Turbulence generation supported by an inverse energy transfer through a zig-zag pattern

通过锯齿形模式的逆能量传递来产生湍流

阅读:1

Abstract

A known feature of turbulent flow in any setting, be it in ocean currents or smoke rising from a fire, is the presence of vortices on a range of scales. As turbulence develops, kinetic energy is transferred between these different scales, leading to a power law distribution of spectral energy, of a specific form established nearly a century ago. While a universally accepted mechanistic model of this process is still missing, the long-standing dominating idea is that of a turbulent energy cascade where large vortices break down into smaller ones, to successively develop finer scales until reaching a smallest scale, where energy is dissipated by viscosity. However, we here present observations of a turbulent energy spectrum developing through an alternative process. Specifically, the following problem is addressed: how is turbulence generated from the given initial condition, and what flow structures appear that may help explain the emergence of the energy spectrum? We show, using a computer simulation supported by a stability analysis, a turbulent energy spectrum emerging first at small scales and progressively extending to larger scales. This coincides in time with the formation of vortex filaments through vortex stretching on the smallest resolvable scale, and their subsequent rearrangement into recursive zig-zag patterns. It is hypothesized that the formation of this pattern leads to an inverse energy transfer from small to large scales, contributing to the development of the power law energy distribution. This description of a turbulent energy spectrum forming initially from small scales, potentially in part due to the formation of vortex filaments and their zig-zag rearrangement, rather than a forward cascade through a break-down of vortices from large scales to small, is novel to the best of our knowledge. These findings provide critical new perspectives on the development of turbulence in fluid flow, relevant in scenarios ranging from blood flow in the heart, to fuel mixing, aerodynamics, and atmospheric turbulence.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。