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arXiv 2501.18985physics.flu-dyn

湍流中拉格朗日速度的功率谱密度与相干涡旋层级之间的关系

Relationship between the power spectral density of the Lagrangian velocity and the hierarchy of coherent vortices in turbulence

Yusuke Koide, Susumu Goto

AI总结:

本文通过直接数值模拟研究湍流中拉格朗日速度功率谱密度的形成机制,提出尺度分解方法揭示最大尺度流会污染小尺度涡旋的Kolmogorov标度,导致拉格朗日惯性区变窄,且该效应为拉格朗日速度特有。

摘要:

我们在周期立方体中对充分发展的湍流进行直接数值模拟,以研究拉格朗日速度功率谱密度的形成机制。我们比较了不同强迫方法和雷诺数下湍流的拉格朗日速度功率谱密度。这种系统比较表明,在狭窄的高频区域可观察到普适行为,而源于强迫方法的非普适性则广泛出现在低频区域。为了从湍流中相干结构层级角度揭示频谱的形成机制,我们提出了一种拉格朗日速度尺度分解方法,使我们能够评估不同尺度涡旋的贡献。该尺度分解分析直接表明,由外力驱动的最大尺度流会污染由小尺度涡旋在惯性区形成的拉格朗日速度谱的Kolmogorov标度,从而导致狭窄的拉格朗日惯性区。此外,我们通过证明欧拉速度的功率谱密度对强迫方法不敏感,提供了这种最大尺度流的显著效应是拉格朗日速度特有的证据。

英文摘要:

We conduct direct numerical simulations of developed turbulence in a periodic cube to investigate the formation mechanism of the power spectral density of the Lagrangian velocity. We compare the power spectral density of the Lagrangian velocity of turbulent flows with different forcing methods and Reynolds numbers. This systematic comparison demonstrates that universal behavior is observed in a narrow high-frequency regime, whereas non-universality originating from the forcing method broadly appears in a low-frequency regime. To reveal the formation mechanism of the spectra in terms of the hierarchy of coherent structures in turbulence, we propose a scale-decomposition method for the Lagrangian velocity, which enables us to evaluate the contribution of vortices at different scales. This scale-decomposition analysis directly demonstrates that the largest-scale flows driven by the external force can contaminate the Kolmogorov scaling of the Lagrangian velocity spectra formed by small-scale vortices in the inertial range, thus leading to the narrow Lagrangian inertial range. Furthermore, we provide evidence that this remarkable effect by the largest-scale flows is specific to the Lagrange velocity by demonstrating that the power spectral density of the Eulerian velocity is less sensitive to the forcing method.

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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