# initial conditions
# cx = 30
# cy = 25
for i in range(0, Nx + 1):
for j in range(0, Ny + 1):
T[i, j] = 25 # +0.2*np.random.random()
V[i, j] = 0.0 # +0.2*np.random.random()
W[i, j] = 0.4061 + 0.1 * np.random.random()
# if(np.abs(i-cx)+(j-cy)**2 < 4):
# W[i,j] = 0
# else:
# W[i,j]=0.4061+0.1*np.random.random()
# T1[0,i]=T[i]
# V1[0,i]=V[i]
# W1[0,i]=W[i]
lsys = 1 - lsystem.lin() / 255
W *= lsys
def updatefig():
global T, V, W, m
m += 1
T_new = Tnew(T, V, W, Nx, Ny, dt, dx, dy, theta1, theta2)
# b = T_new.reshape((Nx+1,Ny+1))
V_temp, W_temp, V_s, P = correction(T_new, V, W, Nx, Ny)
T_new = T_new.reshape((Nx + 1, Ny + 1))
print "T:", T_new[Nx / 2]
dx2=dx**2 # To save CPU cycles, we'll compute Delta x^2
dy2=dy**2 # and Delta y^2 only once and store them.
a = 4
tinit = toKelvin(27) # Zhang&Datta
tfactor = 1
# For stability, this is the largest interval possible
# for the size of the time-step:
dt = dx2*dy2/( 2*a*(dx2+dy2) )#*16
Dt = 0.5
dt = 0.1
# Start u and ui off as zero matrices:
wi = np.array(lsystem.lin()[0:nx,0:ny]).astype(np.float32) # (255)? cuanto es el valor original de la masa?
wi = wi/255.0
#wi = (np.max(wi)-wi)*0.001 + 0.1
#print
#exit()
print "MAX W: ",np.max(wi)
print "MIN W: ", np.min(wi)
wi.flags.writeable = True
#print wi.sum()
#print 'Total moisture content (W): {0:.16f}'.format(np.float64(wi.sum()))
dy=0.001 # Interval size in y-direction.
a=4 # Diffusion constant.
timesteps=1000 # Number of time-steps to evolve system.
nx = int(1/dx)
ny = int(1/dy)
dx2=dx**2 # To save CPU cycles, we'll compute Delta x^2
dy2=dy**2 # and Delta y^2 only once and store them.
# For stability, this is the largest interval possible
# for the size of the time-step:
dt = dx2*dy2/( 2*a*(dx2+dy2) )
# Start u and ui off as zero matrices:
ui = 255-lsystem.lin()
ui.flags.writeable = True
#ui = np.ones([nx,ny])
u = np.zeros(ui.shape)
# Now, set the initial conditions (ui).
#for i in range(nx):
# for j in range(ny):
# if ( ( (i*dx-0.5)**2+(j*dy-0.5)**2 <= 0.1)
# & ((i*dx-0.5)**2+(j*dy-0.5)**2>=.05) ):
# ui[i,j] = 1
#for i in range(10,30):
#for j in range(10,30):
