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An adaptive wavelet method compared to non-linearly filtered pseudo-spectral methods for two-dimensional turbulence

机译:与用于二维湍流的非线性滤波伪光谱方法相比,自适应小波法

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Wavelet methods have been associated with turbulence, almost since their invention, to analyze the structure and dynamics of the flow, for a recent review we refer the reader to [1]. These studies have shown that the strongest modes of the wavelet transform of a two-dimensional turbulent flow represent the coherent structures (e.g. vortices), while the weaker modes represent the unorganized background flow, Furthermore, it has been found that the coherent vortices can be well represented by only avery few wavelet modes. These observations suggest that wavelets could be an efficient basis for two-dimensional turbulent flows since the dynamics of such flows are largely controlled by their coherent vortices. In the present paper we briefly sketch an adaptive wavelet method and compare it with filtered spectral methods for the generic case of a three vortex interaction. With respect to previous work [3] the nonlinear term is now also evaluated fullyadaptively using a partial collocation technique.
机译:小波方法已经与湍流相关联,几乎自发明以来,分析流程的结构和动态,最近的评论我们将读者称为[1]。这些研究表明,二维湍流的小波变换的最强模式代表了相干结构(例如涡流),而较弱的模式则表示未经用化的背景流程,而且已经发现它可以是相干涡流仅由valley几个小波模式表示。这些观察结果表明,由于这种流动的动态基本上由其连贯的涡流控制,小波可以是二维湍流流动的有效基础。在本文中,我们简要介绍了一种自适应小波法,并将其与过滤的光谱方法进行比较,用于三维涡流相互作用的通用情况。关于先前的工作[3]现在还使用部分搭配技术完全评估非线性术语。

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