A. N. Doludenko, I. V. Kolokolov, V. V. Lebedev, S. V. Fortova
{"title":"Numerical Investigation of a Viscous Two-Dimensional Fluid Flow in a Closed Cell","authors":"A. N. Doludenko, I. V. Kolokolov, V. V. Lebedev, S. V. Fortova","doi":"10.1134/S1990478923010064","DOIUrl":null,"url":null,"abstract":"<p> A two-dimensional flow of a viscous fluid in a cell of finite size is studied numerically. The\nflow arises as a result of an inverse cascade supported by a constant pumping. Several distinct\nstates are observed. One of them is dominated by a large eddy with a well-defined average velocity\nprofile. In the second state, strong chaotic large-scale fluctuations predominate. A laminar flow is\nobserved in the third state. The nature of the resulting state depends on the fluid kinematic\nviscosity coefficient, the magnitude of the external pumping force wave vector, and the value of\nthe bottom friction factor. When the values of the kinematic viscosity and wave vector are fixed, a\nsmall value of the bottom friction factor leads to the appearance of the first state. As the\ncoefficient of the bottom friction factor increases, there occurs a transition from a flow with one\nlarge vortex to a laminar flow through a series of states with several unstable vortices, which we\ncall chaotic motion. The paper presents the results of numerical simulation of a weakly\ncompressible viscous fluid flow in a closed cell with no-slip boundary conditions on the walls.\nPumping is carried out by a static force periodic in space in two directions. The simulation is\ncarried out for various values of the bottom friction factor.\n</p>","PeriodicalId":607,"journal":{"name":"Journal of Applied and Industrial Mathematics","volume":"17 1","pages":"51 - 57"},"PeriodicalIF":0.5800,"publicationDate":"2023-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Applied and Industrial Mathematics","FirstCategoryId":"1085","ListUrlMain":"https://link.springer.com/article/10.1134/S1990478923010064","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Engineering","Score":null,"Total":0}
引用次数: 0
Abstract
A two-dimensional flow of a viscous fluid in a cell of finite size is studied numerically. The
flow arises as a result of an inverse cascade supported by a constant pumping. Several distinct
states are observed. One of them is dominated by a large eddy with a well-defined average velocity
profile. In the second state, strong chaotic large-scale fluctuations predominate. A laminar flow is
observed in the third state. The nature of the resulting state depends on the fluid kinematic
viscosity coefficient, the magnitude of the external pumping force wave vector, and the value of
the bottom friction factor. When the values of the kinematic viscosity and wave vector are fixed, a
small value of the bottom friction factor leads to the appearance of the first state. As the
coefficient of the bottom friction factor increases, there occurs 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 motion. The paper presents the results of numerical simulation of a weakly
compressible viscous fluid flow in a closed cell with no-slip boundary conditions on the walls.
Pumping is carried out by a static force periodic in space in two directions. The simulation is
carried out for various values of the bottom friction factor.
期刊介绍:
Journal of Applied and Industrial Mathematics is a journal that publishes original and review articles containing theoretical results and those of interest for applications in various branches of industry. The journal topics include the qualitative theory of differential equations in application to mechanics, physics, chemistry, biology, technical and natural processes; mathematical modeling in mechanics, physics, engineering, chemistry, biology, ecology, medicine, etc.; control theory; discrete optimization; discrete structures and extremum problems; combinatorics; control and reliability of discrete circuits; mathematical programming; mathematical models and methods for making optimal decisions; models of theory of scheduling, location and replacement of equipment; modeling the control processes; development and analysis of algorithms; synthesis and complexity of control systems; automata theory; graph theory; game theory and its applications; coding theory; scheduling theory; and theory of circuits.