• DocumentCode
    495031
  • Title

    Finite Volume Method for Time-Dependent Convection Diffusion Large Reynolds Number Problem

  • Author

    Cai, Xin ; Cai, Dan-lin ; Lu, Meng-Meng

  • Author_Institution
    Sch. of Sci., Zhejiang Univ. of Sci. & Technol., Hangzhou, China
  • Volume
    3
  • fYear
    2009
  • fDate
    21-22 May 2009
  • Firstpage
    360
  • Lastpage
    363
  • Abstract
    Time-dependent convection diffusion equation, with a discontinuous data and large Reynolds number, is examined. This kind of problem leads to interior layer phenomena due to the discontinuity. The solution changes rapidly near interior layer. Traditional finite volume method is applied. Two efficient numerical methods are constructed. One is Shishkin´s finite volume method. Another is improved-Shishkin´s finite volume method. Shishkin´s finite volume method applies Shishkin´s idea to construct mesh partition. Improved-Shishkin´s finite volume method applies multi-transition points technique to reconstruct mesh partition near interior layer. Numerical experiments indicate that both methods are well fitted the property of interior layer. Both methods are uniformly convergence scheme. Improved-Shishkin´s finite volume method is more accurate than finite difference method, which is constructed by Farrell in his previous paper.
  • Keywords
    convection; diffusion; finite volume methods; flow simulation; mesh generation; turbulence; Reynolds number; Shishkin finite volume method; improved-Shishkin finite volume method; interior layer phenomena; mesh partition; multitransition point technique; time-dependent convection diffusion equation; Convergence; Data engineering; Equations; Finite difference methods; Finite volume methods; convection diffusion; discontinuous data; finite volume method; large Reynolds number;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information and Computing Science, 2009. ICIC '09. Second International Conference on
  • Conference_Location
    Manchester
  • Print_ISBN
    978-0-7695-3634-7
  • Type

    conf

  • DOI
    10.1109/ICIC.2009.296
  • Filename
    5168879