南京航空航天大学 能源与动力学院,南京,210016
吴文昌(1998—),男,江西抚州人,博士,研究方向:可压缩湍流高精度数值模拟. E-mail:wenchangwu@nuaa.edu.cn
韩省思*,教授,研究方向:航空复杂动力系统流动、传热和燃烧的高精度数值模拟. E-mail:xshan@nuaa.edu.cn
纸质出版:2026
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吴文昌, 韩省思. 一种动态系数的自适应分离涡模拟方法[J]. 空气动力学学报, 2026, 44(3): 145−154.
Wu Wenchang, Han Xingsi. A dynamically-calibrated adaptive detached-eddy simulation method[J]. 2026, 44(3): 145-154.
吴文昌, 韩省思. 一种动态系数的自适应分离涡模拟方法[J]. 空气动力学学报, 2026, 44(3): 145−154. DOI: 10.7638/kqdlxxb-2025.0240
Wu Wenchang, Han Xingsi. A dynamically-calibrated adaptive detached-eddy simulation method[J]. 2026, 44(3): 145-154. DOI: 10.7638/kqdlxxb-2025.0240.
混合RANS/LES湍流模型是现阶段最有望实现工程化应用的高精度湍流模拟方法之一,提高混合RANS/LES模型在复杂流动预测中的通用性和准确性对于加速这一过程是十分重要的。为了实现该目标,首先理论分析了RANS方法和LES方法在适当条件下的表观等价性,并推导出一种通用性好的动态滤波尺度系数计算方法,以实现混合RANS/LES模型从RANS模式到LES模式的无缝过渡;进一步针对混合RANS/LES模型中潜在的“灰区”问题,利用
σ
-LES亚格子模型构建了适用于分离流动的自适应滤波尺度系数计算方法。将该方法应用于典型DES分离涡模型及其改进型DDES和IDDES模型中,可发展系列自适应分离涡模型(ADES/ADDES/AIDDES),理论方法的数值验证在开源PHengLEI软件平台进行。通过超声速底部流动和高升力翼型临界大攻角流动的数值模拟,证实了新型自适应分离涡模型(ADES/ADDES/AIDDES)可有效克服分离剪切层“灰区”延迟问题,从而提高了模型在回流区速度场、湍动能以及复杂翼型边界层速度型预测的准确性。数值结果表明,自适应滤波尺度系数计算方法能有效提升混合RANS/LES模型的准确性。
Hybrid RANS/LES turbulence models are currently among the most promising high-precision turbulence simulation methods for practical engineering applications. Enhancing their generality and accuracy in predicting complex flows is crucial for accelerating this adoption process. To achieve this goal
this study first theoretically analyzes the apparent equivalence of RANS and LES methods under appropriate conditions. A versatile method for calculating the dynamic filter-scale coefficient is derived
enabling
a seamless transition from RANS to LES mode within hybrid RANS/LES models. Furthermore
to address the potential "gray area" problem inherent in these models
an adaptive filter-scale coefficient calculation method suitable for separated flows is constructed using the
σ
-LES subgrid-scale model. When applied to typical Detached-Eddy Simulation (DES) model and their improved variants
i.e.
Delayed Detached-Eddy Simulation (DDES) and Improved Delayed Detached-Eddy Simulation (IDDES) models
this leads to the development of a series of adaptive ADES/ADDES/AIDDES models. The validation of the proposed new model is performed on the open source PHengLEI software platform. Numerical simulations of supersonic base flow and critical high-angle-of-attack flow around a high-lift airfoil confirm that the novel adaptive ADES/ADDES/AIDDES models effectively overcome the "gray area" delay issue in the separated shear layers
thereby improving the accuracy of predictions for the velocity field in recirculation zones
turbulent kinetic energy
and velocity profiles in the complex airfoil boundary layers. The numerical results demonstrate that the adaptive filter-scale coefficient calculation method can significantly enhance the accuracy of hybrid RANS/LES models.
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