二维光滑粒子流体力学研究不同雷诺数下流体粒子的混沌平流

IF 2.8 3区 工程技术 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Domenico Davide Meringolo, Sergio Servidio, Claudio Meringolo, Francesco Aristodemo, Pasquale Giuseppe F. Filianoti, Paolo Veltri, Vincenzo Carbone
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引用次数: 0

摘要

我们通过二维(2D)简化几何的光滑粒子流体动力学(SPH)进行湍流模拟。从一个简单的泰勒-格林涡开始,我们改变雷诺数,随着流动动力学向湍流的转变。在随机初始条件下再现了相同的雷诺数,这表明更容易触发湍流。为了表征这种转变,对粒子距离分离进行了统计分析,结果表明,在粘性较强的情况下,初始旋涡的大尺度主要结构保留到级联中,这是低阶混沌系统的典型特征。相反,在高雷诺数时,初始结构被破坏,系统经历湍流。在这种情况下,SPH粒子表现出经典的理查德森湍流定律,并具有爆炸性的粒子对偏离。这项工作可能与二维流体力学的应用有关,以理解混沌-湍流的转变。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Chaotic advection of fluid particles at different Reynolds numbers by two-dimensional smoothed particle hydrodynamics

We perform turbulence simulations through the smoothed particle hydrodynamics (SPH) in a two-dimensional (2D) reduced geometry. By starting from a simple Taylor–Green vortex, we vary the Reynolds number, following the transition of the flow dynamics to turbulence. The same Reynolds numbers are reproduced for random initial conditions, which show an easier triggering of turbulence. The statistical analysis of the pair-particles distance separation is performed in order to characterize such transition, revealing that, in the more viscous case, the large-scale main structures of the initial vortex survive to the cascade, as typical of low-order, chaotic systems. At high Reynolds numbers, instead, the initial structure is broken and the system experiences turbulence. In this regime, the SPH particles manifest the classical Richardson law of turbulence, with an explosive pair-particles departure. This work might be relevant for 2D applications of hydrodynamics, to understand the chaos-turbulence transitions.

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来源期刊
Computational Particle Mechanics
Computational Particle Mechanics Mathematics-Computational Mathematics
CiteScore
5.70
自引率
9.10%
发文量
75
期刊介绍: GENERAL OBJECTIVES: Computational Particle Mechanics (CPM) is a quarterly journal with the goal of publishing full-length original articles addressing the modeling and simulation of systems involving particles and particle methods. The goal is to enhance communication among researchers in the applied sciences who use "particles'''' in one form or another in their research. SPECIFIC OBJECTIVES: Particle-based materials and numerical methods have become wide-spread in the natural and applied sciences, engineering, biology. The term "particle methods/mechanics'''' has now come to imply several different things to researchers in the 21st century, including: (a) Particles as a physical unit in granular media, particulate flows, plasmas, swarms, etc., (b) Particles representing material phases in continua at the meso-, micro-and nano-scale and (c) Particles as a discretization unit in continua and discontinua in numerical methods such as Discrete Element Methods (DEM), Particle Finite Element Methods (PFEM), Molecular Dynamics (MD), and Smoothed Particle Hydrodynamics (SPH), to name a few.
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