• Title of article

    A hybridizable discontinuous Galerkin method for Stokes flow

  • Author/Authors

    Nguyen، نويسنده , , N.C. and Peraire، نويسنده , , J. and Cockburn، نويسنده , , B.، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2010
  • Pages
    16
  • From page
    582
  • To page
    597
  • Abstract
    In this paper, we introduce a hybridizable discontinuous Galerkin method for Stokes flow. The method is devised by using the discontinuous Galerkin methodology to discretize a velocity–pressure–gradient formulation of the Stokes system with appropriate choices of the numerical fluxes and by applying a hybridization technique to the resulting discretization. One of the main features of this approach is that it reduces the globally coupled unknowns to the numerical trace of the velocity and the mean of the pressure on the element boundaries, thereby leading to a significant reduction in the size of the resulting matrix. Moreover, by using an augmented lagrangian method, the globally coupled unknowns are further reduced to the numerical trace of the velocity only. Another important feature is that the approximations of the velocity, pressure, and gradient converge with the optimal order of k + 1 in the L 2 -norm, when polynomials of degree k ⩾ 0 are used to represent the approximate variables. Based on the optimal convergence of the HDG method, we apply an element-by-element postprocessing scheme to obtain a new approximate velocity, which converges with order k + 2 in the L 2 -norm for k ⩾ 1 . The postprocessing performed at the element level is less expensive than the solution procedure. Numerical results are provided to assess the performance of the method.
  • Keywords
    discontinuous Galerkin methods , Augmented Lagrangian , Hybrid/mixed methods , Stokes flow , finite element methods
  • Journal title
    Computer Methods in Applied Mechanics and Engineering
  • Serial Year
    2010
  • Journal title
    Computer Methods in Applied Mechanics and Engineering
  • Record number

    1597624