Junqiang
[2
]
机构:
[1] Beihang Univ, Sch Energy & Power Engn, Beijing 100191, Peoples R China
[2] Northwestern Polytech Univ, Sch Aeronaut, Xian 710072, Shaanxi, Peoples R China
DIRECT NUMERICAL-SIMULATION;
BOUNDARY-LAYERS;
CHANNEL FLOW;
ENERGY;
D O I:
10.2514/1.J053039
中图分类号:
V [航空、航天];
学科分类号:
08 ;
0825 ;
摘要:
A one-equation turbulence model is presented. The modeling tries to adopt a more reliable source and less empirical coefficients. The governing equation is the turbulent kinetic energy equation, in which epsilon is closed phenomenologically. The stress intensity ratio 12/k is calibrated to be a function controlled by the local variables but not a constant 0.3. The extension of the Bradshaw assumption turns out to be of good accuracy, forming a new Reynolds stress constitutive relation. The two model coefficients are both extracted from one slice of the flat-plate boundary layer, yet extensive tests show that the model can significantly improve the precision of prediction for the boundary-layer flows, the adverse pressure gradient, shallow separation, transport effects, and massively separated flows.
机构:
Singapore MIT Alliance Res & Technol SMART, CENSAM, Singapore 117543, SingaporeSingapore MIT Alliance Res & Technol SMART, CENSAM, Singapore 117543, Singapore
Li, Xian-Xiang
Liu, Chun-Ho
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机构:
Univ Hong Kong, Dept Mech Engn, Hong Kong, Hong Kong, Peoples R ChinaSingapore MIT Alliance Res & Technol SMART, CENSAM, Singapore 117543, Singapore
Liu, Chun-Ho
Leung, Dennis Y. C.
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机构:
Univ Hong Kong, Dept Mech Engn, Hong Kong, Hong Kong, Peoples R ChinaSingapore MIT Alliance Res & Technol SMART, CENSAM, Singapore 117543, Singapore