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New Lagrangian diagnostics for characterizing fluid flow mixing

机译:新的拉格朗日诊断程序可用于表征流体混合

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摘要

A new kind of Lagrangian diagnostic family is proposed and a specific form of it is suggested for characterizing mixing: the extreme (maximal/minimal) extent of a trajectory and some of its variants. It enables the detection of coherent structures and their dynamics in two- (and potentially three-) dimensional unsteady flows in both bounded and open domains. Its computation is simple and provides new insights regarding the mixing properties on both short and long time scales and on both spatial plots and distribution diagrams. We demonstrate its applicability to two dimensional flows using two toy models and a data set of surface currents from the South Atlantic. (C) 2014 AIP Publishing LLC.
机译:提出了一种新型的拉格朗日诊断系列,并提出了其特定形式来表征混合:轨迹的极端(最大/最小)范围及其某些变体。它使得能够在有界域和开放域中的二维(可能是三维)非稳态流中检测相干结构及其动力学。它的计算很简单,并提供了有关短期和长期尺度以及空间图和分布图上的混合特性的新见解。我们使用两个玩具模型和来自南大西洋的地表电流数据集,证明了其对二维流的适用性。 (C)2014 AIP Publishing LLC。

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