Effect of von Karman length scale in scale adaptive simulation approach on the prediction of supersonic turbulent flow
被引:19
作者:
Xu, Chang-Yue
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机构:
Nanjing Univ Aeronaut & Astronaut, Key Lab Aircraft Environm Control & Life Support, MIIT, Nanjing 210016, Jiangsu, Peoples R ChinaNanjing Univ Aeronaut & Astronaut, Key Lab Aircraft Environm Control & Life Support, MIIT, Nanjing 210016, Jiangsu, Peoples R China
Xu, Chang-Yue
[1
]
Zhang, Tong
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机构:
Nanjing Univ Aeronaut & Astronaut, Key Lab Aircraft Environm Control & Life Support, MIIT, Nanjing 210016, Jiangsu, Peoples R ChinaNanjing Univ Aeronaut & Astronaut, Key Lab Aircraft Environm Control & Life Support, MIIT, Nanjing 210016, Jiangsu, Peoples R China
Zhang, Tong
[1
]
Yu, Yuan-Yuan
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机构:
AVIC Aerosp Life Support Ind LTD, Xiangyang 441003, Peoples R ChinaNanjing Univ Aeronaut & Astronaut, Key Lab Aircraft Environm Control & Life Support, MIIT, Nanjing 210016, Jiangsu, Peoples R China
Yu, Yuan-Yuan
[2
]
Sun, Jian-Hong
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机构:
Nanjing Univ Aeronaut & Astronaut, Key Lab Aircraft Environm Control & Life Support, MIIT, Nanjing 210016, Jiangsu, Peoples R ChinaNanjing Univ Aeronaut & Astronaut, Key Lab Aircraft Environm Control & Life Support, MIIT, Nanjing 210016, Jiangsu, Peoples R China
Sun, Jian-Hong
[1
]
机构:
[1] Nanjing Univ Aeronaut & Astronaut, Key Lab Aircraft Environm Control & Life Support, MIIT, Nanjing 210016, Jiangsu, Peoples R China
[2] AVIC Aerosp Life Support Ind LTD, Xiangyang 441003, Peoples R China
Supersonic flow;
Scale-adaptive simulation;
Base flow;
von Karman length scale;
DIRECT NUMERICAL-SIMULATION;
DETACHED-EDDY SIMULATION;
BASE;
WAKE;
LAYER;
RANS;
DES;
D O I:
10.1016/j.ast.2019.01.030
中图分类号:
V [航空、航天];
学科分类号:
08 ;
0825 ;
摘要:
Numerical investigations of the supersonic axisymmetric base flow at Mach number 2.46 and Reynolds number 2.858 x 10(6) are carried out using the scale-adaptive simulation (SAS) approach. To achieve SAS computation, three mathematical forms of von Karman length scale are utilized. The first one is calculated from the strain rate tensor and second derivative of the velocity field (this SAS can be marked as "SAS-1"). Computation of the second one is employed using the vorticity and its first derivative (this SAS can be denoted as "SAS-2"). The third one is computed from the vorticity and the second derivative of the velocity field (this SAS can be named as "SAS-3"). Their effects on the quantitative predictions are assessed. Two inflow conditions are also investigated, i.e., inflow condition with/without turbulent-boundary-layer profiles. Results show that the inflow conditions have the significant effects on the base-pressure and streamwise velocity distributions, and the predicted results at the inflow condition with profiles show better agreement with experimental data than that at the inflow condition without profiles. The inflow conditions and von Karman length scales only have the relatively slight effects on the radial velocity distributions. Similarly, at the inflow condition with profiles, the base-pressure distributions are also not sensitive to mathematical forms of von Karman length scale. More comparisons reveal that the best predictions can be obtained by SAS-2 and SAS-3. It may be associated with the vortex stretching effects explicitly considered in the von Karman length scales of SAS-2 and SAS-3. Although the mean flow field predicted by SAS-2 is slightly better than that obtained by SAS-3. However, SAS-3 can give the slightly better predictions for the Reynolds stresses than SAS-2. (C) 2019 Elsevier Masson SAS. All rights reserved.