def create_particles(self):
# Fluid particles
hdx = 1.0
d = 1.0
dx = 50
len_fluid_domain = 1400
x, y = mgrid[0:len_fluid_domain + 1e-4:dx,
0:len_fluid_domain + 1e-4:dx]
x = x.ravel()
y = y.ravel()
idx_inner_pa_to_split = []
for idx, (x_i, y_i) in enumerate(zip(x, y)):
if ((6 * dx <= x_i <= len_fluid_domain - 6 * dx)
and (6 * dx <= y_i <= len_fluid_domain - 6 * dx)):
idx_inner_pa_to_split.append(idx)
idx_inner_pa_to_split = array(idx_inner_pa_to_split)
m = ones_like(x) * dx * dx * rho_w * d
h = ones_like(x) * hdx * dx
h0 = ones_like(x) * hdx * dx
rho = ones_like(x) * rho_w * d
rho0 = ones_like(x) * rho_w * d
A = m / rho
A[idx_inner_pa_to_split] = 3000
pa = gpa_swe(x=x,
y=y,
m=m,
rho0=rho0,
rho=rho,
h=h,
h0=h0,
A=A,
name='fluid')
# Boundary Particles
x, y = mgrid[-2 * dx:len_fluid_domain + 2 * dx + 1e-4:dx,
-2 * dx:len_fluid_domain + 2 * dx + 1e-4:dx]
x = x.ravel()
y = y.ravel()
boun_idx = np.where((x < 0) | (y < 0) | (x > len_fluid_domain)
| (y > len_fluid_domain))
x = x[boun_idx]
y = y[boun_idx]
m = ones_like(x) * dx * dx * rho_w * d
h = ones_like(x) * hdx * dx
rho = ones_like(x) * rho_w * d
boundary = gpa_swe(name='boundary', x=x, y=y, m=m, h=h, rho=rho)
compute_initial_props([pa])
return [pa, boundary]
def create_particles(self):
"""Create the Rectangular patch of fluid"""
# The wall at x = 0 is simulated by applying a symmetry condition
# in the fluid, i.e., an additional column of fluid to the left of the
# wall
dx = self.dx
hdx = self.hdx
dw0 = self.dw0
le = self.le
w = self.w
x, y = mgrid[-le:le + 1e-4:dx, -w / 2.:w / 2. + 1e-4:dx]
x = x.ravel()
y = y.ravel()
m = ones_like(x) * dx * dx * rho_w * dw0
h = ones_like(x) * hdx * dx
h0 = ones_like(x) * hdx * dx
rho = ones_like(x) * rho_w * dw0
rho0 = ones_like(x) * rho_w * dw0
fluid = gpa_swe(x=x,
y=y,
m=m,
rho=rho,
rho0=rho0,
h=h,
h0=h0,
name='fluid')
# Bed props
dxb = dx / 2.
left_edge_bed = -3 * le
right_edge_bed = 3 * le
top_edge_bed = w + 4 * dxb
bottom_edge_bed = -w - 4 * dxb
xb, yb = mgrid[left_edge_bed:+right_edge_bed + 1e-4:dxb,
bottom_edge_bed:+top_edge_bed + 1e-4:dxb]
xb = xb.ravel()
yb = yb.ravel()
xb_max = max(xb)
b = (xb_max - xb) * tan(self.theta * pi / 180.)
Vb = ones_like(xb) * dxb * dxb
hb = ones_like(xb) * hdx * dxb
bed = gpa_swe(name='bed', x=xb, y=yb, V=Vb, b=b, h=hb)
compute_initial_props([fluid, bed])
return [fluid, bed]
def create_particles(self):
"""Create the Rectangular patch of fluid."""
# The wall at x = 0 is simulated by applying a symmetry condition
# in the fluid, i.e., an additional column of fluid to the left of the
# wall
x, y = mgrid[-self.le:self.le + 1e-4:self.dx,
-(self.w) / 2.:(self.w) / 2. + 1e-4:self.dx]
x = x.ravel()
y = y.ravel()
dx = self.dx
d = self.dw0
hdx = self.hdx
m = ones_like(x) * dx * dx * rho_w * d
h = ones_like(x) * hdx * dx
h0 = ones_like(x) * hdx * dx
rho = ones_like(x) * rho_w * d
rho0 = ones_like(x) * rho_w * d
pa = gpa_swe(x=x,
y=y,
m=m,
rho0=rho0,
rho=rho,
h=h,
h0=h0,
name='fluid')
compute_initial_props([pa])
return [pa]
def create_particles(self):
# 1D
hdx = self.hdx
dx = self.dx
fluid_surf_hei = self.fluid_surf_hei
# Bed
l_bed = 8000.0
dxb = dx
xb = arange(0, l_bed + 1e-4, dxb)
bo = 10.0
a = 3000.0
b = bo * ((xb - 0.5 * l_bed) / a)**2
Vb = ones_like(xb) * dxb
hb = ones_like(xb) * hdx * dxb
bed = gpa_swe(name='bed', x=xb, V=Vb, b=b, h=hb)
# For gradient correction
len_b = len(bed.x) * 9
bed.add_constant('m_mat', [0.0] * len_b)
# Fluid
x = arange(1000 + 2 * dx, 7000 - 2 * dx + 1e-4, dx)
h = ones_like(x) * hdx * dx
h0 = ones_like(x) * hdx * dx
fluid = gpa_swe(x=x, h=h, h0=h0, name='fluid')
compute_fluid_elevation([fluid, bed])
dw = fluid_surf_hei - fluid.b
rho = dw * rho_w
rho0 = dw * rho_w
m = rho * dx
fluid.m = m
fluid.rho = rho
fluid.rho0 = rho0
fluid.dw = dw
compute_initial_props([fluid])
return [fluid, bed]
def create_particles(self):
n = self.n
r = self.r
dr = r / n
d = self.dw0
hdx = self.hdx
x = zeros(0)
y = zeros(0)
# Create circular patch of fluid in a radial grid
rad = 0.0
for j in range(1, n+1):
npnts = 4 * j
dtheta = (2*pi) / npnts
theta = arange(0, 2*pi-1e-10, dtheta)
rad = rad + dr
_x = rad * cos(theta)
_y = rad * sin(theta)
x = concatenate((x, _x))
y = concatenate((y, _y))
arr_ones = ones_like(x)
m = arr_ones * (1.56*dr*dr) * rho_w * d
rho = arr_ones * rho_w * d
rho0 = arr_ones * rho_w * d
h = arr_ones * hdx * dr
h0 = arr_ones * hdx * dr
# Analytially set fluid bottom height and gradients
R = self.R
theta = self.theta
b = y**2/R + (theta*(pi/180.))*x
bx = arr_ones * -0.839
by = 0.909 * y
byy = 0.909
# Eccentricity in fluid column from mid section
x += self.xcen
y += self.ycen
fluid = gpa_swe(x=x, y=y, m=m, rho=rho, rho0=rho0, h=h, h0=h0,
b=b, bx=bx, by=by, byy=byy, name='fluid')
compute_initial_props([fluid])
return [fluid]
def create_particles(self):
n = self.n
r = self.r
dr = r / n
d = self.dw0
hdx = self.hdx
x = zeros(0)
y = zeros(0)
# Create circular patch of fluid in a radial grid
rad = 0.0
for j in range(1, n + 1):
npnts = 4 * j
dtheta = (2 * pi) / npnts
theta = arange(0, 2 * pi - 1e-10, dtheta)
rad = rad + dr
_x = rad * cos(theta)
_y = rad * sin(theta)
x = concatenate((x, _x))
y = concatenate((y, _y))
m = ones_like(x) * (1.56 * dr * dr) * rho_w * d
rho = ones_like(x) * rho_w * d
rho0 = ones_like(x) * rho_w * d
h = ones_like(x) * hdx * dr
h0 = ones_like(x) * hdx * dr
pa = gpa_swe(x=x,
y=y,
m=m,
rho=rho,
rho0=rho0,
h=h,
h0=h0,
name='fluid')
compute_initial_props([pa])
return [pa]
def create_particles(self):
n = self.n
hdx = self.hdx
fluid_rad = self.r
dr = (fluid_rad-100) / n
zo = self.zo
# Bed
dxb = 50.
xb, yb = mgrid[-5000:5000:dxb, -5000:5000:dxb]
b = zo * ((xb**2 + yb**2)/fluid_rad**2)
Vb = ones_like(xb) * dxb * dxb
hb = ones_like(xb) * hdx * dxb
bed = gpa_swe(name='bed', x=xb, y=yb, V=Vb, b=b, h=hb)
# For gradient correction
len_b = len(bed.x) * 9
bed.add_constant('m_mat', [0.0] * len_b)
# Fluid
x = zeros(0)
y = zeros(0)
# Create circular patch in a radial grid
rad = 0.0
for j in range(1, n+1):
npnts = 4 * j
dtheta = (2*pi) / npnts
theta = arange(0, 2*pi-1e-10, dtheta)
rad = rad + dr
_x = rad * cos(theta)
_y = rad * sin(theta)
x = concatenate((x, _x))
y = concatenate((y, _y))
x += self.x_cen_fluid
y += self.y_cen_fluid
h = ones_like(x) * hdx * dr
h0 = ones_like(x) * hdx * dr
# Distance between fluid center and bed center along x-direction
zeta = self.x_cen_fluid - 0.0
u = zeros_like(x)
v = ones_like(x) * -(zeta*self.omega)
vh = ones_like(x) * -(zeta*self.omega)
# At t = 0.0s
fluid_surf_hei = zo + (2*zeta*(zo/fluid_rad)
* ((x/fluid_rad) - (zeta/(2.0*fluid_rad))))
fluid = gpa_swe(x=x, y=y, h=h, h0=h0, u=u, v=v, vh=vh, name='fluid')
compute_fluid_elevation([fluid, bed])
dw = fluid_surf_hei - fluid.b
rho = dw * rho_w
rho0 = dw * rho_w
m = rho * (1.56*dr*dr)
fluid.m = m
fluid.rho = rho
fluid.rho0 = rho0
fluid.dw = dw
compute_initial_props([fluid])
return [fluid, bed]
def create_particles(self):
# Fluid
n = self.n
r = self.r
dr = r / n
d = self.dw0
hdx = self.hdx
x = zeros(0)
y = zeros(0)
# Create circular patch in a radial grid
rad = 0.0
for j in range(1, n + 1):
npnts = 4 * j
dtheta = (2 * pi) / npnts
theta = arange(0, 2 * pi - 1e-10, dtheta)
rad = rad + dr
_x = rad * cos(theta)
_y = rad * sin(theta)
x = concatenate((x, _x))
y = concatenate((y, _y))
m = ones_like(x) * (1.56 * dr * dr) * rho_w * d
rho = ones_like(x) * rho_w * d
rho0 = ones_like(x) * rho_w * d
h = ones_like(x) * hdx * dr
h0 = ones_like(x) * hdx * dr
fluid = gpa_swe(x=x,
y=y,
m=m,
rho=rho,
rho0=rho0,
h=h,
h0=h0,
name='fluid')
compute_initial_props([fluid])
# Circular Closed Boundary
inner_r_wall = self.inner_r_wall
x, y = mgrid[-1.5 * inner_r_wall:1.5 * inner_r_wall:dr,
-1.5 * inner_r_wall:1.5 * inner_r_wall:dr]
x = x.ravel()
y = y.ravel()
idx1 = where(inner_r_wall**2 <= (x**2 + y**2))[0]
idx2 = where((x**2 + y**2) < (inner_r_wall + self.n_wall * dr)**2)
idx = intersect1d(idx1, idx2)
x_cb, y_cb = x[idx], y[idx]
m_cb = ones_like(x_cb) * (1.56 * dr * dr) * rho_w * d
h_cb = ones_like(x_cb) * hdx * dr
rho_cb = ones_like(x_cb) * rho_w * d
dw_cb = ones_like(x_cb) * d
cs_cb = sqrt(9.8 * dw_cb)
alpha_cb = dim * rho_cb
# Tags wall boundary particles to set virtual depth and ignore
# artificial viscosity interaction
is_wall_boun_pa = ones_like(x_cb)
boundary = gpa_swe(name='boundary',
x=x_cb,
y=y_cb,
m=m_cb,
h=h_cb,
rho=rho_cb,
dw=dw_cb,
cs=cs_cb,
alpha=alpha_cb,
is_wall_boun_pa=is_wall_boun_pa)
return [fluid, boundary]
def create_particles(self):
hdx = self.hdx
dx1 = self.dx1
dx2 = self.dx2
l1 = self.l1
l2 = self.l2
tot_l = l1 + l2
d1 = self.dw01
d2 = self.dw02
x = concatenate((arange(0, l1, dx1), arange(l1, tot_l + 1e-4, dx2)),
axis=0)
m = ones_like(x)
h = ones_like(x)
h0 = ones_like(x)
rho = ones_like(x)
rho0 = ones_like(x)
# Setting first fluid column properties
idx_fluid_col_1 = where(x < 1000.0)[0]
m[idx_fluid_col_1] *= dx1 * rho_w * d1
h[idx_fluid_col_1] *= hdx * dx1
h0[idx_fluid_col_1] *= hdx * dx1
rho[idx_fluid_col_1] *= rho_w * d1
rho0[idx_fluid_col_1] *= rho_w * d1
# Setting second fluid column properties
idx_fluid_col_2 = where(x >= 1000.0)[0]
m[idx_fluid_col_2] *= dx2 * rho_w * d2
h[idx_fluid_col_2] *= hdx * dx2
h0[idx_fluid_col_2] *= hdx * dx2
rho[idx_fluid_col_2] *= rho_w * d2
rho0[idx_fluid_col_2] *= rho_w * d2
fluid = gpa_swe(x=x, m=m, rho=rho, rho0=rho0, h=h, h0=h0, name='fluid')
# Closed Boundary
x = concatenate((arange(-2 * dx1, l1,
dx1), arange(l1, tot_l + 2 * dx2 + 1e-4, dx2)),
axis=0)
idx_cb_left = where((x < 0))[0]
idx_cb_right = where((x > 2000))[0]
m_cb = ones_like(x)
h_cb = ones_like(x)
rho_cb = ones_like(x)
dw_cb = ones_like(x)
cs_cb = ones_like(x)
alpha_cb = ones_like(x)
m_cb[idx_cb_left] *= dx1 * rho_w * d1
h_cb[idx_cb_left] *= hdx * dx1
rho_cb[idx_cb_left] *= rho_w * d1
dw_cb[idx_cb_left] *= d1
cs_cb[idx_cb_left] *= sqrt(9.8 * dw_cb[idx_cb_left])
alpha_cb[idx_cb_left] *= dim * rho_cb[idx_cb_left]
m_cb[idx_cb_right] *= dx2 * rho_w * d2
h_cb[idx_cb_right] *= hdx * dx2
rho_cb[idx_cb_right] *= rho_w * d2
dw_cb[idx_cb_right] *= d2
cs_cb[idx_cb_right] *= sqrt(9.8 * dw_cb[idx_cb_right])
alpha_cb[idx_cb_right] *= dim * rho_cb[idx_cb_right]
boundary = gpa_swe(name='boundary',
x=x,
m=m_cb,
h=h_cb,
rho=rho_cb,
dw=dw_cb,
cs=cs_cb,
alpha=alpha_cb)
idx_to_remove = where((x >= 0) & (x <= 2000))[0]
boundary.remove_particles(idx_to_remove)
compute_initial_props([fluid, boundary])
return [fluid, boundary]
def create_particles(self):
hdx = self.hdx
dx = self.dx
d = self.dw0
w = self.w
le = self.le
# Inlet Properties
x, y = np.mgrid[-self.num_inlet_pa * dx + dx / 2.:0:dx,
dx / 2:w - (dx / 4.):dx]
x, y = (np.ravel(t) for t in (x, y))
u_inlet = self.u_inlet
m = ones_like(x) * dx * dx * rho_w * d
h = ones_like(x) * hdx * dx
h0 = ones_like(x) * hdx * dx
rho = ones_like(x) * rho_w * d
rho0 = ones_like(x) * rho_w * d
alpha = dim * rho
cs = sqrt(9.8 * rho / rho_w)
# Note: Both u and uh must be specified when specifying inlet vel
u = ones_like(x) * u_inlet
uh = ones_like(x) * u_inlet
# Need to specify this to inlet open boundary particle (OBP) because
# when OBP becomes fluid particle, the fluid particle will have this
# bottom slope (bx)
bx = ones_like(x) * -0.001
inlet = gpa_swe(x=x,
y=y,
m=m,
rho0=rho0,
rho=rho,
h0=h0,
h=h,
u=u,
uh=uh,
alpha=alpha,
cs=cs,
bx=bx,
name='inlet')
boundary_props = [
'dw_inner_reimann', 'u_inner_reimann', 'v_inner_reimann',
'shep_corr'
]
inlet.add_output_arrays(boundary_props)
inlet.add_property('x0')
# Fluid Properties
xf, yf = np.mgrid[0.5 * dx:self.x_max_inlet + le:dx,
dx / 2:w - (dx / 4.):dx]
xf, yf = (np.ravel(t) for t in (xf, yf))
m = ones_like(xf) * dx * dx * rho_w * d
h = ones_like(xf) * hdx * dx
h0 = ones_like(xf) * hdx * dx
rho = ones_like(xf) * rho_w * d
rho0 = ones_like(xf) * rho_w * d
uh = ones_like(xf) * u_inlet
u = ones_like(xf) * u_inlet
bx = ones_like(xf) * -0.001
fluid = gpa_swe(name='fluid',
x=xf,
y=yf,
m=m,
rho0=rho0,
rho=rho,
h=h,
bx=bx,
h0=h0,
uh=uh,
u=u)
# Outlet Properties
xo, yo = np.mgrid[dx / 2.:self.num_outlet_pa * dx:dx,
dx / 2:w - (dx / 4.):dx]
xo, yo = (np.ravel(t) for t in (xo, yo))
xo += le
dw = ones_like(xo) * d
m = ones_like(xo) * dx * dx * rho_w * d
h = ones_like(xo) * hdx * dx
h0 = ones_like(xo) * hdx * dx
rho = ones_like(xo) * rho_w * d
rho0 = ones_like(xo) * rho_w * d
cs = sqrt(9.8 * rho / rho_w)
alpha = dim * rho
outlet = gpa_swe(name='outlet',
x=xo,
y=yo,
dw=dw,
m=m,
rho0=rho0,
alpha=alpha,
rho=rho,
h=h,
h0=h0,
cs=cs)
outlet.add_output_arrays(boundary_props)
outlet.add_property('x0')
# Bed Properties
xb, yb = np.mgrid[-5 * dx:le * 1.6 + 5 * dx:dx, 0:w + dx / 2.:dx]
xb = np.ravel(xb)
yb = np.ravel(yb)
Vb = ones_like(xb) * dx * dx
nb = ones_like(xb) * self.n # Manning Coefficient
hb = ones_like(xb) * hdx * dx
bed = gpa_swe(name='bed', x=xb, y=yb, V=Vb, n=nb, h=hb)
# Closed Boundary
xcb_top = np.arange(self.x_min_inlet - 2.0 * dx,
self.x_max_outlet * 1.6, dx)
ycb_top = np.concatenate(
(ones_like(xcb_top) * (w + 0.5 * dx), ones_like(xcb_top) *
(w + 1.5 * dx)),
axis=0)
xcb_top = np.tile(xcb_top, 2)
xcb_bottom = np.arange(self.x_min_inlet - 2.0 * dx,
self.x_max_outlet * 1.6, dx)
ycb_bottom = np.concatenate((zeros_like(xcb_bottom) - 0.5 * dx,
zeros_like(xcb_bottom) - 1.5 * dx),
axis=0)
xcb_bottom = np.tile(xcb_bottom, 2)
xcb_all = np.concatenate((xcb_top, xcb_bottom), axis=0)
ycb_all = np.concatenate((ycb_top, ycb_bottom), axis=0)
m_cb = ones_like(xcb_all) * dx * dx * rho_w * d
h_cb = ones_like(xcb_all) * hdx * dx
rho_cb = ones_like(xcb_all) * rho_w * d
dw_cb = ones_like(xcb_all) * d
cs_cb = sqrt(9.8 * dw_cb)
alpha_cb = dim * rho_cb
u_cb = ones_like(xcb_all) * u_inlet
is_wall_boun_pa = ones_like(xcb_all)
boundary = gpa_swe(name='boundary',
x=xcb_all,
y=ycb_all,
m=m_cb,
h=h_cb,
rho=rho_cb,
dw=dw_cb,
cs=cs_cb,
alpha=alpha_cb,
u=u_cb,
is_wall_boun_pa=is_wall_boun_pa)
return [inlet, fluid, outlet, bed, boundary]
def create_particles(self):
# 1D
hdx = self.hdx
dx = self.dx
fluid_surf_hei = self.fluid_surf_hei
le = self.le
# Bed
dxb = 0.25 * dx
xb = arange(-dx, le + dx + 1e-4, dxb)
b = zeros_like(xb)
b[where(xb > self.step_loc)] = self.step_hei
Vb = ones_like(xb) * dxb
hb = ones_like(xb) * hdx * dxb
bed = gpa_swe(name='bed', x=xb, V=Vb, b=b, h=hb)
# For gradient correction
len_b = len(bed.x) * 9
bed.add_constant('m_mat', [0.0] * len_b)
# Fluid
x = arange(0, le + 1e-4, dx)
h = ones_like(x) * hdx * dx
h0 = ones_like(x) * hdx * dx
fluid = gpa_swe(x=x, h=h, h0=h0, name='fluid')
compute_fluid_elevation([fluid, bed])
dw = fluid_surf_hei - fluid.b
rho = dw * rho_w
rho0 = dw * rho_w
m = rho * dx
fluid.m = m
fluid.rho = rho
fluid.rho0 = rho0
fluid.dw = dw
compute_initial_props([fluid])
# Boundary
x_cb = array([-2 * dx, -dx, 1 + dx, 1 + 2 * dx])
h_cb = ones_like(x_cb) * hdx * dx
dw_cb = array([
fluid_surf_hei, fluid_surf_hei, 0.5 * fluid_surf_hei,
0.5 * fluid_surf_hei
])
m_cb = ones_like(x_cb) * rho_w * dx * dw_cb
rho_cb = ones_like(x_cb) * rho_w * dw_cb
cs_cb = sqrt(9.8 * dw_cb)
alpha_cb = dim * rho_cb
no_art_visc = ones_like(x_cb, dtype=int)
boundary = gpa_swe(name='boundary',
x=x_cb,
m=m_cb,
h=h_cb,
rho=rho_cb,
dw=dw_cb,
cs=cs_cb,
alpha=alpha_cb,
no_art_visc=no_art_visc)
return [fluid, bed, boundary]
def create_particles(self):
hdx = self.hdx
dx = self.dx
d = self.dw0
w = self.w
y_max = w
l_domain = self.le
# Inlet Properties
y = arange(dx / 2, w - (dx / 4.), dx)
x = zeros_like(y) - 0.5 * dx
m = ones_like(x) * dx * dx * rho_w * d
h = ones_like(x) * hdx * dx
h0 = ones_like(x) * hdx * dx
# Stores the time-varying depth field imposed at inlet
dw_at_t = ones_like(x) * d
rho = ones_like(x) * rho_w * d
rho0 = ones_like(x) * rho_w * d
alpha = dim * rho
cs = sqrt(9.8 * rho / rho_w)
inlet = gpa_swe(x=x,
y=y,
m=m,
rho0=rho0,
rho=rho,
h0=h0,
h=h,
dw_at_t=dw_at_t,
alpha=alpha,
cs=cs,
name='inlet')
boundary_props = [
'dw_inner_reimann', 'u_inner_reimann', 'v_inner_reimann',
'shep_corr'
]
inlet.add_output_arrays(boundary_props)
# Bed Properties
bed_fname = os.path.join(self.dir_input_files, 'tsunami_bed.txt.bz2')
xb, yb, b = loadtxt(bed_fname, delimiter=' ', unpack=True)
Vb = ones_like(xb) * self.Vb
nb = ones_like(xb) * self.n # Manning Coefficient
hb = ones_like(xb) * self.hb
bed = gpa_swe(name='bed', x=xb, y=yb, V=Vb, n=nb, h=hb, b=b)
len_b = len(bed.x) * 9
bed.add_constant('m_mat', [0.0] * len_b)
# Fluid Properties
xf, yf = mgrid[0.5 * dx:self.x_max_inlet + l_domain:dx,
dx / 2:y_max - (dx / 4.):dx]
xf, yf = (ravel(t) for t in (xf, yf))
h = ones_like(xf) * hdx * dx
h0 = ones_like(xf) * hdx * dx
fluid = gpa_swe(name='fluid', x=xf, y=yf, h=h, h0=h0)
compute_fluid_elevation([fluid, bed])
fluid_surf_hei = d
dw = fluid_surf_hei - fluid.b
rho = dw * rho_w
rho0 = dw * rho_w
m = rho * dx**2
fluid.m = m
fluid.rho = rho
fluid.rho0 = rho0
fluid.dw = dw
# Removes fluid particles with depth less than d_min
d_min = 7e-5
idx = where(fluid.dw < d_min)[0]
fluid.remove_particles(idx)
# Closed Boundary
# Note: 5 layers of wall boundary particles
xcb_top = arange(self.x_min_inlet - 5 * dx, l_domain + 5 * dx, dx / 2.)
ycb_top = zeros(0)
for i in arange(-0.5, 2, 0.5):
ycb_top = concatenate(
(ycb_top, ones_like(xcb_top) * (y_max + i * dx)), axis=0)
xcb_top = concatenate(
(xcb_top, xcb_top + dx / 4., xcb_top, xcb_top + dx / 4., xcb_top),
axis=0)
xcb_bottom = arange(self.x_min_inlet - 5 * dx, l_domain + 5 * dx,
dx / 2.)
ycb_bottom = zeros(0)
for i in arange(0, -2.5, -0.5):
ycb_bottom = concatenate(
(ycb_bottom, zeros_like(xcb_bottom) + i * dx), axis=0)
xcb_bottom = concatenate((xcb_bottom, xcb_bottom + dx / 4., xcb_bottom,
xcb_bottom + dx / 4., xcb_bottom),
axis=0)
ycb_right = arange(dx / 4., y_max - (dx / 4.), dx / 2.)
xcb_right = zeros(0)
for i in arange(0.5, 3.0, 0.5):
xcb_right = concatenate(
(xcb_right, zeros_like(ycb_right) + (l_domain + i * dx)),
axis=0)
ycb_right = concatenate((ycb_right, ycb_right + dx / 4., ycb_right,
ycb_right + dx / 4, ycb_right),
axis=0)
xcb_all = concatenate((xcb_top, xcb_bottom, xcb_right), axis=0)
ycb_all = concatenate((ycb_top, ycb_bottom, ycb_right), axis=0)
m_cb = ones_like(xcb_all) * dx / 2. * dx / 2. * rho_w * d
h_cb = ones_like(xcb_all) * hdx * dx / 2.
rho_cb = ones_like(xcb_all) * rho_w * d
dw_cb = ones_like(xcb_all) * d
cs_cb = sqrt(9.8 * dw_cb)
alpha_cb = dim * rho_cb
is_wall_boun_pa = ones_like(xcb_all)
boundary = gpa_swe(name='boundary',
x=xcb_all,
y=ycb_all,
m=m_cb,
h=h_cb,
rho=rho_cb,
dw=dw_cb,
cs=cs_cb,
is_wall_boun_pa=is_wall_boun_pa,
alpha=alpha_cb)
return [inlet, fluid, bed, boundary]
