正常和超流氦中惯性驱动湍流的多尺度能量收支

F. Sy, P. Diribarne, B. Rousset, M. Gibert, M. Bourgoin
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引用次数: 3

摘要

在本文中,我们提出了一种新的流体力学实验,使用液体$^4$He。典型振荡网格利用其法向(He~I)或超流(He~II)相对流动进行惯性强迫,产生统计学上静止的湍流。我们利用二维拉格朗日粒子跟踪在中空玻璃微球上表征了流动的湍流特性。对于示踪粒子,无论是在He~I相还是He~II相,粒子位置的Voronoi镶嵌都没有显示出明显偏离随机泊松过程。粒子的位置以高时间分辨率跟踪,允许在积分和惯性尺度上解决速度波动,同时适当地评估噪声贡献。此外,我们区分粒子的位置(通过卷积高斯核),以获得小尺度的量,如加速度。利用这些测量量和经典均匀各向同性湍流(HIT)的形式来执行跨尺度的能量预算,我们提取了大尺度上的能量注入率,通过惯性尺度级联的能量通量,直到小尺度上它被耗散。我们发现,在这种惯性驱动的湍流中,无论流体的正常状态还是超流体状态,不同尺度上的能量估计都是相互兼容的,并且与文献中报道的正常流体的振荡网格湍流结果一致。最大的差异出现在较小的尺度上,此时信噪比难以控制,二维测量结果受到流体三维特性的影响。这促使我们将未来的实验项目重点放在小尺度、低噪声和3D测量上。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multiscale energy budget of inertially driven turbulence in normal and superfluid helium
In this paper we present a novel hydrodynamic experiment using liquid $^4$He. The flow is forced inertially by a canonical oscillating grid using either its normal (He~I) or superfluid (He~II) phase, generating a statistically stationary turbulence. We characterise the turbulent properties of the flow using 2D Lagrangian Particle tracking on hollow glass micro-spheres. As expected for tracer particles, the Voronoi tessellation on particle positions does not show a significant departure from a random Poisson process neither in He~I nor He~II phase. Particles' positions are tracked with high temporal resolution, allowing to resolve velocity fluctuations at integral and inertial scales while properly assessing the noise contribution. Additionally, we differentiate the particles' positions (by convolution with Gaussian kernels) in order to access small scale quantities like acceleration. Using these measured quantities and the formalism of classical Homogeneous Isotropic Turbulence (HIT) to perform an energy budget across scales we extract the energy injection rate at the large scale, the energy flux cascading through inertial scales, down to small scales at which it is dissipated. We found that in such inertially driven turbulence, regardless of the normal or superfluid state of the fluid, estimates of energy at the different scales are compatible with each other and consistent with oscillating grid turbulence results reported for normal fluids in the literature. The largest discrepancy shows up at small scales where the signal to noise ratio is harder to control and where the 2D measurement is contaminated by the 3D nature of the flow. This motivates to focus future experimental projects towards small scales, low noise and 3D measurements.
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