In this paper, new concepts are presented from the aspects of viscous modeling and numerical scheme in an attempt to improve the prediction of rotor hover performance and associated viscous flow physics under a RANS statistic modeling framework. An improved viscous modeling is proposed to address the overprediction of flow separations faced by RANS modeling, which modifies the linear eddy viscosity models based on a new separation correction method. This concept is seamlessly implemented into two popular eddy viscosity models: the Spalart-Allmaras one-equation model and Menter's shear stress transport two-equation model. A new high order unstructured grid WENO scheme is adopted to improve the prediction of mean flow resolutions as well as viscous flow structures around the hovering rotor. Numerical results show significant improvements achieved in the prediction of rotor hover performance as well as viscous flow phenomena including boundary layer transitions and flow separations.

在本文中，从粘性建模和数值方案的角度提出了新的概念，以期在RANS统计建模框架下改进对转子悬停性能和相关粘性流物理学的预测。提出了一种改进的粘性模型来解决RANS模型所面临的流动分离的过度预测问题，该模型基于一种新的分离校正方法修改了线性涡流粘度模型。该概念被无缝地实现为两个流行的涡流粘度模型：Spalart-Allmaras一方程模型和Menter的切应力传递二方程模型。采用了一种新的高阶非结构化网格WENO方案，以改进对悬停转子周围的平均流分辨率以及粘性流结构的预测。