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Spectral Density and Time Scales of Velocity Fluctuations in the Wake of a Simplified Car Model

机译:简化汽车模型之后的速度波动的光谱密度和时间尺度

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Although CFD is considered a well-established tool in the development of car aerodynamics it is obvious that there is still a strong demand on verification and validation of schemes and models involved in the numerical codes. This is reflected by the constantly high number of publications dealing with the matter. One of the test cases most often adopted for the purpose is the generic car model proposed by Ahmed et al. [1]. This is because of its geometrical simplicity and the realistic complex flow field which is reproducibly generated in its wake and makes it a selective test case. Another reason is the availability of comprehensive experimental data sets, amongst others the one we reported in an earlier paper [2]. The velocity data covers the complete flow field around the model but focuses on the wake region. Besides mean values it provides turbulence quantities such as Reynolds stresses and other higher order statistical moments measured using laser-Doppler anemometry (LDA). After reviewing the results of numerous CFD approaches and comparing those to the experimental data it turns out that most deficiencies arise from the failing prediction of detachment and reattachment of the flow on the rear body at a slant angle of 25°. A closer analysis reveals a severe underestimation of the fluctuating quantities in the wake and most notably in the shear layers between the outer flow and the recirculation region. This fact in turn can be directly associated with the difficulties in predicting reattachment. Because of these findings further LDA measurements with high spectral resolution were performed at selected locations. One major aim of the study was to identify the time scales of the fluctuations and in this way to come to suggestions what measures are advisable to reduce the uncertainties both in CFD and experimental results.
机译:虽然CFD被认为是汽车空气动力学发展的良好工具,但很明显,仍然对数值代码中涉及的方案和模型的验证和验证仍有强烈需求。这是由处理此事的不断数量的出版物反映。最常用于此目的最常采用的测试用例之一是Ahmed等人提出的通用汽车模型。 [1]。这是因为它的几何简单性和现实复杂的流场,它在其唤醒中可重复产生并且使其成为一种选择性的测试用例。另一个原因是综合实验数据集的可用性,其中包括在早期纸张中报告的那个[2]。速度数据覆盖模型周围的完整流场,但侧重于唤醒区域。除了平均值之外,它提供了湍流量,例如使用激光多普勒风速(LDA)测量的reynolds应力和其他高阶统计矩。在审查众多CFD方法的结果并将那些与实验数据进行比较后,事实证明,大多数缺陷都是由于在25°的倾斜角度的倾斜角度的脱离预测和重新附接的情况下出现了大多数缺陷。仔细的分析揭示了严重低估了唤醒中的波动量,最值得注意的是在外流和再循环区域之间的剪切层中。反过来的这个事实可以直接与预测重新附着的困难相关联。由于这些发现,在所选位置执行具有高光谱分辨率的LDA测量。该研究的一个主要目的是确定波动的时间尺度,并以这种方式来提出建议,建议在CFD和实验结果中降低不确定性的措施。

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