Li Wenhao, Rao Caiyan, Duan Yi, et al. Performance of various SST models in predicting typical separated flows[J]. 2026, 44(2): 125-136.DOI: 10.7638/kqdlxxb-2024.0179.
Performance of various SST models in predicting typical separated flows
流动分离现象对飞行器表面附近的流场结构以及飞行器的整体性能有着至关重要的影响。基于驼峰流动以及跨声速凸包流动两种典型的分离流动,采用CFL3D求解器对航空航天工程领域常用的shear-stress transport (SST)湍流模型及其多种修正形式的预测性能进行了评估与分析。通过将平均流场与湍流场的模拟结果分别与高精度实验及大涡模拟数据进行对比,发现:由于低估分离区剪切层中的湍流生成,SST模型在相应区域预测的湍流掺混强度不足,常常会过大地估计二维分离区的范围。在SST模型基础上考虑旋转/流线曲率因素的修正形式未取得明显的改善效果;考虑湍流各向异性的修正形式虽然提高了对雷诺应力的预测精度,但未能有效改善对平均流场的预测性能;相比之下,引入分离流动修正则可通过增大分离区剪切层的湍流生成来增强湍流掺混,从而显著减小分离区的范围。进一步地,通过结合分离流动修正与湍流各向异性修正,可以明显改善对平均流场与湍流场的预测精度。本文研究可对工程仿真计算中湍流模型的选取和进一步改进提供指导。
Abstract
The phenomenon of flow separation critically influences the flow field structure near aircraft surfaces and their overall performance. This study evaluated the predictive performance of the widely used shear-stress transport (SST) turbulence model and its various modifications for two canonical separated flows: the hump flow and the transonic bump flow
employing the CFL3D solver. Comparisons of both the mean flow and turbulence fields against high-fidelity experimental data and large eddy simulation (LES) results reveal that the standard SST model underestimates turbulence production in the shear layer of the separation zone
leading to insufficient turbulent mixing and a consequent overprediction of the two-dimensional separation region. Modifications incorporating rotation/streamline curvature effects yield no significant improvement. While modifications accounting for turbulence anisotropy enhance the prediction of Reynolds stresses
they do not effectively improve mean flow field predictions. In contrast
introducing a separation flow correction increases turbulence production in the separation shear layer
thereby enhancing turbulent mixing and significantly reducing the separation zone extent. Furthermore
coupling the separation flow correction with the anisotropy modification markedly enhances the predictive accuracy for both the mean flow and turbulence fields. This work provides valuable guidance for selecting and refining turbulence models in engineering simulations.
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