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Improved Two-Dimensional Dynamic Stall Prediction with Structured and Hybrid Numerical Methods

机译:改进的二维动态失速预测的结构化和混合数值方法

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摘要

A joint comprehensive validation activity on the structured numerical method elsA and the hybrid numerical method TAU was conducted with respect to dynamic stall applications. To improve two-dimensional prediction, the influence of several factors on the dynamic stall prediction was investigated. The validation was performed for three deep dynamic stall test cases of the rotor blade airfoil OA209 against experimental data from two-dimensional pitching airfoil experiments, covering low-speed and high-speed conditions. The requirements for spatial discretization and for temporal resolution in elsA and TAU are shown. The impact of turbulence modeling is discussed for a variety of turbulence models ranging from one-equation Spalart-Allmaras-type models to state-of-the-art, seven-equation Reynolds stress models. The influence of the prediction of laminar/turbulent boundary layer transition on the numerical dynamic stall simulation is described. Results of both numerical methods are compared to allow conclusions to be drawn with respect to an improved prediction of dynamic stall.
机译:针对动态失速应用,对结构化数值方法elsA和混合数值方法TAU进行了联合全面验证活动。为了改进二维预测,研究了几个因素对动态失速预测的影响。针对来自二维俯仰翼型实验的实验数据,针对低速和高速条件,对转子叶片翼型OA209的三个深动态失速测试案例进行了验证。显示了elsA和TAU中空间离散化和时间分辨率的要求。讨论了湍流建模对各种湍流模型的影响,从单方程Spalart-Allmaras型模型到最新的七方程雷诺应力模型。描述了层流/湍流边界层过渡的预测对数值动态失速模拟的影响。比较了两种数值方法的结果,以得出关于动态失速的改进预测的结论。

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