An Adaptive-Smoothing Multigrid Method for the Navier-Stokes Equations

  • Dimitris Drikakis
  • Oleg Iliev
  • Daniela Vassileva
Part of the Lecture Notes in Computational Science and Engineering book series (LNCSE, volume 14)


The paper presents the development and investigation of an adaptive-smoothing (AS) procedure in conjunction with a full multigrid (FMG) — full approximation storage (FAS) method. The latter has been developed by the authors [1] for solving the incompressible Navier-Stokes equations, in conjunction with the artificial-compressibility method and a characteristic-based discretisation scheme, and forms here the basis for investigating the AS approach. The principle of adaptive-smoothing is to exploit the non-uniform convergence behaviour of the numerical solution during the iterations in order to reduce the size of the computational domain and, thus, reduce the total computing time. The results show that significant acceleration of the multigrid flow computations can be achieved by using adaptive-smoothing.


Fine Grid Multigrid Method Curve Channel Steady State Problem Adaptivity Criterion 
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Copyright information

© Springer-Verlag Berlin Heidelberg 2000

Authors and Affiliations

  • Dimitris Drikakis
    • 1
  • Oleg Iliev
    • 2
  • Daniela Vassileva
    • 3
  1. 1.Department of EngineeringQueen Mary and Westfield College, University of LondonLondonUK
  2. 2.Institute for Industrial Mathematics (ITWM)KaiserslauternGermany
  3. 3.Institute of Mathematics and InformaticsBulgarian Academy of ScienceSofiaBulgaria

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