DG advection with a vortex in a rectangle#
\[\begin{split}
\mathbb{S}
\begin{cases}
\Omega = [0, 1] \times [0, 1] \\
u_0(x,y) = U_0x^2(1-x)^4y^2(1-y)^4 \\
\textbf{a} = \begin{pmatrix}
\sin(\pi x)\cos(\pi y) \\
-\cos(\pi x)\sin(\pi y)
\end{pmatrix}
\end{cases}
\end{split}\]
import numpy as np
from ufl import SpatialCoordinate, as_vector, sin, cos
from lucifex.mesh import rectangle_mesh
from lucifex.fem import Constant
from lucifex.fdm import (BE, FE,
FiniteDifference, FunctionSeries, ConstantSeries,
advective_timestep)
from lucifex.solver import ibvp , BoundaryConditions
from lucifex.sim import run, Simulation
from lucifex.viz import plot_colormap, save_figure, plot_streamlines
from lucifex.utils import nested_dict, is_continuous_lagrange, as_indices
from lucifex.pde.advection import advection, dg_advection
def create_simulation(
element: tuple[str, int],
Lx: float,
Ly: float,
Nx: int,
Ny: float,
courant: float,
D_adv: FiniteDifference,
mu: float,
):
mesh = rectangle_mesh(Lx, Ly, Nx, Ny)
t = ConstantSeries(mesh, name='t', ics=0.0)
x = SpatialCoordinate(mesh)
a = as_vector(
(sin(np.pi * x[0]) * cos(np.pi * x[1]), -cos(np.pi * x[0]) * sin(np.pi * x[1]))
)
dt = advective_timestep(a, 'hmin', courant, mesh=mesh)
dt = Constant(mesh, dt, name='dt')
u = FunctionSeries((mesh, *element), name='u', store=1)
ics = lambda x: mu * (x[0] ** 2) * (x[1] ** 2) * ((1 - x[0]) ** 4) * ((1 - x[1]) ** 4)
bcs = BoundaryConditions(
('dirichlet', lambda x: x[0], 0.0),
)
if is_continuous_lagrange(u.function_space):
u_solver = ibvp(advection, ics, bcs)(u, dt, a, D_adv)
else:
u_solver = ibvp(dg_advection, ics)(u, dt, a, D_adv, bcs=bcs)
return Simulation(u_solver, t, dt, exprs_consts=[('a', a)])
Lx = 1.0
Ly = 1.0
Nx = 64
Ny = 64
h = Lx / Nx
mu = 1e3
courant = 0.8
elem_opts = [
('DP', 1),
('P', 1),
]
D_adv_opts = (BE, FE)
simulations = nested_dict((FiniteDifference, tuple, Simulation))
for elem in elem_opts:
for D_adv in D_adv_opts:
simulations[elem][D_adv] = create_simulation(elem, Lx, Ly, Nx, Ny, courant, D_adv, mu)
n_stop = 100
for elem in elem_opts:
for D_adv in D_adv_opts:
run(simulations[elem][D_adv], n_stop)
for elem in elem_opts:
fam, deg = elem
for D_adv in D_adv_opts:
u = simulations[elem][D_adv]['u']
a = simulations[elem][D_adv]['a']
time_indices = as_indices(u.time_series, (0, 0.5, -1),)
for i in time_indices:
t = u.time_series[i]
title = f'{fam}$_{deg}$\n $\mathcal{{D}}=\mathrm{{{D_adv}}}$\n $u(t={t:.3f})$'
fig, ax = plot_colormap(u.series[i], title=title)
plot_streamlines(fig, ax, a, mesh=u.function_space.mesh, density=0.75, color='cyan')
thumbnail = (elem == ('DP', 1) and i == -1 and D_adv is BE)
save_figure(f'{u.name}(x,y,t={t:.3f})_{fam}{deg}_{D_adv}', thumbnail=thumbnail)(fig)