【目的】两方程模型是RANS工程计算中常用的湍流模型，其中SST k-ω湍流模型具有良好的壁面距离自适应性和逆压梯度流预报能力。然而湍流模型构造过程中引入的经验性参数使得湍流模型不具有广泛普适性。【方法】GEKO (GEneralized k-ω)湍流模型在经典SST k-ω湍流模型基础上，引入流动分离参数CS和旋转修正参数CRC来分别控制流动分离强度和流动旋转效应，以提高湍流模型对各类流动的适应性。用SURF程序对JBC船型流场进行数值模拟并与试验结果进行对比，考察了不同设置下新参数对船体阻力、伴流场和压力分布的影响。【结果】计算结果表明，与经典SST k-ω湍流模型相比，GEKO湍流模型中CS和CRC的设置可以影响JBC船型的阻力预报及伴流场预报。【结论】湍流模型的参数化修正，具有提高湍流模型适应性和精确度的潜力，对湍流模型工程应用改进有着参考价值。
Two-equation models are the common turbulence models for RANS calculations in engineering applications. SST k-ω model is self-adaptive of wall distance and capable of predicting adverse pressure gradient flows. Empirical constants are introduced to derive the turbulence models so that none of the models is universal for all flow conditions. [Methods] The GEKO (GEneralized k-ω) model is based on the classical SST k-ω model, meanwhile introducing the separation parameter CS and rotation parameter CRC in order to control the separation intensity and impact of flow rotations respectively. The new turbulence model was applied to predict the flow of JBC ship. Experimental data were compared to the calculation result in terms of ship resistance, wake patterns and pressure distribution, in order to inspect the influence of varying settings of CS and CRC. [Results] The comparison shows that the setting of CS and CRC in GEKO model could have an impact on the prediction of ship resistance and local wake flow, compared to the classical SST k-ω model. [Conclusions] The reasonable parameter tuning of turbulence models is potential for the improving the accuracy and applicability of numerical prediction. The procedure could be a reference for the modification of turbulence models in engineering applications.