A Frequency-Domain Filtering Technique for Triple Decomposition of Unsteady Turbulent Flow
A Frequency-Domain Filtering Technique for Triple Decomposition of Unsteady Turbulent Flow
复制标题
非定常湍流三重分解的频域滤波技术
DOI：
10.1115/1.2909998
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发表时间：
1992
影响因子：
2
通讯作者：
A. Kodal
中科院分区：
文献类型：
--
作者：
G. Brereton;A. Kodal
提出了一种新技术，用于将非定常湍流变量分解为有组织的非定常和湍流分量，与现有技术相比，该技术似乎具有一些显着的优势。该技术使用数据的功率谱估计来推导最佳频域滤波器，以确定数据时间序列的有组织和湍流分量。与相位平均技术相比，该方法可以被认为是用更一般的条件替换了在已知周期的连续循环中相同地再现有组织的运动的假设
A new technique is presented for decomposing unsteady turbulent flow variables into their organized unsteady and turbulent components, which appears to offer some significant advantages over existing ones. The technique uses power-spectral estimates of data to deduce the optimal frequency-domain filter for determining the organized and turbulent components of a time series of data. When contrasted with the phase-averaging technique, this method can be thought of as replacing the assumption that the organized motion is identically reproduced in successive cycles of known periodicity by a more general condition