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arXiv 2501.09421physics.flu-dyn
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弹性湍流中的不确定性

Uncertainty in Elastic Turbulence

Jack R. C. King, Robert J. Poole, Cláudio P. Fonte, Steven J. Lind

AI总结:

研究弹性湍流中不确定性演化机制,揭示不同阶段的不确定性增长规律及影响因素。

摘要:

弹性湍流可能导致流体阻力、混合和热传递增加。其控制——无论是抑制还是促进——具有显著潜力,社区正在持续努力以提高我们的理解。本文探讨了弹性湍流中不确定性的动态,受Ge等人(2023)在《流体力学》977:A17中应用于惯性湍流的方法启发。我们推导了不确定性度量演化的方程,提供了对不确定性增长机制的见解。通过数值实验,我们识别出四种不确定性演化的阶段,分别由I)快速转移到大尺度,大尺度增长率为τ⁶(其中τ代表时间),II)不确定性的耗散减少,III)所有尺度上的指数增长,以及IV)饱和。这些阶段由对流和聚合物贡献(倾向于增加不确定性)与粘性、松弛和耗散效应(倾向于减少不确定性)以及惯性贡献之间的相互作用所支配。在弹性湍流中,降低雷诺数会增加短时间内的不确定性,但对后期不确定性增长影响不大。在后期,不确定性增长随着韦斯彭格数、聚合物扩散率的降低以及最大长度尺度的对数而增加,因为大流量特征调整了对流和松弛效应的平衡。这些发现为弹性湍流的动力学提供了见解,提供了一种新的分析粘弹性流不稳定性的方法。

英文摘要:

Elastic turbulence can lead to to increased flow resistance, mixing and heat transfer. Its control -- either suppression or promotion -- has significant potential, and there is a concerted ongoing effort by the community to improve our understanding. Here we explore the dynamics of uncertainty in elastic turbulence, inspired by an approach recently applied to inertial turbulence in Ge et al. (2023) \textit{J. Fluid Mech.} 977:A17. We derive equations for the evolution of uncertainty measures, yielding insight on uncertainty growth mechanisms. Through numerical experiments, we identify four regimes of uncertainty evolution, characterised by I) rapid transfer to large scales, with large scale growth rates of $τ^{6}$ (where $τ$ represents time), II) a dissipative reduction of uncertainty, III) exponential growth at all scales, and IV) saturation. These regimes are governed by the interplay between advective and polymeric contributions (which tend to increase uncertainty), viscous, relaxation and dissipation effects (which reduce uncertainty), and inertial contributions. In elastic turbulence, reducing Reynolds number increases uncertainty at short times, but does not significantly influence the growth of uncertainty at later times. At late times, the growth of uncertainty increases with Weissenberg number, with decreasing polymeric diffusivity, and with the logarithm of the maximum length scale, as large flow features adjust the balance of advective and relaxation effects. These findings provide insight into the dynamics of elastic turbulence, offering a new approach for the analysis of viscoelastic flow instabilities.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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