基于在高度各向异性点云结构中取得良好结果的点云重构技术，采用移动最小二乘无网格法解耦计算了k-ω型湍流模型方程和雷诺平均 N-S 方程（RANS），实现了对湍流流动的数值模拟。通过对 NACA0012翼型、RAE2822翼型的绕流以及后向台阶大分离流动的数值模拟，比较分析了 k-ω SST（Shear Stress Transport）和 k-ωTNT（Turbulent/Non-Turbulent）两种模型的湍流预测能力。结果表明：对弱逆压梯度情况下的湍流，两者具有相当的预测能力；而 k-ω SST 较 k-ω TNT 具有更好的激波捕捉能力。对于大分离流动，两种模型较实验数据均存在一定差异，但总体趋势吻合良好。%In order to solve k-ω type turbulence model equations and Reynolds-averaged Navier-Stokes e-quations (RANS),cloud reconstruction technology,which can obtain well results from high aspect radio ani-sotropic cloud of points,is adopted in moving least squares meshless method.With the cloud reconstruction technique and the meshless method,it is realistic to simulate turbulence flows.The turbulence prediction a-bilities of the k-ω SST (Shear Stress Transport)and the k-ω TNT (Turbulent Non Turbulent)modes are demonstrated on a number of cases including NACA0012 airfoil,RAE2822 airfoil and backward-facing step. It can be found that:for weak advanced pressure gradient flows,the two models have the same ability for prediction;while in shock introduced separation turbulence flows,the SST model show better predicted abil-ity of shock capture than TNT model;for large scale separation flows,there are some differences between the results of the two models and the experimental data,while the overall trends are in good agreement with the experimental data.
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