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.
| Original language | English |
|---|---|
| Pages (from-to) | 529-534 |
| Number of pages | 6 |
| Journal | Chinese Journal of Aeronautics |
| Volume | 26 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - Jun 2013 |
| Externally published | Yes |
Keywords
- Baldwin-Lomax model
- Boundary layers
- Computational aerodynamics
- Entropy Supersonic flows
- Turbulence models