A production term correction for Menter shear-stress transport turbulence model for adverse pressure gradient flows before separation
To address the early separation problem in the Menter Shear-Stress Transport (SST) turbulence model, a correction for the Turbulent Kinetic Energy (TKE) production term, P k , is introduced to account for the effect of the Adverse Pressure Gradient (APG). The correction is determined based on the distribution of P k in the APG region before separation. When the friction coefficient C f is decomposed, its direct dependence on P k is clearly observed. However, with the introduction of Bradshaw’s assumption, P k in the SST turbulence model is over-suppressed, resulting in a lower inner peak or no significant inner peak distribution at all. To address this problem, this paper proposes a Gaussian function, H Gauss , which corrects the numerical values of P k involved in the calculation of the Menter SST model by focusing on the inner peak region of P k . The modified SST model is then applied to four cases with APGs. The modification leads to an increase in the wall friction coefficient C f in the APG region and causes a downstream shift in the separation location, improving the model’s consistency with high-accuracy data and experimental results. It is demonstrated that this correction can improve the early separation problem in the Menter SST turbulence model.
Authors
- Hanqi Song (ORCID: https://orcid.org/0000-0001-7229-6830)
- Chao Yan (ORCID: https://orcid.org/0000-0002-2691-7955)
- Mingze Ma (ORCID: https://orcid.org/0000-0003-0614-1333)
- Yifan Li (ORCID: https://orcid.org/0000-0002-9578-7357)
- Jinrong Zhang (ORCID: https://orcid.org/0009-0009-5309-1042)
Institutions
- Beihang University (CN)
Publication Details
- Journal
- Chinese Journal of Aeronautics
- Published
- 2024-12-16
- DOI
- https://doi.org/10.1016/j.cja.2024.103341
- Citations
- 5
- Primary Topic
- Fluid Dynamics and Turbulent Flows
- Type
- article
- Field-Weighted Citation Impact
- 1.87
Funders
- National Natural Science Foundation of China