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中文核心期刊

SST湍流模型在超声速激波-边界层干扰中的改进

IMPROVED SHEAR STRESS TRANSPORT TURBULENCE MODEL FOR SHOCK WAVE-BOUNDARY LAYER INTERACTIONS

  • 摘要: 激波-边界层干扰作为高速飞行器控制面和进气道等关键部位的典型流动现象,所诱导的流动分离与再附、气动力热的局部增强会严重危害飞行器气动性能。当前工业界广泛采用的剪切应力输运(SST) k-ω两方程湍流模型虽然在平衡流动等场景中表现出良好的预测能力,但对存在强逆压梯度的激波-边界层干扰流动的预测表现出显著不足。通过对比分析24°压缩拐角流动的直接数值模拟数据,发现采用原始SST模型在干扰区附近预测的湍动能及其产生项均偏低,故本文通过在SST模型生成项前添加一个与压力梯度相关的调节函数,其仅在激波干扰区附近激活,而在其他区域保持不变,以实现对湍动能输运方程的局部自适应校正。通过对不同强度的压缩拐角流动和入射斜激波平板边界层干扰流动进行测试,结果表明,改进SST模型具有与原始模型一致的边界层预测能力,但对激波干扰区附近的物面摩擦阻力、压力以及分离泡的预测精度均有明显提高。

     

    Abstract: Shock wave-boundary layer interaction (SWBLI), a typical flow phenomenon observed in critical components of high-speed flight vehicles such as control surfaces and inlets, induces adverse effects including flow separation and reattachment and localized enhancement of aerodynamic forces and heat loads, which severely compromise the vehicle's aerodynamic performance. The shear stress transport (SST) k-ω turbulence model, which is widely adopted in current industrial applications, behaves strong predictive capabilities in equilibrium boundary layers. However, it exhibits significant limitations when applied to shock-wave/boundary-layer interaction flows with strong adverse pressure gradients. Through a comparative analysis of direct numerical simulation data for 24° compression ramp flow, it was observed that the original SST model underestimates both the turbulent kinetic energy (TKE) and its production term near the corner. To address this problem, a novel pressure-gradient-dependent adjustment function, dynamically activated within shock interaction regions while maintaining original behavior in other zones, was incorporated into original SST model. It enables a localized adaptive correction of the TKE transport equation near interaction regions. The improved SST model was rigorously validated using several cases, including flows over compression ramps and oblique shock wave impingement on flat plates interaction with varying intensities. The results indicate that the improved SST model maintains consistent predictive accuracy for boundary layer properties compared to the original one, while significantly enhancing the prediction of wall skin friction, pressure distribution, and separation bubble characteristics in the vicinity of the interaction

     

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