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Study on the Capability of an Open Source CFD Software for Unsteady Vehicle Aerodynamics

机译:不稳定车辆空气动力学开源CFD软件能力研究

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A wind-tunnel experiment investigating unsteady flow phenomena around a generic notchback during single crosswind gusts is modeled with the open source CFD package OpenFOAM. The overall objective is to assess the capability and accuracy achieved by the simulation tool with respect to its potential for industrial usage. Transient yaw simulations apply a sliding interface between two computational grids, which are generated using the commercial software Spider. It is shown that a stable simulation process is feasible but requires long computation times. The physical accuracy of the investigated phenomena depends on the computational grid and on the turbulence model used. Although the obtained aerodynamic loads qualitatively correspond with the experimental results, the absolute values are not satisfactory when working with a coarse grid with 6.2 million cells. Then, characteristic surface pressure distributions and their transient development differ from the experimental data. Consequently, the phase shifts of the computed load transients against the model motion are incorrect. In contrast, steady calculations for constant yaw on a refined mesh with 10.9 million cells using alternative turbulence models deliver better results. A realizable k-ε model proves to predict the wake flow most accurately, since solely this model captures the dominating leeward inflow at the rear lights observed in the experiment. As a consequence, the estimation of aerodynamic loads being relevant for the driving stability of vehicles in gusty crosswind is largely improved by using this setup. Considering the additional computational resources needed for performing transient yaw simulations with the improved setup, this was not accomplished in this study.
机译:在单一横向阵风期间调查围绕通用反冲周围的不稳定流现象的风洞实验是用开源CFD封装OpenFoam建模的。整体目标是评估模拟工具在其工业用途潜力所实现的能力和准确性。瞬态偏航模拟应用了两个计算网格之间的滑动界面,这是使用商业软件蜘蛛产生的。结果表明,稳定的仿真过程是可行的,但需要长的计算时间。调查现象的物理精度取决于计算网格和使用的湍流模型。尽管所获得的空气动力学载荷与实验结果定性相对应,但是在使用具有620万个细胞的粗网格时,绝对值是不令人满意的。然后,特征表面压力分布及其瞬态发展与实验数据不同。因此,对模型运动的计算负载瞬变的相移是不正确的。相比之下,使用替代湍流模型的1090万个细胞的精细网格对恒定偏航的稳定计算提供了更好的结果。可实现的K-ε模型证明是最准确的预测唤醒流,因为该模型捕获了在实验中观察到的后灯处的主导的背风入流入。因此,通过使用该设置,基本上改善了对阵风交叉风中车辆的驾驶稳定性相关的空气动力学载荷的估计。考虑使用改进的设置执行瞬态偏航模拟所需的额外计算资源,这在本研究中未完成。

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