POD-based Hydrodynamical Structures Visualization in Flows with an Internal Wave Attractor

Q4 Computer Science Scientific Visualization Pub Date : 2023-06-01 DOI:10.26583/sv.15.2.11
S. Elistratov
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引用次数: 0

Abstract

Hydrodynamical structure attending a flow can be hid and hardly to reveal. One of the methods to find them is to use mode decomposition (such as Proper orthogonal decomposition, POD). The method represents the field given as a series of spatial modes multiplied by corresponding temporal coefficients. In the article the method is discussed applyingly to a complex flow with a wave attractor structure. Attractor modes present structured vortex-like figure which cannot be claimed to be aleatory. As it turns out POD modes are not just a formal decomposition but have a physical origin: they are connected with instability cascade minor frequencies, as spectral investigation shows. Another consequence of that is that one of the collateral structure maximum can be visible. This proposition is proven as the structure is found to be visible in the flow itself.
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基于pod的内波吸引子流中流体动力结构可视化
参与流动的水动力结构可以被隐藏,而且很难被揭示。找到它们的方法之一是使用模态分解(如固有正交分解,POD)。该方法将给定的场表示为一系列空间模态乘以相应的时间系数。本文讨论了该方法在具有波吸引子结构的复杂流中的应用。吸引子模式呈现出结构化的涡状图形,这种图形不能被认为是随机的。事实证明,POD模态不仅是一种形式分解,而且有一个物理起源:正如频谱研究所显示的那样,它们与不稳定级联小频率有关。这样做的另一个后果是,其中一个抵押品结构的最大值可以是可见的。当发现该结构在流本身中可见时,这一命题得到了证明。
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来源期刊
Scientific Visualization
Scientific Visualization Computer Science-Computer Vision and Pattern Recognition
CiteScore
1.30
自引率
0.00%
发文量
20
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