Assignment 2b: Recirculating flow: PANS, DES and DDES

• The Assignment can be found in an Appendix in the eBook
  
  
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• pl_vect_hump.m (Matlab/Octave)
  
• pl_vect_hump.py (Python)
  
• All .npy and .dat files
  
• All .m and .py files
  
• vectz_aiaa_paper.dat
  
• vectz_aiaa_journal.dat
  
• vectz_zonal_pans.dat
  
• xy_hump.dat
  
  
• uvw_inst.mat
  
• pl_sas_IDDES.py (Python)
  
• grad_xyz.py (Python)
  
• dphidx_dy.m (Matlab/Octave, easy to read but slow)
  
• dphidx_dy.py (Python, difficult to read but fast)
  
  
• pl_twocorr_computed_fk.m (Matlab/Octave)
  
• pl_twocorr_computed_fk.py (Python)
  
• w_time_z65.dat
  
• w_time_z80.dat
  
• w_time_z110.dat
  
• w_time_z130.dat
  
• hump_grid_nasa_les_coarse_noflow.dat
  
  
  
• x2d_hump_IDDES.dat
  
• y2d_hump_IDDES.dat
  
• z_hump_IDDES.dat
  
  
• pl_vect_hump_IDDES.py
  
• itstep-hump-IDDES.npy
  
• u_averaged-hump-IDDES.npy
  
• v_averaged-hump-IDDES.npy
  
• w_averaged-hump-IDDES.npy
  
• p_averaged-hump-IDDES.npy
  
• k_averaged-hump-IDDES.npy
  
• fk_averaged-hump-IDDES.npy
  
• eps_averaged-hump-IDDES.npy
  
• gen_averaged-hump-IDDES.npy
  
• vis_averaged-hump-IDDES.npy
  
• uu_stress-hump-IDDES.npy
  
• vv_stress-hump-IDDES.npy
  
• ww_stress-hump-IDDES.npy
  
• uv_stress-hump-IDDES.npy
  
  
• u3d_saved_0.npy
  
• u3d_saved_100.npy
  
• u3d_saved_200.npy
  
• u3d_saved_300.npy
  
• u3d_saved_400.npy
  
• u3d_saved_500.npy
  
• u3d_saved_600.npy
  
• u3d_saved_700.npy
  
• u3d_saved_800.npy
  
• u3d_saved_900.npy
  
• u3d_saved_1000.npy
  
• u3d_saved_1100.npy
  
• u3d_saved_1200.npy
  
• u3d_saved_1300.npy
  
• u3d_saved_1400.npy
  
• u3d_saved_1500.npy
  
• u3d_saved_1600.npy
  
• u3d_saved_1700.npy
  
• u3d_saved_1800.npy
  
• u3d_saved_1900.npy
  
• u3d_saved_2000.npy
  
• u3d_saved_2100.npy
  
• u3d_saved_2200.npy
  
  
• v3d_saved_0.npy
  
• v3d_saved_100.npy
  
• v3d_saved_200.npy
  
• v3d_saved_300.npy
  
• v3d_saved_400.npy
  
• v3d_saved_500.npy
  
• v3d_saved_600.npy
  
• v3d_saved_700.npy
  
• v3d_saved_800.npy
  
• v3d_saved_900.npy
  
• v3d_saved_1000.npy
  
• v3d_saved_1100.npy
  
• v3d_saved_1200.npy
  
• v3d_saved_1300.npy
  
• v3d_saved_1400.npy
  
• v3d_saved_1500.npy
  
• v3d_saved_1600.npy
  
• v3d_saved_1700.npy
  
• v3d_saved_1800.npy
  
• v3d_saved_1900.npy
  
• v3d_saved_2000.npy
  
• v3d_saved_2100.npy
  
• v3d_saved_2200.npy
  
  
• w3d_saved_0.npy
  
• w3d_saved_100.npy
  
• w3d_saved_200.npy
  
• w3d_saved_300.npy
  
• w3d_saved_400.npy
  
• w3d_saved_500.npy
  
• w3d_saved_600.npy
  
• w3d_saved_700.npy
  
• w3d_saved_800.npy
  
• w3d_saved_900.npy
  
• w3d_saved_1000.npy
  
• w3d_saved_1100.npy
  
• w3d_saved_1200.npy
  
• w3d_saved_1300.npy
  
• w3d_saved_1400.npy
  
• w3d_saved_1500.npy
  
• w3d_saved_1600.npy
  
• w3d_saved_1700.npy
  
• w3d_saved_1800.npy
  
• w3d_saved_1900.npy
  
• w3d_saved_2000.npy
  
• w3d_saved_2100.npy
  
• w3d_saved_2200.npy
  

Experimental data

• x065_off.dat
• x066_off.dat
• x080_off.dat
• x090_off.dat
• x100_off.dat
• x110_off.dat
• x120_off.dat
• x130_off.dat
  
  
  
  
  
  
  
  
  
  
  
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