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Turbulence and sound-field POD analysis of a turbulent jet

机译:湍流射流的湍流和声场POD分析

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A Proper Orthogonal Decomposition (POD) is constructed for a Mach 0.9 turbulent jet using a well-validated direct numerical simulation database. Norms are defined based on near-field volume integrals of pressure, turbulence kinetic energy, streamwise velocity, and total enthalpy, two-dimensional integrals of streamswise velocity (to match experimental measurements), and far-field integrals of pressure over a sphere. We find substantially different POD modes for the different norms, and their efficiency at representing the full data is strongly dependent upon the norm and specifically which data we attempt to represent. To reproduce near-field turbulence statistics requires relatively few modes computed by a kinetic energy or pressure norm. However, a large number of the POD modes computed using a near-field norm are required to represent the sound field. The dominant near-field POD modes computed with either the near-field pressure norm or the sound field norm have the structure of wave packets.
机译:使用经过充分验证的直接数值模拟数据库为Mach 0.9湍流射流构造正确的正交分解(POD)。基于压力,湍流动能,水流速度和总焓的近场体积积分,水流速度的二维积分(以匹配实验测量值)和球体上压力的远场积分来定义标准。我们发现不同规范的POD模式实质上不同,并且POD模式代表完整数据的效率在很大程度上取决于规范,尤其是我们尝试表示的数据。要重现近场湍流统计数据,需要通过动能或压力范数计算出的模式相对较少。但是,需要使用近场范数计算的大量POD模式来表示声场。用近场压力范数或声场范数计算的主要近场POD模式具有波包的结构。

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