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Identification and Analysis of Turbulent Structures Around a Simplified Car Body

机译:简化车身周围湍流结构的识别与分析

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The analysis of turbulent flow around road vehicles can be very complex. Each geometrical detail releases turbulent structures; they interact each other and with those inside the car main wake. In bluff bodies, aerodynamic wake analysis is a basic step and an effective method to identify Coherent Structures (CS) making wake structure understanding easier. In this work the flow field around a simplified car model, the Ahmed Body, has been investigated to identify turbulent structures and to analyse their influence on vehicle drag. Three different geometrical configurations with 0°, 25° and 35° slant angles have been investigated by means of Reynolds Averaged Navier-Stokes equations (RANS). The Reynolds number has been set to 7.68 x 10~5, while the grid is structured and contains 3.5 x 10~6 cells. Two turbulence models, the k-ε and the Reynolds Stress Model (RSM), are also compared. CS visualization has been performed by the Jeong and Hussain method and it has been compared with the following common methodologies: static pressure minimum, vorticity magnitude, total pressure drop and second invariant of the velocity gradient. It will be shown that, among the visualization methods analysed, the one proposed by Jeong and Hussain seems to be the most efficient and effective
机译:公路车辆周围的湍流分析可能非常复杂。每个几何细节都会释放出湍流的结构。他们彼此互动,并与汽车主尾流内部的人互动。在钝体中,空气动力学尾流分析是识别相干结构(CS)的基本步骤和有效方法,可简化对尾流结构的理解。在这项工作中,研究了简化汽车模型Ahmed车身周围的流场,以识别湍流结构并分析其对车辆阻力的影响。借助于雷诺平均Navier-Stokes方程(RANS),研究了三种不同的0°,25°和35°倾斜角的几何构型。雷诺数已设置为7.68 x 10〜5,而网格是结构化的,包含3.5 x 10〜6个单元。还比较了两个湍流模型,即k-ε和雷诺应力模型(RSM)。 CS可视化已通过Jeong和Hussain方法执行,并且已与以下常用方法进行了比较:最小静压力,涡度大小,总压降和速度梯度的第二不变性。结果表明,在分析的可视化方法中,Jeong和Hussain提出的方法似乎是最有效和有效的方法。

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