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LES filtering from DNS channel data and get vortical structures using three different identification schemes

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LES Filtering & Vortical Structures

This program is used for two purpose.

First it is applied to filter the fully-developed channel DNS data ( Re_tau = 395 ). Gaussian filter is used to filter DNS data.

Second it is used to get vortical structures from three different identification schemes

  • Q criteria ( Haller.1988 )
  • Lambda_2 criteria ( Jeong.1995 )
  • Lambda_ci criteria ( Zhou.1999 )

0. Related papers & data

1. Setting for LES_Filtering code

  • Make 'RESULT' folder
  • Add 3D Velocity data (u,v,w in x,y,z direction) ( tecplot format ) to RESULT folder
  • Change settings in LES_Filtering_setup.f90 code only
    • Set file name variable ( file_name )
    • Set the number of meshes ( Nx,Ny,Nz )
    • Set the filter width constant ( FW )
    • Set Y-slice point ( N,YP )
    • Set Statistic type ( VS_ONLY )
    • Set vortical structure identification scheme ( VS_CASE )
    • Set the number of filter ( FILTER_OX )
      • If you want to make only vortical structure, set Filter_OX = 0, VS_ONLY = 2
      • If you want to get eddy viscosity and Smargorinsky coefficient, set FILTER_OX =2, VS_ONLY = 0 or 1.
    • Set Y sorting order ( Y_ORDER)
      • Whether the Y is saved in ascending or descending order.

2. Output files

  • Filtered mean velocities ( 3D field, Y slice contour, Y profile )
  • Filtered residual stress ( Y slice contour, Y profile )
  • Filtered strain rate ( Y slice contour, Y profile )
  • Filtered rotation rate ( Y slice contour, Y profile )
  • Filtered eddy viscosity ( Y slice contour, Y profile )
  • Filtered Smargorinsky coefficient ( Y slice contour, Y profile )
  • Vortical Structures

3. Code composition

  • LES_filtering_main.f90
  • LES_filtering_module.f90
  • LES_filtering_setup.f90
  • LES_filtering_read.f90
  • LES_filtering_filter.f90
  • LES_filtering_second_filter.f90
  • LES_filtering_output.f90
  • LES_filtering_eig33.f90
  • Vortical_Structures.f90

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LES filtering from DNS channel data and get vortical structures using three different identification schemes

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