def __init__(self, nx, ny, nz, Lx, Ly, Lz, threeD=False, mesh=None):
"""
Initializes the dedalus domain object. Many of the inputs match those in
the class attribute docstring.
Other attributes:
-----------------
mesh : list of ints
The CPU grid on which the domain is distributed.
"""
self.nx, self.ny, self.nz = nx, ny, nz
self.Lx, self.Ly, self.Lz = Lx, Ly, Lz
self.threeD = threeD
x_basis = de.Fourier('x',
nx,
interval=(-Lx / 2, Lx / 2),
dealias=3 / 2)
self.bases = [
x_basis,
]
if threeD:
y_basis = de.Fourier('y',
ny,
interval=(-Ly / 2, Ly / 2),
dealias=3 / 2)
self.bases += [y_basis]
if isinstance(nz, list) and isinstance(Lz, list):
Lz_int = 0
z_basis_list = []
for Lz_i, nz_i in zip(Lz, nz):
Lz_top = Lz_i + Lz_int
z_basis = de.Chebyshev('z',
nz_i,
interval=[Lz_int, Lz_top],
dealias=3 / 2)
z_basis_list.append(z_basis)
Lz_int = Lz_top
self.Lz = Lz_int
self.nz = np.sum(nz)
self.Lz_list = Lz
self.nz_list = nz
z_basis = de.Compound('z', tuple(z_basis_list), dealias=3 / 2)
else:
z_basis = de.Chebyshev('z', nz, interval=(0, Lz), dealias=3 / 2)
self.Lz_list = None
self.nz_list = None
self.bases += [z_basis]
self.domain = de.Domain(self.bases,
grid_dtype=np.float64,
mesh=mesh,
comm=MPI.COMM_WORLD)
self.x = self.domain.grid(0)
if threeD:
self.y = self.domain.grid(1)
else:
self.y = None
self.z = self.domain.grid(-1)
def DoubleChebyshev(name, N, interval=(-1, 1), dealias=1):
N0 = int(N // 2)
N1 = N - N0
L = interval[1] - interval[0]
int0 = (interval[0], interval[0] + L / 2)
int1 = (interval[0] + L / 2, interval[1])
b0 = de.Chebyshev('b0', N0, interval=int0, dealias=dealias)
b1 = de.Chebyshev('b1', N1, interval=int1, dealias=dealias)
return de.Compound(name, (b0, b1), dealias=dealias)
def DoubleLaguerre(name, N, interval=(-1,1), dealias=1):
N0 = int(N // 2)
N1 = N - N0
L = interval[1] - interval[0]
C = (interval[0] + interval[1]) / 2
int0 = (C, C + L/2)
int1 = (C, C - L/2)
b0 = de.Chebyshev('b0', N0, interval=int0, dealias=dealias)
b1 = de.Chebyshev('b1', N1, interval=int1, dealias=dealias)
return de.Compound(name, (b0, b1), dealias=dealias)
def ChebLag(name, N, edge=0.0, stretch=1.0, cwidth=1.0, dealias=1):
b1 = de.Chebyshev('b1',
int(N // 2),
interval=(edge, edge + cwidth),
dealias=dealias)
b2 = de.Laguerre('b2',
int(N // 2),
edge=edge + cwidth,
stretch=stretch,
dealias=dealias)
return de.Compound(name, (b1, b2), dealias=dealias)
def DoubleLaguerre(name, N, center=0.0, stretch=1.0, dealias=1):
b0 = de.Laguerre('b0',
int(N // 2),
edge=center,
stretch=-stretch,
dealias=dealias)
b1 = de.Laguerre('b1',
int(N // 2),
edge=center,
stretch=stretch,
dealias=dealias)
return de.Compound(name, (b0, b1), dealias=dealias)
def LCCL(name, N, center=0.0, stretch=1.0, cwidth=1.0, dealias=1):
b1 = de.Laguerre('b1',
int(N // 4),
edge=center - cwidth,
stretch=-stretch,
dealias=dealias)
b2 = de.Chebyshev('b2',
int(N // 4),
interval=(center - cwidth, center),
dealias=dealias)
b3 = de.Chebyshev('b3',
int(N // 4),
interval=(center, center + cwidth),
dealias=dealias)
b4 = de.Laguerre('b4',
int(N // 4),
edge=center + cwidth,
stretch=stretch,
dealias=dealias)
return de.Compound(name, (b1, b2, b3, b4), dealias=dealias)
def build_LHS(Nz, bw, format, entry_cutoff=0):
# Parameters
dt = 1e-3
kx = 50 * np.pi
sigma = 1
ts = de.timesteppers.RK222
# Create bases and domain
z1 = de.Chebyshev('z', Nz, interval=(-1, 1), dealias=3 / 2)
z2 = de.Chebyshev('z', Nz, interval=(1, 2), dealias=3 / 2)
z3 = de.Chebyshev('z', Nz, interval=(2, 3), dealias=3 / 2)
z_basis = de.Compound('z', [z1, z2, z3])
domain = de.Domain([z_basis], grid_dtype=np.complex128)
# 2D Boussinesq hydrodynamics
problem = de.IVP(domain,
variables=['T', 'Tz'],
ncc_cutoff=0,
max_ncc_terms=bw,
entry_cutoff=entry_cutoff)
problem.meta[:]['z']['dirichlet'] = True
problem.parameters['kx'] = kx
problem.parameters['sigma'] = sigma
problem.substitutions['kappa'] = "exp(-(z-1)**2 / 2 / sigma**2)"
problem.substitutions['dx(A)'] = "1j*kx*A"
problem.add_equation("dt(T) - dx(kappa*dx(T)) - dz(kappa*Tz) = 0")
problem.add_equation("Tz - dz(T) = 0")
problem.add_bc("left(T) = 0")
problem.add_bc("right(T) = 0")
# Build solver
solver = problem.build_solver(ts)
# Step solver to form pencil LHS
for i in range(1):
solver.step(dt)
return solver, solver.pencils[0].LHS.asformat(format)
def erf_tanh_compound(nx,
intervals,
center,
width,
fig_name='erf_tanh_compound.png'):
x_basis_list = []
for i in range(len(nx)):
print('sub interval {} : {} (nx={})'.format(i, intervals[i], nx[i]))
x_basis = de.Chebyshev('x',
nx[i],
interval=intervals[i],
dealias=3 / 2)
x_basis_list.append(x_basis)
x_basis = de.Compound('x', tuple(x_basis_list), dealias=3 / 2)
domain = de.Domain([x_basis])
make_plots(domain,
fig_name=fig_name,
intervals=intervals,
nx_intervals=np.cumsum(nx))
def basis_from_basis(basis, factor):
"""duplicates input basis with number of modes multiplied by input factor.
the new number of modes will be cast to an integer
inputs
------
basis : a dedalus basis
factor : a float that will multiply the grid size by basis
"""
basis_type = basis.__class__.__name__
n_hi = int(basis.base_grid_size * factor)
if type(basis) == de.Compound:
sub_bases = []
for sub_basis in basis.subbases:
sub_basis_type = sub_basis.__class__.__name__
try:
nb = bases_register[sub_basis_type](
basis.name, n_hi, interval=sub_basis.interval)
except KeyError:
raise KeyError(
"Don't know how to make a basis of type {}".format(
basis_type))
sub_bases.append(nb)
new_basis = de.Compound(basis.name, tuple(sub_bases))
else:
try:
new_basis = bases_register[basis_type](basis.name,
n_hi,
interval=basis.interval)
except KeyError:
raise KeyError(
"Don't know how to make a basis of type {}".format(basis_type))
return new_basis
Rayleigh = 1e10 * 8
Prandtl = 1.
nu = 1 / np.sqrt(Rayleigh / Prandtl)
kappa = 1 / np.sqrt(Rayleigh * Prandtl)
S = 100
T_top = -200
N2 = np.abs(S * T_top * 2)
f = np.sqrt(N2) / (2 * np.pi)
N = int(256)
# Create bases and domain
z_basis_conv1 = de.Chebyshev('z', int(N / 2), interval=(0, z_match))
z_basis_rad1 = de.Chebyshev('z', int(N), interval=(z_match, Lz))
z_basis1 = de.Compound('z', [z_basis_conv1, z_basis_rad1])
domain1 = de.Domain([z_basis1], grid_dtype=np.complex128, comm=MPI.COMM_SELF)
int_field = domain1.new_field()
u_field = domain1.new_field()
ratio = []
for k in range(1, 21):
data = pickle.load(open('eigenvalues/eigenvalue_data_k%i.pkl' % k, 'rb'))
u = data['u']
w = data['w']
freq = data['values']
ratio = []
for i in range(u.shape[0]):
def __init__(self, atmosphere, resolution, aspect, mesh=None,
dealias=3/2, comm=MPI.COMM_WORLD, dtype=np.float64):
"""
Initializes a 2- or 3D domain. Horizontal directions (x, y) are Fourier decompositions,
Vertical direction is either a Chebyshev (if nz, Lz are integers) or a compound
Chebyshev (if nz, Lz are lists) domain.
Parameters
----------
All parameters match class attributes, as described in the class docstring.
"""
self.atmosphere = atmosphere
self.resolution = resolution
self.aspect = aspect
self.dimensions = len(self.resolution)
self.mesh = mesh
self.dealias = dealias
self.dtype = dtype
self.comm = comm
#setup horizontal directions
L_horiz = self.aspect*self.atmosphere.atmo_params['Lz']
self.bases = []
if self.dimensions >= 2:
x_basis = de.Fourier('x', self.resolution[1], interval=(-L_horiz/2, L_horiz/2), dealias=dealias)
self.bases += [x_basis]
if self.dimensions == 3:
y_basis = de.Fourier('y', self.resolution[2], interval=(-L_horiz/2, L_horiz/2), dealias=dealias)
self.bases += [y_basis]
#setup vertical direction
if isinstance(self.resolution[0], list):
Lz_int = 0
z_basis_list = []
for Lz_i, nz_i in zip(self.atmosphere.atmo_params['Lz_list'], self.resolution[0]):
Lz_top = Lz_i + Lz_int
z_basis = de.Chebyshev('z', nz_i, interval=[Lz_int, Lz_top], dealias=dealias)
z_basis_list.append(z_basis)
Lz_int = Lz_top
self.Lz = Lz_int
self.nz = np.sum(nz)
self.Lz_list = Lz
self.nz_list = nz
z_basis = de.Compound('z', tuple(z_basis_list), dealias=dealias)
else:
z_basis = de.Chebyshev('z', self.resolution[0], interval=(0, self.atmosphere.atmo_params['Lz']), dealias=dealias)
self.Lz_list = None
self.nz_list = None
#create domain
self.bases += [z_basis]
self.domain = de.Domain(self.bases, grid_dtype=dtype, mesh=mesh, comm=comm)
#store grid data
if self.dimensions >= 2:
self.x = self.domain.grid(0)
self.x_de = self.domain.grid(0, scales=dealias)
else:
self.x, self.x_de = None, None
if self.dimensions == 3:
self.y = self.domain.grid(1)
self.y_de = self.domain.grid(1, scales=dealias)
else:
self.y, self.y_de = None, None
self.z = self.domain.grid(-1)
self.z_de = self.domain.grid(-1, scales=dealias)
self.atmosphere.build_atmosphere(self)
def solve_hires(self, tol=1e-10):
old_evp = self.EVP
old_d = old_evp.domain
old_x = old_d.bases[0]
old_x_grid = old_d.grid(0, scales=old_d.dealias)
if type(old_x) == de.Compound:
bases = []
for basis in old_x.subbases:
old_x_type = basis.__class__.__name__
n_hi = int(basis.base_grid_size * self.factor)
if old_x_type == "Chebyshev":
x = de.Chebyshev(basis.name, n_hi, interval=basis.interval)
elif old_x_type == "Fourier":
x = de.Fourier(basis.name, n_hi, interval=basis.interval)
else:
raise ValueError(
"Don't know how to make a basis of type {}".format(
old_x_type))
bases.append(x)
x = de.Compound(old_x.name, tuple(bases))
else:
old_x_type = old_x.__class__.__name__
n_hi = int(old_x.coeff_size * self.factor)
if old_x_type == "Chebyshev":
x = de.Chebyshev(old_x.name, n_hi, interval=old_x.interval)
elif old_x_type == "Fourier":
x = de.Fourier(old_x.name, n_hi, interval=old_x.interval)
else:
raise ValueError(
"Don't know how to make a basis of type {}".format(
old_x_type))
d = de.Domain([x], comm=old_d.dist.comm)
self.EVP_hires = de.EVP(d,
old_evp.variables,
old_evp.eigenvalue,
tolerance=tol)
x_grid = d.grid(0, scales=d.dealias)
for k, v in old_evp.substitutions.items():
self.EVP_hires.substitutions[k] = v
for k, v in old_evp.parameters.items():
if type(v) == Field: #NCCs
new_field = d.new_field()
v.set_scales(self.factor, keep_data=True)
new_field['g'] = v['g']
self.EVP_hires.parameters[k] = new_field
else: #scalars
self.EVP_hires.parameters[k] = v
for e in old_evp.equations:
self.EVP_hires.add_equation(e['raw_equation'])
try:
for b in old_evp.boundary_conditions:
self.EVP_hires.add_bc(b['raw_equation'])
except AttributeError:
# after version befc23584fea, Dedalus no longer
# distingishes BCs from other equations
pass
solver = self.EVP_hires.build_solver()
if self.sparse:
solver.solve_sparse(solver.pencils[self.pencil],
N=10,
target=0,
rebuild_coeffs=True)
else:
solver.solve_dense(solver.pencils[self.pencil],
rebuild_coeffs=True)
self.evalues_hires = solver.eigenvalues
logger.info(r_bot)
logger.info(r_top)
N = 256
r_int1 = 0.5
r_int2 = 0.8
r_int3 = r_top
#r_int3 = 0.95
# Create bases and domain
r_basis1 = de.Chebyshev('r', 2 * N, interval=(r_bot, r_int1))
r_basis2 = de.Chebyshev('r', N, interval=(r_int1, r_int2))
r_basis3 = de.Chebyshev('r', N, interval=(r_int2, r_int3))
r_basis = de.Compound('r', [r_basis1, r_basis2, r_basis3])
domain = de.Domain([r_basis], grid_dtype=np.float64, comm=MPI.COMM_SELF)
r_d = domain.grid(0)
def dedalus_interp(array):
field = domain.new_field()
interp = interpolate.interp1d(r / r[-1], array, kind='cubic')
field['g'] = interp(r_d)
return field
rho0 = dedalus_interp(rho)
g = dedalus_interp(g)
Gamma1 = dedalus_interp(Gamma_1)
if not os.path.isdir('k%i' %k):
os.mkdir('k%i' %k)
MPI.COMM_WORLD.Barrier()
# want f_min(k) and f_max(k)
f_min = 0.5*k**(3/4)
f_max = 1*k**(3/4)
f_list = np.exp(np.linspace(np.log(f_min), np.log(f_max), num=100))
logger.info(f_list)
N = int(512)
# Create bases and domain
z_basis_conv = de.Chebyshev('z', int(N), interval=(0,z_match))
z_basis_rad = de.Chebyshev('z', int(N/2),interval=(z_match,Lz))
z_basis = de.Compound('z',[z_basis_conv,z_basis_rad], dealias=3/2)
domain = de.Domain([z_basis], grid_dtype=np.complex128, comm=MPI.COMM_SELF)
T0 = domain.new_field()
T0.set_scales(1024*3/2/N)
data = np.loadtxt('T.dat')
T0['g'] = data[1,:]
T0.set_scales(1)
z = domain.grid(0)
T0z = T0.differentiate(0)
T0z.set_scales(1)
T0z['g'] *= 0.5*(1 + np.tanh( (z - 0.4)/0.01 ))
def run_salty_boussinesq_vpf(simname, ϵ, dt, comm, logger):
ν = 1e-2
κ = 1e-2
γ = 1e-2
μ = 1e-2
M = .2
N = 0
L = 1
β = 4 / 2.6482282
#ϵ = #np.sqrt(1e-4)
η = (β * ϵ)**2 / ν
α = (5 / 6) * (L / κ) * ϵ
nx = 128
nz = 256
#dt = float(sys.argv[2])#2e-4
timestepper = 'SBDF2'
#simname = f'salty-boussinesq-melting-vpf-tangent-{timestepper}-{ϵ:.0e}-conserved-passive'
flt.makedir(f'{savedir}/frames/{simname}')
tend = 10
save_step = 1
save_freq = round(save_step / dt)
xbasis = de.Fourier('x', nx, interval=(0, 4), dealias=3 / 2)
zb0 = de.Chebyshev('z0', 32, interval=(0, 10 * ϵ), dealias=3 / 2)
zb1 = de.Chebyshev('z1', 64, interval=(10 * ϵ, 1 - 10 * ϵ), dealias=3 / 2)
zb2 = de.Chebyshev('z2', 32, interval=(1 - 10 * ϵ, 1), dealias=3 / 2)
zbasis = de.Compound('z', [zb0, zb1, zb2])
domain = de.Domain([xbasis, zbasis], grid_dtype=np.float64, comm=comm)
flt.save_domain(f'{savedir}/domain-{simname}.h5', domain)
x, z = domain.grids(scales=domain.dealias)
xx, zz = x + 0 * z, 0 * x + z
xc = xx
dims = range(1, 3)
# Define GeneralFunction subclass to handle parities
GeneralFunction = de.operators.GeneralFunction
class HorizontalFunction(GeneralFunction):
def __init__(
self,
domain,
layout,
func=None,
args=[],
kw={},
out=None,
):
super().__init__(
domain,
layout,
func=func,
args=args,
kw=kw,
out=out,
)
def meta_constant(self, axis):
if axis == 1 or axis == 'z': return True
else: return False
refname = 'salty-boussinesq-melting-tangent-conserved-passive'
reffile = glob.glob(f'{savedir}/interface-{refname}/*.h5')[0]
t0s, x0s = flt.load_data(reffile, 'sim_time', 'x/1.0', group='scales')
h0s, ht0s = flt.load_data(reffile, 'h', 'ht', group='tasks')
from scipy.interpolate import RectBivariateSpline
h0s, ht0s = np.squeeze(h0s), np.squeeze(ht0s)
hspline = RectBivariateSpline(t0s, x0s, h0s)
htspline = RectBivariateSpline(t0s, x0s, ht0s)
def h_func(*args):
return hspline(args[0].value, args[1].data[:, 0]).T
def ht_func(*args):
return htspline(args[0].value, args[1].data[:, 0]).T
def h_op(*args, domain=domain, h_func=h_func):
return HorizontalFunction(domain, layout='g', func=h_func, args=args)
def ht_op(*args, domain=domain, ht_func=ht_func):
return HorizontalFunction(domain, layout='g', func=ht_func, args=args)
de.operators.parseables['h_op'] = h_op
de.operators.parseables['ht_op'] = ht_op
problem = de.IVP(domain,
variables=[
'u11', 'u12', 'u21', 'u22', 'p1', 'q1', 'p2', 'q2',
'T1', 'T1_2', 'T2', 'T2_2', 'C1', 'C1_2', 'C2',
'C2_2', 'f1', 'f1_2', 'f2', 'f2_2', 'E', 'S'
])
problem.meta[:]['z']['dirichlet'] = True
problem.meta['E', 'S']['x', 'z']['constant'] = True
problem.parameters['ν'] = ν
problem.parameters['κ'] = κ
problem.parameters['γ'] = γ
problem.parameters['μ'] = μ
problem.parameters['M'] = M
problem.parameters['N'] = N
problem.parameters['δ'] = 1e-4
problem.parameters['ε'] = ϵ
problem.parameters['L'] = L
problem.parameters['η'] = η
problem.parameters['α'] = α
As = [4] * 5
for i in range(len(As)):
problem.parameters[f'A{i+1}'] = As[i]
problem.substitutions['h'] = 'h_op(t,x)'
problem.substitutions['ht'] = 'ht_op(t,x)'
problem.substitutions['d_1(A)'] = 'dx(A)'
problem.substitutions['d_2(A)'] = 'dz(A)'
problem.substitutions['T1_1'] = 'd_1(T1)'
problem.substitutions['T2_1'] = 'd_1(T2)'
problem.substitutions['C1_1'] = 'd_1(C1)'
problem.substitutions['C2_1'] = 'd_1(C2)'
problem.substitutions['f1_1'] = 'd_1(f1)'
problem.substitutions['f2_1'] = 'd_1(f2)'
problem.substitutions['hx'] = 'd_1(h)'
problem.substitutions['angle'] = 'sqrt(1 + hx**2)'
problem.substitutions['omz1'] = 'sqrt(1 + (hx)**2)/(2-h)'
problem.substitutions['omz2'] = 'sqrt(1 + (hx)**2)/h'
problem.substitutions['curvature'] = 'dx(hx)/angle**3'
problem.substitutions['xc'] = 'x'
problem.substitutions['zc1'] = 'h + (2-h)*z'
problem.substitutions['zc2'] = 'h*z'
problem.substitutions['d_0(A)'] = '0'
for l in [1, 2]:
problem.substitutions[f'Kdet{l}'] = Kdet[l]
for i in range(3):
for j in range(3):
problem.substitutions[f'J{l}{i}{j}'] = J.get((l, i, j), '0')
problem.substitutions[f'K{l}{i}{j}'] = K.get((l, i, j), '0')
problem.substitutions[f'g{l}{i}{j}'] = g.get((l, i, j), '0')
for k in range(3):
problem.substitutions[f'G{l}{i}_{j}{k}'] = G.get(
(l, i, j, k), '0')
for i in dims:
for j in dims:
problem.substitutions[
f'cd_{i}_u{l}{j}'] = f'd_{i}(u{l}{j})' + ' + '.join(
[''] + [
f'G{l}{j}_{k}{i}*u{l}{k}'
for k in dims if G.get((l, j, k, i), 0)
])
problem.substitutions[f'div{l}'] = f'cd_1_u{l}1 + cd_2_u{l}2'
problem.substitutions[f'vorticity{l}'] = f'Kdet{l}*' + '({})'.format(
' + '.join([
f'{eps[i,j]}*g{l}{i}{k}*cd_{k}_u{l}{j}' for k in dims
for j in dims for i in dims if eps.get((i, j), 0)
]))
for j in dims:
problem.substitutions[
f'curl_vorticity{l}{j}'] = f'(1/Kdet{l})*' + '({})'.format(
' + '.join(f'{eps[i,j]}*d_{i}(q{l})'
for i in dims if eps.get((i, j), 0)))
for k in dims:
problem.substitutions[
f'q_cross_u{l}{k}'] = f'Kdet{l}*q{l}*' + '({})'.format(
' + '.join(f'{eps[i,j]}*g{l}{i}{k}*u{l}{j}' for i in dims
for j in dims if eps.get((i, j), 0)))
for j in dims:
problem.substitutions[f'grad_p{l}{j}'] = ' + '.join(
[f'g{l}{i}{j}*d_{i}(p{l})' for i in dims])
for j in dims:
problem.substitutions[f'f{l}{j}'] = f'(T{l}+N*C{l})*J{l}2{j}'
for j in dims:
problem.substitutions[f'adv_u{l}{j}'] = ' + '.join([
f'J{l}0{i}*d_{i}(u{l}{j})' for i in dims if J.get((l, 0, i), 0)
] + [
f'J{l}0{i}*u{l}{k}*G{l}{j}_{k}{i}' for i in range(3)
for k in dims if J.get((l, 0, i), 0) and G.get((l, j, k, i))
])
for i in dims:
problem.substitutions[
f'dτu{l}{i}'] = f'- adv_u{l}{i} + ν*curl_vorticity{l}{i} - grad_p{l}{i} + q_cross_u{l}{i} - (f{l}/η)*u{l}{i} + f{l}{i}'
for i in dims:
problem.substitutions[f'dtu{l}{i}'] = f'dτu{l}{i} + adv_u{l}{i}'
problem.substitutions[f'lapT{l}'] = '{} - ({})'.format(
' + '.join(
[f'g{l}{i}{j}*d_{i}(T{l}_{j})' for i in dims for j in dims]),
' + '.join([
f'g{l}{i}{j}*T{l}_{k}*G{l}{k}_{i}{j}' for i in dims
for j in dims for k in dims if G.get((l, k, i, j))
]))
problem.substitutions[f'lapC{l}'] = '{} - ({})'.format(
' + '.join(
[f'g{l}{i}{j}*d_{i}(C{l}_{j})' for i in dims for j in dims]),
' + '.join([
f'g{l}{i}{j}*C{l}_{k}*G{l}{k}_{i}{j}' for i in dims
for j in dims for k in dims if G.get((l, k, i, j))
]))
problem.substitutions[f'lapf{l}'] = '{} - ({})'.format(
' + '.join(
[f'g{l}{i}{j}*d_{i}(f{l}_{j})' for i in dims for j in dims]),
' + '.join([
f'g{l}{i}{j}*f{l}_{k}*G{l}{k}_{i}{j}' for i in dims
for j in dims for k in dims if G.get((l, k, i, j))
]))
problem.substitutions[f'udotT{l}'] = f'u{l}1*T{l}_1 + u{l}2*T{l}_2'
problem.substitutions[f'udotC{l}'] = f'u{l}1*C{l}_1 + u{l}2*C{l}_2'
problem.substitutions[
f'ndotT{l}'] = f'left(( g{l}21*T{l}_1 + g{l}22*T{l}_2)/omz{l})'
problem.substitutions[
f'ndotf{l}'] = f'left(( g{l}21*f{l}_1 + g{l}22*f{l}_2)/omz{l})'
problem.substitutions[
f'f_flux{l}'] = f'-ε**(-2)*f{l}*(1-f{l})*(γ*(1-2*f{l}) + ε*(T{l}+M*C{l}))'
problem.substitutions[f'dtf{l}'] = f'(1/α)*(γ*lapf{l} + f_flux{l})'
problem.substitutions[f'dτf{l}'] = f'dtf{l} - ' + '({})'.format(
' + '.join(
[f'J{l}0{i}*f{l}_{i}' for i in dims if J.get((l, 0, i))]))
problem.substitutions[f'gradfdotgradC{l}'] = ' + '.join(
[f'g{l}{i}{j}*f{l}_{i}*C{l}_{j}' for i in dims for j in dims])
problem.substitutions[
f'dτT{l}'] = 'κ*({}) - ({}) + ({}) - ({})'.format(
f'lapT{l}', f'udotT{l}', f'L*dtf{l}', ' + '.join(
[f'J{l}0{i}*T{l}_{i}' for i in dims if J.get((l, 0, i))]))
problem.substitutions[
f'dτC{l}'] = 'μ*({}) - ({}) + ({}) - ({})'.format(
f'lapC{l}', f'udotC{l}',
f'(dtf{l}*C{l} - μ*gradfdotgradC{l})/(1-f{l}+δ)', ' + '.join(
[f'J{l}0{i}*C{l}_{i}' for i in dims if J.get((l, 0, i))]))
# problem.substitutions['dτh'] = ' - (1/2)*(left(dtf1/(J122*f1_2)) + right(dtf2/(J222*f2_2)))'
# # Cartesian quantities
# problem.substitutions[f'ux{l}'] = ' + '.join(f'u{l}{j}*K{l}{j}1' for j in dims if K.get((l,j,1)))
# problem.substitutions[f'uz{l}'] = ' + '.join(f'u{l}{j}*K{l}{j}2' for j in dims if K.get((l,j,2)))
# problem.substitutions[f'kenergy{l}'] = f'0.5*(ux{l}**2 + uz{l}**2)'
# problem.substitutions[f'pr{l}'] = f'p{l} - kenergy{l}'
# problem.substitutions[f'dxc{l}(A)'] = ' + '.join(f'J{l}1{j}*d_{j}(A)' for j in dims if J.get((l,1,j)))
# problem.substitutions[f'dzc{l}(A)'] = ' + '.join(f'J{l}2{j}*d_{j}(A)' for j in dims if J.get((l,2,j)))
# problem.substitutions[f'dtux{l}'] = f'- dxc{l}(p{l}) - ν*dzc{l}(q{l}) + q{l}*uz{l}'
# problem.substitutions[f'dtuz{l}'] = f'- dzc{l}(p{l}) + ν*dxc{l}(q{l}) - q{l}*ux{l}'
# problem.substitutions[f'dtT1'] = f'- dzc{l}(p{l}) + ν*dxc{l}(q{l}) - q{l}*ux{l}'
for l in [1, 2]:
problem.add_equation(
f' A1*(d_1(u{l}1) + d_2(u{l}2)) = A1*(d_1(u{l}1) + d_2(u{l}2)) - div{l}'
)
problem.add_equation(
f'q{l} + A2*(d_2(u{l}1) - d_1(u{l}2)) = A2*(d_2(u{l}1) - d_1(u{l}2)) + vorticity{l}'
)
problem.add_equation(
f'dt(u{l}1) + A3*d_1(p{l}) + A4*ν*d_2(q{l}) = A3*d_1(p{l}) + A4*ν*d_2(q{l}) + dτu{l}1'
)
problem.add_equation(
f'dt(u{l}2) + A3*d_2(p{l}) - A4*ν*d_1(q{l}) - T2 = - T2 + A3*d_2(p{l}) - A4*ν*d_1(q{l}) + dτu{l}2'
)
problem.add_equation(f'T{l}_2 - d_2(T{l}) = 0')
problem.add_equation(
f'dt(T{l}) - κ*A5*(d_1(T{l}_1) + d_2(T{l}_2)) = - κ*A5*(d_1(T{l}_1) + d_2(T{l}_2)) + dτT{l}'
)
problem.add_equation(f'C{l}_2 - d_2(C{l}) = 0')
problem.add_equation(
f'dt(C{l}) - μ*A5*(d_1(C{l}_1) + d_2(C{l}_2)) = - μ*A5*(d_1(C{l}_1) + d_2(C{l}_2)) + dτC{l}'
)
problem.add_equation(f'f{l}_2 - d_2(f{l}) = 0')
problem.add_equation(
f'α*dt(f{l})-γ*A5*(d_1(f{l}_1) + d_2(f{l}_2)) = - γ*A5*(d_1(f{l}_1) + d_2(f{l}_2)) + α*dτf{l}'
)
# problem.add_equation('ht - (κ/L)*(right(T2_2) - right(T1_2)) = - (κ/L)*(right(T2_2) - right(T1_2)) + dτh')
# problem.add_equation('ht = -100*(left(f1) - .5)')
# problem.add_equation('dt(h) - ht = 0')
problem.add_equation(
'E = integ(Kdet1*(T1 + L*(1-f1)) + Kdet2*(T2 + L*(1-f2)))')
problem.add_equation('S = integ(Kdet1*(1-f1)*C1 + Kdet2*(1-f2)*C2)')
problem.add_bc('right(u11) = 0')
problem.add_bc('right(u12) = 0', condition='nx != 0')
# problem.add_bc('right(T1) = -1')
problem.add_bc('right(T1_2) = 0')
problem.add_bc('right(C1_2) = 0')
problem.add_bc('right(f1_2) = 0')
problem.add_bc('left(u11) - right(u21) = 0')
problem.add_bc(
'left(u12) - right(u22) = left((h-1)*u12) + right((h-1)*u22)')
problem.add_bc('left(p1) - right(p2) = 0')
problem.add_bc('left(q1) - right(q2) = 0')
problem.add_bc('right(T2) - left(T1) = 0')
problem.add_bc('right(C2) - left(C1) = 0')
problem.add_bc('right(f2) - left(f1) = 0')
# problem.add_bc('right(f2) = 0.5')
problem.add_bc(
'left(T1_2) - right(T2_2) = left((1-h)*T1_2) + right((1-h)*T2_2)')
problem.add_bc(
'left(C1_2) - right(C2_2) = left((1-h)*C1_2) + right((1-h)*C2_2)')
problem.add_bc(
'left(f1_2) - right(f2_2) = left((1-h)*f1_2) + right((1-h)*f2_2)')
problem.add_bc('left(p2) = 0', condition='nx == 0')
problem.add_bc('left(u21) = 0')
problem.add_bc('left(u22) = 0')
problem.add_bc('left(T2_2) = 0')
# problem.add_bc('left(T2) = 1')
problem.add_bc('left(C2_2) = 0')
problem.add_bc('left(f2_2) = 0')
solver = problem.build_solver(eval(f'de.timesteppers.{timestepper}'))
solver.stop_sim_time = tend
fields = {fname: solver.state[fname] for fname in problem.variables}
for fname, field in fields.items():
field.set_scales(domain.dealias)
hop, htop = solver.evaluator.vars['h'], solver.evaluator.vars['ht']
h, ht = hop.evaluate(), htop.evaluate()
T1, T2, C1, C2, f1, f2, E, S = [
fields[name]
for name in ['T1', 'T2', 'C1', 'C2', 'f1', 'f2', 'E', 'S']
]
xc = xx
zc1 = h['g'] + (2 - h['g']) * zz
zc2 = h['g'] * zz
h['g'] = 1
T1['g'] = 1 - zc1
T2['g'] = 1 - zc2 + np.exp(-((xc - 2)**2 + (zc2 - .5)**2) * 5**2)
T1.differentiate('z', out=fields['T1_2'])
T2.differentiate('z', out=fields['T2_2'])
C1['g'] = 0.05 + (1 - 0.05) * .5 * (1 - np.tanh(10 * (zc1 - .5)))
C2['g'] = 0.05 + (1 - 0.05) * .5 * (1 - np.tanh(10 * (zc2 - .5)))
C1.differentiate('z', out=fields['C1_2'])
C2.differentiate('z', out=fields['C2_2'])
zc1 = h['g'] + (2 - h['g']) * zz
zc2 = h['g'] * zz
f1['g'] = .5 * (1 + np.tanh(
(1 / (2 * ϵ)) * (zc1 - h['g']) / np.sqrt(1 + d(h, 'x')**2)['g']))
f2['g'] = .5 * (1 + np.tanh(
(1 / (2 * ϵ)) * (zc2 - h['g']) / np.sqrt(1 + d(h, 'x')**2)['g']))
f1.differentiate('z', out=fields['f1_2'])
f2.differentiate('z', out=fields['f2_2'])
E['g'] = (h * (T2 + L * (1 - f2)) + (2 - h) *
(T1 + L * (1 - f1))).evaluate().integrate()['g']
S['g'] = (h * (1 - f2) * C2 + (2 - h) *
(1 - f1) * C1).evaluate().integrate()['g']
analysis = solver.evaluator.add_file_handler(
f'{savedir}/analysis-{simname}',
iter=save_freq,
max_writes=100,
mode='overwrite')
for task in problem.variables + ['h', 'ht', 'zc1', 'zc2']:
analysis.add_task(task)
while solver.ok:
if solver.iteration % 100 == 0:
logger.info(solver.iteration)
if np.any(np.isnan(T2['g'])): break
solver.step(dt)
solver.step(dt)
def set_domain(self,
nx=256,
Lx=4,
ny=256,
Ly=4,
nz=128,
Lz=1,
grid_dtype=np.float64,
comm=MPI.COMM_WORLD,
mesh=None):
"""
Here the dedalus domain is created for the equation set
Inputs:
nx, ny, nz - Number of grid points in the x, y, z directions
Lx, Ly, Lz - Physical size of the x, y, z direction
grid_dtype - Datatype to use for grid points in the problem
comm - Comm group over which to solve. Use COMM_SELF for EVP
mesh - The processor mesh over which the problem is solved.
"""
# the naming conventions here force cartesian, generalize to spheres etc. make sense?
self.mesh = mesh
if not isinstance(nz, list):
nz = [nz]
if not isinstance(Lz, list):
Lz = [Lz]
if len(nz) > 1:
logger.info("Setting compound basis in vertical (z) direction")
z_basis_list = []
Lz_interface = 0.
for iz, nz_i in enumerate(nz):
Lz_top = Lz[iz] + Lz_interface
z_basis = de.Chebyshev('z',
nz_i,
interval=[Lz_interface, Lz_top],
dealias=3 / 2)
z_basis_list.append(z_basis)
Lz_interface = Lz_top
self.compound = True
z_basis = de.Compound('z', tuple(z_basis_list), dealias=3 / 2)
elif len(nz) == 1:
logger.info(
"Setting single chebyshev basis in vertical (z) direction")
z_basis = de.Chebyshev('z',
nz[0],
interval=[0, Lz[0]],
dealias=3 / 2)
if self.dimensions > 1:
x_basis = de.Fourier('x', nx, interval=[0., Lx], dealias=3 / 2)
if self.dimensions > 2:
y_basis = de.Fourier('y', ny, interval=[0., Ly], dealias=3 / 2)
if self.dimensions == 1:
bases = [z_basis]
elif self.dimensions == 2:
bases = [x_basis, z_basis]
elif self.dimensions == 3:
bases = [x_basis, y_basis, z_basis]
else:
logger.error('>3 dimensions not implemented')
self.domain = de.Domain(bases,
grid_dtype=grid_dtype,
comm=comm,
mesh=mesh)
self.z = self.domain.grid(-1) # need to access globally-sized z-basis
self.Lz = self.domain.bases[-1].interval[1] - self.domain.bases[
-1].interval[0] # global size of Lz
self.nz = self.domain.bases[-1].coeff_size
self.z_dealias = self.domain.grid(axis=-1, scales=self.domain.dealias)
if self.dimensions == 1:
self.Lx, self.Ly = 0, 0
if self.dimensions > 1:
self.x = self.domain.grid(0)
self.Lx = self.domain.bases[0].interval[1] - self.domain.bases[
0].interval[0] # global size of Lx
self.nx = self.domain.bases[0].coeff_size
self.delta_x = self.Lx / self.nx
if self.dimensions > 2:
self.y = self.domain.grid(1)
self.Ly = self.domain.bases[1].interval[1] - self.domain.bases[
0].interval[0] # global size of Lx
self.ny = self.domain.bases[1].coeff_size
self.delta_y = self.Ly / self.ny
from dedalus import public as de
import numpy as np
import matplotlib.pyplot as plt
de.logging_setup.rootlogger.setLevel('ERROR')
xbasis = de.Chebyshev('x', 32, interval=(0, 5), dealias=3 / 2)
grid_normal = xbasis.grid(scale=1)
grid_dealias = xbasis.grid(scale=3 / 2)
plt.figure(figsize=(10, 1))
plt.plot(grid_normal, np.zeros_like(grid_normal) + 1, 'o', markersize=5)
plt.plot(grid_dealias, np.zeros_like(grid_dealias) - 1, 'o', markersize=5)
plt.ylim([-2, 2])
plt.gca().yaxis.set_ticks([])
xb1 = de.Chebyshev('x1', 16, interval=(0, 2))
xb2 = de.Chebyshev('x2', 32, interval=(2, 8))
xb3 = de.Chebyshev('x3', 16, interval=(8, 10))
xbasis = de.Compound('x', (xb1, xb2, xb3))
compound_grid = xbasis.grid(scale=1)
plt.figure(figsize=(10, 1))
plt.plot(compound_grid, np.zeros_like(compound_grid), 'o', markersize=5)
plt.gca().yaxis.set_ticks([])
Rayleigh = 2e8*8
Prandtl = 1.
nu = 1/np.sqrt(Rayleigh/Prandtl)
kappa = 1/np.sqrt(Rayleigh*Prandtl)
S = 100
T_top = -60
N2 = np.abs(S*T_top*2)
f = np.sqrt(N2)/(2*np.pi)
N = int(256)
# Create bases and domain
z_basis_conv1 = de.Chebyshev('z', int(N/2), interval=(0,z_match))
z_basis_rad1 = de.Chebyshev('z', int(N),interval=(z_match,Lz))
z_basis1 = de.Compound('z',[z_basis_conv1,z_basis_rad1])
domain1 = de.Domain([z_basis1], grid_dtype=np.complex128, comm=MPI.COMM_SELF)
z_basis_conv2 = de.Chebyshev('z', int(3*N/4), interval=(0,z_match))
z_basis_rad2 = de.Chebyshev('z', int(3*N/2),interval=(z_match,Lz))
z_basis2 = de.Compound('z',[z_basis_conv2,z_basis_rad2])
domain2 = de.Domain([z_basis2], grid_dtype=np.complex128, comm=MPI.COMM_SELF)
z_basis_conv_old = de.Chebyshev('z', int(N), interval=(0,z_match))
z_basis_rad_old = de.Chebyshev('z', int(N/2),interval=(z_match,Lz))
z_basis_old = de.Compound('z',[z_basis_conv_old,z_basis_rad_old])
domain_old = de.Domain([z_basis_old], grid_dtype=np.complex128, comm=MPI.COMM_SELF)
def build_solver(domain, domain_old, N, N_old, k):
# We have N >= N_old
# but N/2 < N_old
rayleigh_benard.add_bc('right(b) = 0')
rayleigh_benard.add_bc('left(w) = 0')
rayleigh_benard.add_bc('right(w) = 0')
if stress_free:
rayleigh_benard.add_bc('left(uz) = 0')
rayleigh_benard.add_bc('right(uz) = 0')
else:
rayleigh_benard.add_bc('left(u) = 0')
rayleigh_benard.add_bc('right(u) = 0')
return rayleigh_benard
@pytest.mark.parametrize('z', [
de.Chebyshev('z', 16, interval=(0, 1)),
de.Compound('z', (de.Chebyshev(
'z', 10, interval=(0, 0.5)), de.Chebyshev('z', 10, interval=(0.5, 1))))
])
@pytest.mark.parametrize('sparse', [True, False])
def test_rbc_growth(z, sparse):
d = de.Domain([z])
rayleigh_benard = rbc_problem('EVP', d)
EP = eig.Eigenproblem(rayleigh_benard)
growth, index, freq = EP.growth_rate(sparse=sparse)
assert np.allclose((growth, freq), (0.0018125573647729994, 0.))
@pytest.mark.parametrize('z', [de.Chebyshev('z', 16, interval=(0, 1))])
def test_rbc_output(z):
def _set_domain(self, nx=256, Lx=4,
ny=256, Ly=4,
nz=128, Lz=1,
grid_dtype=np.float64, comm=MPI.COMM_WORLD, mesh=None):
# the naming conventions here force cartesian, generalize to spheres etc. make sense?
self.mesh=mesh
if not isinstance(nz, list):
nz = [nz]
if not isinstance(Lz, list):
Lz = [Lz]
if len(nz)>1:
logger.info("Setting compound basis in vertical (z) direction")
z_basis_list = []
Lz_interface = 0.
for iz, nz_i in enumerate(nz):
Lz_top = Lz[iz]+Lz_interface
z_basis = de.Chebyshev('z', nz_i, interval=[Lz_interface, Lz_top], dealias=3/2)
z_basis_list.append(z_basis)
Lz_interface = Lz_top
self.compound = True
z_basis = de.Compound('z', tuple(z_basis_list), dealias=3/2)
elif len(nz)==1:
logger.info("Setting single chebyshev basis in vertical (z) direction")
self.compound = False
z_basis = de.Chebyshev('z', nz[0], interval=[0, Lz[0]], dealias=3/2)
if self.dimensions > 1:
x_basis = de.Fourier( 'x', nx, interval=[0., Lx], dealias=3/2)
if self.dimensions > 2:
y_basis = de.Fourier( 'y', ny, interval=[0., Ly], dealias=3/2)
if self.dimensions == 1:
bases = [z_basis]
elif self.dimensions == 2:
bases = [x_basis, z_basis]
elif self.dimensions == 3:
bases = [x_basis, y_basis, z_basis]
else:
logger.error('>3 dimensions not implemented')
self.domain = de.Domain(bases, grid_dtype=grid_dtype, comm=comm, mesh=mesh)
self.z = self.domain.grid(-1) # need to access globally-sized z-basis
self.Lz = self.domain.bases[-1].interval[1] - self.domain.bases[-1].interval[0] # global size of Lz
self.nz = self.domain.bases[-1].coeff_size
self.z_dealias = self.domain.grid(axis=-1, scales=self.domain.dealias)
if self.dimensions == 1:
self.x, self.Lx, self.nx, self.delta_x = None, 0, None, None
self.y, self.Ly, self.ny, self.delta_y = None, 0, None, None
if self.dimensions > 1:
self.x = self.domain.grid(0)
self.Lx = self.domain.bases[0].interval[1] - self.domain.bases[0].interval[0] # global size of Lx
self.nx = self.domain.bases[0].coeff_size
self.delta_x = self.Lx/self.nx
if self.dimensions > 2:
self.y = self.domain.grid(1)
self.Ly = self.domain.bases[1].interval[1] - self.domain.bases[0].interval[0] # global size of Lx
self.ny = self.domain.bases[1].coeff_size
self.delta_y = self.Ly/self.ny
plt.close()
plt.figure(figsize=(6, 1.5), dpi=100)
plt.plot(grid_normal, 0 * grid_normal + 1, 'o', markersize=5)
plt.plot(grid_dealias, 0 * grid_dealias - 1, 'o', markersize=5)
plt.xlabel('x')
plt.title('Chebyshev grid with scales 1 and 3/2')
plt.ylim([-2, 2])
plt.gca().yaxis.set_ticks([])
plt.tight_layout()
plt.savefig("fig/Chebyshev_grid_with_scales_1_and_1.5.png")
# Compound bases
xb1 = de.Chebyshev('x1', 16, interval=(0, 2))
xb2 = de.Chebyshev('x2', 32, interval=(2, 8))
xb3 = de.Chebyshev('x3', 16, interval=(8, 10))
xbasis = de.Compound(
'x', (xb1, xb2, xb3)) # Define compound bases by three individual bases
compound_grid = xbasis.grid(scale=1)
plt.close()
plt.figure(figsize=(6, 1.5), dpi=100)
plt.plot(compound_grid, 0 * compound_grid, 'o', markersize=5)
plt.xlabel('x')
plt.title('Compound Chebyshev grid')
plt.gca().yaxis.set_ticks([])
plt.tight_layout()
plt.savefig("fig/Compound_Chebyshev_grid.png")
# Creating a domain
xbasis = de.Fourier('x', 32, interval=(0, 2), dealias=3 / 2) # Periodic
ybasis = de.Fourier('y', 32, interval=(0, 2), dealias=3 / 2)
