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首页> 外文期刊>Experimental Thermal and Fluid Science: International Journal of Experimental Heat Transfer, Thermodynamics, and Fluid Mechanics >Estimation of time-resolved turbulent fields through correlation of non-time-resolved field measurements and time-resolved point measurements
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Estimation of time-resolved turbulent fields through correlation of non-time-resolved field measurements and time-resolved point measurements

机译:通过与非时间分辨现场测量和时间分辨点测量的相关性的相关性估计时间分辨湍流场

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摘要

A method for the estimation of time-resolved turbulent fields from the combination of non-time-resolved field measurements and time-resolved point measurements is proposed. The approach poses its fundaments on a stochastic estimation based on the Proper Orthogonal Decomposition (POD) of the field measurements and of the time-resolved point measurements. The correlation between the temporal modes of the field measurements and the temporal modes of the point measurements at synchronized instants is evaluated; this correlation is extended to the "out-of-sample" time instants for the field measurements, i.e. those in which field data are not available. In the "out-of-sample" instants, POD modes time coefficients are estimated and the flow fields are reconstructed. The proposed method extends the work by Hosseini et al. (Experiments in fluids, 56, 2015) by proposing a truncation criterion which allows removing the uncorrelated part of the signal from the reconstruction of the flow fields. The truncation is fundamental in case of turbulent flow fields, in which a great wealth of scales is involved, thus reducing the correlation between the probe signal and the field measurements. The threshold selection is based on the random distribution of the uncorrelated signal. Additionally, the selection of the probe time-span to perform the POD analysis on the probe signal is discussed. The method is validated with a synthetic test case and an experimental one. A Direct Numerical Simulation database of a channel flow is selected since its spectral richness is expected to represent a significant challenge for this method. This dataset allows isolating the effects of correlation between field measurements and point measurements, removing issues connected to noise contamination or to the finite spatial resolution which would inevitably affect experimental data. The experimental test case is the wake-flow behind a high-angle-of-attack airfoil with a relatively small number of samples,
机译:提出了一种从非时间分辨现场测量和时间分辨点测量的组合估计时间分辨湍流场的方法。该方法在基于现场测量的适当正交分解(POD)和时间分辨点测量的适当正交分解(POD)对随机估计的基本。评估现场测量的时间模式与同步时刻点测量的时间模式之间的相关性;这种相关性扩展到现场测量的“样本”时间瞬间,即现场数据不可用的时间瞬间。在“样本外”时刻,估计POD模式时间系数,并且重建流场。该方法通过Hosseini等人延伸了工作。 (通过提出截断标准,通过提出允许从流场的重建移除信号的不相关部分的截断标准来实现截断标准。在湍流流场的情况下,截断是基本的,其中涉及大量大量的尺度,从而降低了探头信号与场测量之间的相关性。阈值选择基于不相关信号的随机分布。另外,讨论了探针时间跨度以对探针信号进行POD分析的选择。该方法用合成测试案例和实验方法验证。选择了通道流的直接数值模拟数据库,因为预期其光谱丰富度是对该方法表示重大挑战。该数据集允许隔离现场测量和点测量之间的相关性,从而消除连接到噪声污染的问题或者是不可避免地影响实验数据的有限空间分辨率。实验测试案例是具有相对较少数量的样品的高角度翼型的唤醒流动,

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