Direct Numerical Simulation and Rank Analysis of Two-Dimensional Kolmogorov-type Vortex Flows

The article is devoted to direct numerical modeling of viscous weakly compressible Kolmogorov-type flows in a square calculation cell. Several different conditions are observed. One of them is dominated by a large vortex with a well-defined average profile. In another state, strong chaotic large-scale fluctuations prevail. In the third state, laminar flow is observed. The nature of the realized state depends on the coefficient of kinematic viscosity of the liquid, the amplitude of the external pumping force, and the bottom friction coefficient. At constant values of the kinematic viscosity and the wave vector, a small value of the friction coefficient leads to the appearance of the first state. As the bottom friction coefficient increases, there is a transition from a flow with one large vortex to a laminar flow through a series of states with several unstable vortices, which we call chaotic flow. A rank analysis of the values of vorticity, energy, and pressure, as well as the frequency of their occurrence, is proposed. It is shown that for chaotic, vortex, laminar and transitional regimes of fluid motion, the inflection point in the rank frequency distributions of the above fields is a universal characteristic for classifying various types of flow.

Institutions

Publication Details

Journal
Supercomputing Frontiers and Innovations
Published
2025-03-01
DOI
https://doi.org/10.14529/jsfi250104
Primary Topic
Fluid Dynamics and Turbulent Flows
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Direct Numerical Simulation and Rank Analysis of Two-Dimensional Kolmogorov-type Vortex Flows

Supercomputing Frontiers and Innovations
Fluid Dynamics and Turbulent Flows
article

Direct Numerical Simulation and Rank Analysis of Two-Dimensional Kolmogorov-type Vortex Flows

article en

Abstract

The article is devoted to direct numerical modeling of viscous weakly compressible Kolmogorov-type flows in a square calculation cell. Several different conditions are observed. One of them is dominated by a large vortex with a well-defined average profile. In another state, strong chaotic large-scale fluctuations prevail. In the third state, laminar flow is observed. The nature of the realized state depends on the coefficient of kinematic viscosity of the liquid, the amplitude of the external pumping force, and the bottom friction coefficient. At constant values of the kinematic viscosity and the wave vector, a small value of the friction coefficient leads to the appearance of the first state. As the bottom friction coefficient increases, there is a transition from a flow with one large vortex to a laminar flow through a series of states with several unstable vortices, which we call chaotic flow. A rank analysis of the values of vorticity, energy, and pressure, as well as the frequency of their occurrence, is proposed. It is shown that for chaotic, vortex, laminar and transitional regimes of fluid motion, the inflection point in the rank frequency distributions of the above fields is a universal characteristic for classifying various types of flow.

Supercomputing Frontiers and InnovationsVol. 12(1)
Institute for Computer Aided Design (RU), Joint Institute for High Temperatures (RU)
Ministry of Science and Higher Education of the Russian Federation, Russian Academy of Sciences
Openalex Percentile: Top 89%
Fluid Dynamics and Turbulent Flows
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.