def main():
import argparse
parser = argparse.ArgumentParser()
parser.add_argument('--n-loads', type=int, default=16,
help='Number of loads to apply')
parser.add_argument('--shape', type=int, default=200,
help='Number rows and columns')
parser.add_argument('--spacing', type=int, default=5e3,
help='Spading between rows and columns (m)')
parser.add_argument('--n-procs', type=int, default=1,
help='Number of processors to use')
parser.add_argument('--plot', action='store_true', default=False,
help='Plot an image of the total deflection')
args = parser.parse_args()
shape = (args.shape, args.shape)
spacing = (args.spacing, args.spacing)
load_locs = get_random_load_locations(shape, args.n_loads)
load_sizes = get_random_load_magnitudes(args.n_loads)
grid = RasterModelGrid(shape[0], shape[1], spacing[0])
flex = FlexureComponent(grid, method='flexure')
put_loads_on_grid(grid, load_locs, load_sizes)
flex.update(n_procs=args.n_procs)
grid.imshow('node', 'lithosphere__elevation', symmetric_cbar=False,
cmap='spectral', show=True)
def main():
grid = RasterModelGrid(SHAPE[0], SHAPE[1], SPACING[0])
create_lithosphere_elevation_with_bulge(grid)
flex = FlexureComponent(grid, method='flexure')
put_two_point_loads_on_grid(grid)
flex.update()
grid.imshow('node', 'lithosphere__elevation', symmetric_cbar=False,
show=True)
def main():
(n_rows, n_cols) = (100, 100)
(dy, dx) = (10e3, 10e3)
grid = RasterModelGrid(n_rows, n_cols, dx)
flex = FlexureComponent(grid, method='flexure')
add_load_to_middle_of_grid(grid, 1e9)
flex.update()
grid.imshow('node', 'lithosphere__elevation', symmetric_cbar=True,
show=True)
def main():
(n_rows, n_cols) = (100, 100)
(dy, dx) = (10e3, 10e3)
grid = RasterModelGrid(n_rows, n_cols, dx)
flex = FlexureComponent(grid, method='flexure')
add_load_to_middle_of_grid(grid, 1e9)
flex.update()
grid.imshow('node', 'lithosphere__elevation', symmetric_cbar=True,
show=True)
def main():
grid = RasterModelGrid(SHAPE[0], SHAPE[1], SPACING[0])
create_lithosphere_elevation_with_bulge(grid)
flex = FlexureComponent(grid, method='flexure')
put_two_point_loads_on_grid(grid)
flex.update()
grid.imshow('node',
'lithosphere__elevation',
symmetric_cbar=False,
show=True)
def main():
import argparse
parser = argparse.ArgumentParser()
parser.add_argument('--n-loads',
type=int,
default=16,
help='Number of loads to apply')
parser.add_argument('--shape',
type=int,
default=200,
help='Number rows and columns')
parser.add_argument('--spacing',
type=int,
default=5e3,
help='Spading between rows and columns (m)')
parser.add_argument('--n-procs',
type=int,
default=1,
help='Number of processors to use')
parser.add_argument('--plot',
action='store_true',
default=False,
help='Plot an image of the total deflection')
args = parser.parse_args()
shape = (args.shape, args.shape)
spacing = (args.spacing, args.spacing)
load_locs = get_random_load_locations(shape, args.n_loads)
load_sizes = get_random_load_magnitudes(args.n_loads)
grid = RasterModelGrid(shape[0], shape[1], spacing[0])
flex = FlexureComponent(grid, method='flexure')
put_loads_on_grid(grid, load_locs, load_sizes)
flex.update(n_procs=args.n_procs)
if args.plot:
grid.imshow('node',
'lithosphere__elevation',
symmetric_cbar=False,
cmap='spectral',
show=True)
(n_rows, n_cols) = (200, 400)
(dy, dx) = (10e3, 10e3)
# In[3]:
from landlab import RasterModelGrid
grid = RasterModelGrid((n_rows, n_cols), dx)
# Now we create the flexure component and tell it to use our newly-created grid.
# In[4]:
from landlab.components.flexure import FlexureComponent
flex = FlexureComponent(grid, method='flexure')
# ## Add some loading
# We will add some loading at the center of the grid. For this component, the name of the variable that hold the applied loads is call, `lithosphere__overlying_pressure`. We add loads of random magnitude at every node of the grid.
# In[5]:
loads = np.random.normal(1e9, 1e12, grid.number_of_nodes)
grid.at_node['lithosphere__overlying_pressure'][:] = loads
# In[6]:
grid.imshow('node', 'lithosphere__overlying_pressure', symmetric_cbar=True,
cmap='spectral', show=True, shrink=.75)