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首页> 外文期刊>International Journal of Heat and Fluid Flow >Intermittency and stochastic modeling of hydrodynamic pressure fluctuations in the near field of compressible jets
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Intermittency and stochastic modeling of hydrodynamic pressure fluctuations in the near field of compressible jets

机译：可压缩射流近场流体动力压力波动的间歇性和随机模拟

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摘要

The intermittent statistics of the pressure fluctuations measured in the near field of a compressible jet are investigated under several flow conditions. An experiment is carried out in a semi-anechoic chamber on a single stream compressible jet at Mach numbers varying from 0.5 to 0.9 and measuring the fluctuating pressure in several positions in the near field. The main quantities analyzed are the intermittent time and the energy amplitude of events that are extracted from the experimental data through a wavelet-based tracking algorithm. As an extension of a previous paper (Camussi et al., 2017), low order statistical moments (mean and variance) and Probability Distribution Functions are parametrized in terms of three relevant quantities characterizing the jet flow physics: the Mach number, the radial distance from the jet axis and the axial position. It is observed that the non-dimensional statistical quantities are weakly dependent upon the flow conditions allowing for simple stochastic models to be introduced on the basis of suitable fittings of averaged statistical properties and of the Probability Distribution Functions.
机译：在几种流动条件下，对可压缩射流近场中测得的压力波动的间歇统计进行了研究。在半波暗室中的单流可压缩射流上进行实验，其马赫数在0.5到0.9之间变化，并测量近场中几个位置的脉动压力。分析的主要量是间歇时间和事件的能量振幅，这些事件是通过基于小波的跟踪算法从实验数据中提取的。作为先前论文的扩展（Camussi et al。，2017），低阶统计矩（均值和方差）和概率分布函数根据表征射流物理特性的三个相关量进行了参数化：马赫数，径向距离从射流轴线和轴向位置开始。可以观察到，无量纲统计量在一定程度上取决于流动条件，从而允许在平均统计属性和概率分布函数的适当拟合的基础上引入简单的随机模型。

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