fluidsim/visualize_corrected.py

from fluidsim import load_sim_for_plot

# Charger la nouvelle simulation Taylor-Green correcte
sim_corrected = load_sim_for_plot("/root/Sim_data/NS2D_48x48_S8x8_2026-01-08_19-42-37")

print("=== SIMULATION TAYLOR-GREEN CORRECTE ===")
print(f"Résolution: {sim_corrected.params.oper.nx} x {sim_corrected.params.oper.ny}")
print(f"Domaine: {sim_corrected.params.oper.Lx} x {sim_corrected.params.oper.Ly}")
print(f"Temps final: {sim_corrected.params.time_stepping.t_end}")

# Analyser l'énergie
energy = sim_corrected.output.spatial_means.load_mean('E')
print("
Énergie:")
print(".6f")
print(".6f")
print(".1f")

# Visualisation des champs initiaux
import matplotlib.pyplot as plt

fig, axes = plt.subplots(1, 3, figsize=(15, 5))

rot_init = sim_corrected.output.phys_fields.get_field_to_plot(key='rot', time=0)
ux_init = sim_corrected.output.phys_fields.get_field_to_plot(key='ux', time=0)
uy_init = sim_corrected.output.phys_fields.get_field_to_plot(key='uy', time=0)

axes[0].imshow(rot_init.T, origin='lower', extent=[0, 8, 0, 8])
axes[0].set_title('Vorticité initiale')
plt.colorbar(axes[0].imshow(rot_init.T, origin='lower', extent=[0, 8, 0, 8]), ax=axes[0])

axes[1].imshow(ux_init.T, origin='lower', extent=[0, 8, 0, 8])
axes[1].set_title('Vitesse Ux initiale')
plt.colorbar(axes[1].imshow(ux_init.T, origin='lower', extent=[0, 8, 0, 8]), ax=axes[1])

axes[2].imshow(uy_init.T, origin='lower', extent=[0, 8, 0, 8])
axes[2].set_title('Vitesse Uy initiale')
plt.colorbar(axes[2].imshow(uy_init.T, origin='lower', extent=[0, 8, 0, 8]), ax=axes[2])

plt.tight_layout()
plt.savefig('taylor_green_corrected_init.png', dpi=150, bbox_inches='tight')
plt.show()

print("Image sauvegardée: taylor_green_corrected_init.png")