def main(args):
fig = plt.figure()
axU = fig.add_subplot(211)
axR = fig.add_subplot(212)
wall = createobstacle(args.diameter[0],111)
lat = lb_D2Q9.lattice(wall.shape,[0.,0.],args.tau[0])
lat.ux[:,0]=anSolution(5e-8,111,lat.nu) #set intel macroscopic eq vel
lat.fd = lat.eqdistributions()#New equilibrium
lat.setWalls(wall)
finlet = np.copy( lat.fd[:,:,:1]) #get inlet macroscopic vel
lat.updateMacroVariables()
for i in range(400000):
if i%50 == 0:
axU.cla()
axU.imshow(np.sqrt(lat.ux**2+lat.uy**2),vmin=0,vmax=0.2)
fname = '%08d.png'%i
dyUy,dxUy=np.gradient(lat.uy)
dyUx,dxUx=np.gradient(lat.ux)
vort=np.abs(dxUy-dyUx)
axR.cla()
axR.imshow(vort,vmin=0,vmax=0.1)
fig.savefig('tot'+fname)
lat.collision()
lat.streamming()
lat.onWallBBNS_BC(wall)
lat.fd[:,:,-1]=np.copy(lat.fd[:,:,-2]) #gradient to cero on outlet
lat.fd[:,:,:1]=np.copy(finlet)
lat.updateMacroVariables()
np.savez('out.npz',lat.ux,lat.uy,lat.rho,wall)
def main(args):
size = args.size
U = args.velocity
lat = lb.lattice(args.size,args.velocity,args.tau[0])
F=np.array(args.force)
wall=np.zeros(args.size)
wall[[0,-1]]=1
lat.setWalls(wall)
lat.updateMacroVariables(F)
uxold=1
step = 1
while ( np.abs(uxold - lat.ux) > 1e-12 )[wall==0].all():
lat.collision()
lat.force(F)
lat.streamming()
lat.onWallBBNS_BC(wall)
uxold=lat.ux
lat.updateMacroVariables(F)
step +=1
print step, 'iter'
domain = np.arange(len(lat.ux))- size[0]/2
print lat.ux
an= anSolution(args.force[0],size[0],lat.nu)
print an
print 'diff num - analytic: ', np.abs(lat.ux.reshape(size[0])-an)
plot(domain,lat.ux,'x-')
plot(domain,an)
show()
return lat.ux