Aerodynamic flow modeling for helicopters landing on ships

飞机飞行模拟是一个成熟的领域，为社会提供了极好的性价比。飞机和直升机的飞行模拟器可以有效地训练飞行员（时间和成本），同时降低失去飞机或更糟的是飞行员的风险。该项目旨在提高直升机在舰艇上着陆的实时飞行模拟软件包中使用的空气动力学模型的保真度。这些模型将是混合保真的：无粘流将通过涡旋晶格方法建模，而粘性流将通过非定常雷诺平均纳维-斯托克斯（URANS）方法建模。特别是，重点将放在转子流动建模与周期运动。研究了可压缩性、跨声速流动条件、边界层和叶尖涡的影响，以及船舶尾迹的影响。蒙特利尔理工大学的laurenau教授的团队将研究中央处理器(CPU)/图形处理器（GPU）上的时间精确无粘模型，以及通过执行器磁盘边界条件的转子流动模型，而麦吉尔大学的Nadarajah教授的团队将专注于周期性粘性流动模型。CAE将使用商用3D流求解器检查船舶尾流模型，以提供有关船舶尾流的信息。

Flight simulation of aircraft is a well-established field providing excellent value/price ratio to the community. Flight simulators for airplanes and helicopters allow efficient pilot training (time and costs) while reducing risks of losing an aircraft or worse, pilots. This project aims at increasing the fidelity of aerodynamic models used in real-time flight simulation packages for helicopter landing on ships. The models will be of mixed-fidelity: the inviscid flow will be modeled via Vortex Lattice methods, while viscous flows will be modeled via Unsteady Reynolds-averaged Navier-Stokes (URANS) methods. In particular, emphasis will be placed on rotor flow modeling with periodic motions. The effects of compressibility, transonic flow conditions, boundary-layers, and tip vortex will be examined, as well as the effects of ship wakes by a collaborative approach. Prof. Laurendeau's team at Polytechnique Montréal will examine the time-accurate inviscid models on Central Processing Units (CPU)/Graphics Processing Units (GPU) and on rotor flow models via the actuator disk boundary conditions while Prof. Nadarajah's team at McGill University will concentrate on periodic viscous flow models. CAE will examine the ship wake model with a commercial 3D flow solver to provide information on ship wakes.