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arXiv 0801.4266physics.flu-dyn
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湍流模型中的拉伸

Stretching in a model of a turbulent flow

Andrew W. Baggaley, Carlo F. Barenghi, Anvar Shukurov

摘要:

使用多尺度,混沌流称为KS模型的湍流,我们调查的依赖性的李雅普诺夫指数的各种特性的流动。我们发现,KS模型产生的雷诺数和最大李雅普诺夫指数之间的幂律关系,这是类似的湍流具有相同的能量谱。结果表明,李雅普诺夫指数对大涡对小涡的平流作用敏感,这可以用最小尺度的拉格朗日关联时间来解释。我们还涉及流内的停滞点的数量的最大李雅普诺夫指数,并建议这两个特性之间的线性关系。

英文摘要:

Using a multi-scaled, chaotic flow known as the KS model of turbulence, we investigate the dependence of Lyapunov exponents on various characteristics of the flow. We show that the KS model yields a power law relation between the Reynolds number and the maximum Lyapunov exponent, which is similar to that for a turbulent flow with the same energy spectrum. Our results show that the Lyapunov exponents are sensitive to the advection of small eddies by large eddies, which can be explained by considering the Lagrangian correlation time of the smallest scales. We also relate the number of stagnation points within a flow to the maximum Lyapunov exponent, and suggest a linear dependence between the two characteristics.

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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