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首页> 外文期刊>International journal of computational fluid dynamics >Comparative studies of numerical methods for evaluating aerodynamic characteristics of two-dimensional airfoil at low Reynolds numbers
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Comparative studies of numerical methods for evaluating aerodynamic characteristics of two-dimensional airfoil at low Reynolds numbers

机译:低雷诺数评价二维翼型空气动力学特征的数值方法的比较研究

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This study investigates the predictability of the aerodynamic performance of some numerical methods at low Reynolds numbers and their dependency on the geometric shape of airfoil. We conducted three-dimensional large-eddy simulations (3-D LES), two-dimensional laminar simulations (2-D Lam), and Reynolds-averaged Navier-Stokes simulations with Baldwin-Lomax (2-D RANS(BL)) and Spalart-Allmaras (2-D RANS(SA)) turbulence models. Although there is little discrepancy between the 3-D LES, 2-D Lam, and 2-D RANS(SA) results in terms of the lift and drag characteristics, significant differences are observed in the predictability of the separation and reattachment points. The predicted lift, separation, and reattachment points of the 2-D Lam are qualitatively similar to those of the 3-D LES, except for high angles of attack at which a massive separation occurs. The 2-D RANS(SA) shows good predictability of the lift and separation points, but it does not estimate reattachment points accurately. The 2-D RANS(BL) fails to predict the precise separation points, which results in a poor lift predictability. These characteristics appear regardless of the airfoil geometry shapes. The results suggest that a 2-D Lam without any turbulence models can be used to estimate qualitative airfoil aerodynamic characteristics at the low Reynolds numbers.
机译:本研究研究了一些数值方法在低雷诺数的空气动力学性能的可预测性及其对翼型几何形状的依赖性。我们进行了三维大涡模拟(3-D LES),二维层层模拟(2-D LAM),以及带有Baldwin-Lomax的雷诺平均血管 - 斯托克斯模拟(2-D Rans(BL))和Spalart-Allmaras(2-D RANS(SA))湍流模型。虽然3-D LES,2-D LAM和2-D RANS(SA)在提升和拖曳特性方面几乎没有差异,但在分离和重新附着点的可预测性中观察到显着差异。除了在发生大量分离的高角度之外,2-D am的预测提升,分离和重新分离点与三维LES的预测提升,分离和重新分离点与3-D LES的攻击性相似。 2-D RANS(SA)显示了升力和分离点的良好可预测性,但它不会准确估计重新附点。 2-D Rans(BL)无法预测精确的分离点,这导致升高可预测性差。无论翼型几何形状如何,这些特征都会出现。结果表明,没有任何湍流模型的2-D液体可用于估计低雷诺数的定性翼型空气动力学特性。

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