• Title of article

    A direct-forcing embedded-boundary method with adaptive mesh refinement for fluid–structure interaction problems

  • Author/Authors

    Vanella، نويسنده , , Marcos and Rabenold، نويسنده , , Patrick and Balaras، نويسنده , , Elias، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2010
  • Pages
    23
  • From page
    6427
  • To page
    6449
  • Abstract
    In the present work we developed a structured adaptive mesh refinement (S-AMR) strategy for fluid–structure interaction problems in laminar and turbulent incompressible flows. The computational grid consists of a number of nested grid blocks at different refinement levels. The coarsest grid blocks always cover the entire computational domain, and local refinement is achieved by the bisection of selected blocks in every coordinate direction. The grid topology and data-structure is managed using the Paramesh toolkit. The filtered Navier–Stokes equations for incompressible flow are advanced in time using an explicit second-order projection scheme, where all spatial derivatives are approximated using second-order central differences on a staggered grid. For transitional and turbulent flow regimes the large-eddy simulation (LES) approach is used, where special attention is paid on the discontinuities introduced by the local refinement. For all the fluid–structure interaction problems reported in this study the complete set of equations governing the dynamics of the flow and the structure are simultaneously advanced in time using a predictor–corrector strategy. An embedded-boundary method is utilized to enforce the boundary conditions on a complex moving body which is not aligned with the grid lines. Several examples of increasing complexity are given to demonstrate the robustness and accuracy of the proposed formulation.
  • Keywords
    Cartesian grids , finite-difference method , Adaptive Mesh Refinement , Fluid–structure interaction , Immersed-boundary method , large-eddy simulation
  • Journal title
    Journal of Computational Physics
  • Serial Year
    2010
  • Journal title
    Journal of Computational Physics
  • Record number

    1482583