Two-time statistics of inertial particles dynamics in wind tunnel grid generated turbulence

M. N. Qureshi, M. Bourgoin, C. Baudet, A. Cartellier, Y. Gagne
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Abstract

The two-time statistics of finite-sized inertial particles dynamics in grid generated wind tunnel turbulence are discussed in this paper. For different sets of particle normalized sizes ranging from 12η → 26η (η is the Kolmogorov's length scale of the flow); and densities normalized with that of air varying from 1 to 70, the Lagrangian velocity signals are recorded using Ultrasonic Doppler Velocimetry (UDV). These signals are then processed employing Maximum Likelihood Algorithm (MLA). The Lagrangian velocity increments PDF of all the data sets show that particle dynamics is intermittent. The signature of intermittency as determined through time evolution of flatness of Lagrangian Velocity is noticed to depend upon particle density. The Lagrangian integral time scale for same particle size depends upon the particle's density, with heavier particles having longer correlation times. From acceleration autocorrelations it is found that the particle's response time to the turbulent forcing τexp is always of the order of Kolmogorov's time scale. Thus, an effective or experimental stokes number Steff is defined which is based upon the actual response time of the particles τexp. For our data sets this effective stokes number varies from 0.1 → 0.2.
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风洞网格中惯性粒子动力学的二次统计
本文讨论了网格风洞湍流中有限尺寸惯性粒子动力学的二次统计问题。在12η→26η (η为流动的Kolmogorov长度尺度)范围内,不同组的归一化粒径;用超声多普勒测速仪(UDV)记录拉格朗日速度信号。然后使用最大似然算法(MLA)对这些信号进行处理。所有数据集的拉格朗日速度增量PDF表明粒子动力学是间歇性的。通过拉格朗日速度平整度随时间的变化所确定的间断特征与粒子密度有关。相同粒径的拉格朗日积分时间尺度取决于粒子的密度,较重的粒子具有较长的相关时间。从加速度自相关中发现粒子对湍流强迫τexp的响应时间总是柯尔莫哥洛夫时间尺度的数量级。因此,根据粒子的实际响应时间τexp定义了有效或实验斯托克斯数Steff。对于我们的数据集,有效斯托克数从0.1→0.2变化。
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