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Application of the Vortex Identification Algorithms in the Study of the Shear Layer in A 3/4 Open Jet Automotive Wind Tunnel

机译:涡旋识别算法在3/4开放式喷射汽车风洞中剪切层研究中的应用

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By means of particle image velocimetry(PIV) measurements, this paper uses vortex identification algorithms to find and analyze the coherent structures in the shear layer region of a 1:15 scaled 3/4 open jet automotive wind tunnel with a high Reynolds number(about 106), referring to SAWTC’s AAWT. The proper orthogonal decomposition(POD) is used to process the PIV experimental data to reconstruct the velocity fields. Based on the vortex identification functions, the locations of the center, the rotation direction and the radius of vortex can be computed. Furthermore, this paper uses the statistical method to study the regularities of distribution of these vortexes in a two-dimensional plane, and identify the vortex pairing process in the shear layer region. This paper also chooses different vortex identification algorithms to find the most accurate and suitable algorithms.
机译:借助于粒子图像VELOCIMETRY(PIV)测量,本文采用涡旋识别算法来查找和分析剪切层区域的相干结构,缩放的3/4开口喷射汽车风隧道的剪切层区域,具有高雷诺数(关于106),参考SAWTC的AAWT。适当的正交分解(POD)用于处理PIV实验数据以重建速度场。基于涡流识别功能,可以计算中心,旋转方向和涡旋半径的位置。此外,本文使用统计方法研究二维平面中这些涡旋的分布规律,并识别剪切层区域中的涡流配对过程。本文还选择了不同的涡旋识别算法,以找到最准确和合适的算法。

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