论文标题
壁诱导的各向异性对通道流中湍流混合的影响：基于网络的分析
Wall-induced anisotropy effects on turbulent mixing in channel flow: A network-based analysis
论文作者
论文摘要
根据复杂的网络形式主义，在拉格朗日框架中研究了动荡的混合。我们考虑在$re_τ= 950 $中模拟的湍流通道内的被动非固体颗粒的运动。构建时间依赖性网络是为了评估示踪剂在薄壁平行的层之间的转移，这些墙壁平行的层将通道沿壁正常方向划分。通过这样做，我们能够评估湍流动态引起的空间和时间复杂性及其对混合过程的影响。这种方法突出了湍流结构的小规模特征以及由壁诱导的各向异性确定的较大规模效应的影响。复杂的网络与拉格朗日的湍流描述相结合，可有效地提供对不均匀的湍流和混合的新见解。
Turbulent mixing is studied in the Lagrangian framework with an approach based on the complex network formalism. We consider the motion of passive, noninertial particles inside a turbulent channel simulated at $Re_τ = 950$. The time-dependent network is built to evaluate the transfer of tracers between thin wall-parallel layers which partition the channel in the wall-normal direction. By doing so, we are able to assess the spatial and temporal complexities arising from turbulence dynamics and their influence on the mixing process. This approach highlights the effects of small-scale features of turbulent flow structures and also the larger scale effects determined by wall-induced anisotropy. Complex networks, coupled to the Lagrangian description of turbulence, are effective in providing novel insights into inhomogeneous turbulence and mixing.
