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arXiv 1702.02365physics.flu-dynnlin.CD
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无阻流模式的拉格朗日流网络法

Lagrangian Flow Network approach to an open flow model

Enrico Ser-Giacomi, Victor Rodriguez-Mendez, Cristobal Lopez, Emilio Hernandez-Garcia

摘要:

来自网络理论的概念和工具,即所谓的拉格朗日流网络框架,已成功地用于获得封闭流体流的输运的粗粒度描述。在这里,我们探讨了这种方法的应用开放混沌流,并检查它与模型开放流,即射流与局部波扰动的数值结果。我们发现,具有高值的出度和有限时间熵的网络节点在向前的时间方向确定的位置的混沌鞍及其稳定的流形,而具有高的入度和向后的有限时间熵的节点突出的位置的鞍及其不稳定的流形。与周期轨道的存在相关联的循环聚类系数在鞍点本身的位置处取非零值。

英文摘要:

Concepts and tools from network theory, the so-called Lagrangian Flow Network framework, have been successfully used to obtain a coarse-grained description of transport by closed fluid flows. Here we explore the application of this methodology to open chaotic flows, and check it with numerical results for a model open flow, namely a jet with a localized wave perturbation. We find that network nodes with high values of out-degree and of finite-time entropy in the forward-in-time direction identify the location of the chaotic saddle and its stable manifold, whereas nodes with high in-degree and backwards finite-time entropy highlight the location of the saddle and its unstable manifold. The cyclic clustering coefficient, associated to the presence of periodic orbits, takes non-vanishing values at the location of the saddle itself.

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