| Improvement of Baldwin-Lomax turbulence model for supersonic complex flows |
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| 作者姓名： | Zhao Rui Yan Chao Yu Jian Li Xinliang |
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| 作者单位： | School of Aeronautic Science and Engineering, Beihang University;Key Laboratory of High Temperature Gas Dynamics, Chinese Academy of Sciences |
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| 基金项目： | This study was co-supported by National Basic Research Program of China，the Innovation Foundation of BUAA for Ph.D.Graduates，the Academic New Artist Award of BUAA for Ph.D.Graduates |
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| 摘 要： | Entropy represents the dissipation rate of energy. Through direct numerical simulation (DNS) of supersonic compression ramp flow, we find the value of entropy is monotonously decreasing along the wall-normal direction no matter in the attached or the separated region. Based on this feature, a new version of Baldwin-Lomax turbulence model (BL-entropy) is proposed in this paper. The supersonic compression ramp and cavity-ramp flows in which the original Baldwin-Lomax model fails to get convergent solutions are chosen to evaluate the performance of this model. Results from one-equation Spalart-Allmaras model (SA) and two-equation Wilcox k-x model are also included to compare with available experimental and DNS data. It is shown that BLentropy could conquer the essential deficiency of the original version by providing a more physically meaningful length scale in the complex flows. Moreover, this method is simple, computationally efficient and general, making it applicable to other models related with the supersonic boundary layer.
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| 关 键 词： | Baldwin–Lomax model Boundary layers Computational aerodynamics Entropy Supersonic flows Turbulence models |
| 收稿时间： | 9 January 2012 |
Improvement of Baldwin-Lomax turbulence model for supersonic complex flows |
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| Zhao Rui,Yan Chao,Yu Jian,Li Xinliang.Improvement of Baldwin-Lomax turbulence model for supersonic complex flows[J].Chinese Journal of Aeronautics,2013,26(3):529-534. |
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| Authors: | ,
Zhao Rui
,
Yan Chao
,
Yu Jian
,
Li Xinliang |
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| Institution: | 1. School of Aeronautic Science and Engineering, Beihang University, Beijing 100191, China
2. Key Laboratory of High Temperature Gas Dynamics, Chinese Academy of Sciences, Beijing 100190, China |
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| Abstract: | Entropy represents the dissipation rate of energy. Through direct numerical simulation (DNS) of supersonic compression ramp flow, we find the value of entropy is monotonously decreasing along the wall-normal direction no matter in the attached or the separated region. Based on this feature, a new version of Baldwin–Lomax turbulence model (BL-entropy) is proposed in this paper. The supersonic compression ramp and cavity-ramp flows in which the original Baldwin–Lomax model fails to get convergent solutions are chosen to evaluate the performance of this model. Results from one-equation Spalart–Allmaras model (SA) and two-equation Wilcox k–ω model are also included to compare with available experimental and DNS data. It is shown that BL-entropy could conquer the essential deficiency of the original version by providing a more physically meaningful length scale in the complex flows. Moreover, this method is simple, computationally efficient and general, making it applicable to other models related with the supersonic boundary layer. |
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| Keywords: | Baldwin-Lomax model Boundary layers Computational aerodynamics Entropy Supersonic flows Turbulence models |
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