Beispiel #1
0
init_elev = inputs.read_float("init_elev")

mg = RasterModelGrid(nrows, ncols, xy_spacing=dx)

# create the fields in the grid
mg.add_zeros("topographic__elevation", at="node")
z = mg.zeros(at="node") + init_elev
mg["node"]["topographic__elevation"] = z + np.random.rand(len(z)) / 1000.

# make some surface load stresses in a field to test
mg.at_node["surface_load__stress"] = np.zeros(nrows * ncols, dtype=float)
square_qs = mg.at_node["surface_load__stress"].view().reshape((nrows, ncols))
square_qs[10:40, 10:40] += 1.e6

# instantiate:
gf = gFlex(mg, "./AW_gflex_params.txt")

# perform the loop:
elapsed_time = 0.  # total time in simulation
while elapsed_time < time_to_run:
    print(elapsed_time)
    if elapsed_time + dt > time_to_run:
        print("Short step!")
        dt = time_to_run - elapsed_time
    gf.flex_lithosphere()
    elapsed_time += dt

pylab.figure(1)
im = imshow_node_grid(mg, "topographic__elevation")  # display a colored image

pylab.figure(2)
Beispiel #2
0
init_elev = inputs.read_float('init_elev')

mg = RasterModelGrid(nrows, ncols, dx)

#create the fields in the grid
mg.create_node_array_zeros('topographic__elevation')
z = mg.create_node_array_zeros() + init_elev
mg['node'][ 'topographic__elevation'] = z + np.random.rand(len(z))/1000.

#make some surface load stresses in a field to test 
mg.at_node['surface_load__stress'] = np.zeros(nrows*ncols, dtype=float)
square_qs = mg.at_node['surface_load__stress'].view().reshape((nrows,ncols))
square_qs[10:40, 10:40] += 1.e6
    
#instantiate:
gf = gFlex(mg, './AW_gflex_params.txt')

#perform the loop:
elapsed_time = 0. #total time in simulation
while elapsed_time < time_to_run:
    print(elapsed_time)
    if elapsed_time+dt>time_to_run:
        print("Short step!")
        dt = time_to_run - elapsed_time
    gf.flex_lithosphere()
    elapsed_time += dt

pylab.figure(1)
im = imshow_node_grid(mg, 'topographic__elevation')  # display a colored image

pylab.figure(2)
Beispiel #3
0
init_elev = inputs.read_float('init_elev')

mg = RasterModelGrid(nrows, ncols, dx)

#create the fields in the grid
mg.add_zeros('topographic__elevation', at='node')
z = mg.zeros(at='node') + init_elev
mg['node']['topographic__elevation'] = z + np.random.rand(len(z)) / 1000.

#make some surface load stresses in a field to test
mg.at_node['surface_load__stress'] = np.zeros(nrows * ncols, dtype=float)
square_qs = mg.at_node['surface_load__stress'].view().reshape((nrows, ncols))
square_qs[10:40, 10:40] += 1.e6

#instantiate:
gf = gFlex(mg, './AW_gflex_params.txt')

#perform the loop:
elapsed_time = 0.  #total time in simulation
while elapsed_time < time_to_run:
    print(elapsed_time)
    if elapsed_time + dt > time_to_run:
        print("Short step!")
        dt = time_to_run - elapsed_time
    gf.flex_lithosphere()
    elapsed_time += dt

pylab.figure(1)
im = imshow_node_grid(mg, 'topographic__elevation')  # display a colored image

pylab.figure(2)