Modelling and synthesizing turbulence with multi-scale coherent vortices
Zishuo Han, Weiyu Shen, Yue Yang

TL;DR
This paper introduces a multi-scale vortex-based model called woven turbulence that captures key statistical and structural features of turbulence efficiently, enabling fast synthesis of turbulent fields with minimal computational resources.
Contribution
The paper presents a novel multi-scale vortex model that integrates statistical and structural aspects of turbulence, providing insights into vortex density invariance and intermittency, and offers a highly efficient turbulence synthesis method.
Findings
Vortex density invariance aligns with Kolmogorov's -5/3 law.
A critical vortex density matches real turbulence intermittency.
The method achieves high Reynolds number turbulence simulation with low computational cost.
Abstract
Turbulence is a complex system exhibiting both universal statistical features and prominent coherent structures. We model turbulence using coherent vortices distributed within a multi-scale statistical framework, termed `woven turbulence'. These entangled vortices are generated based on fractional Brownian bridges, with scale-dependent parameters set by dimensional analysis and geometric similarity. By integrating statistical and structural modeling, our approach naturally captures both the universal statistical features of turbulence and its coherent vortex structures. The spatial filling fraction of vortices in woven turbulence, termed `vortex density', is tunable, enabling us to investigate the statistical-structural interaction and uncover two concise physical insights of turbulence. First, the invariance of the hierarchical vortex density across scales corresponds to Kolmogorov's…
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Taxonomy
TopicsFluid Dynamics and Turbulent Flows · Quantum chaos and dynamical systems · Orbital Angular Momentum in Optics
