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from lbmpy.methods.creationfunctions import (
create_mrt_orthogonal, create_mrt_raw, create_srt, create_trt, create_trt_kbc,
create_trt_with_magic_number, create_with_continuous_maxwellian_eq_moments,
create_with_discrete_maxwellian_eq_moments, mrt_orthogonal_modes_literature,
create_centered_cumulant_model, create_with_default_polynomial_cumulants)
from lbmpy.methods.abstractlbmethod import AbstractLbMethod, RelaxationInfo
from lbmpy.methods.conservedquantitycomputation import AbstractConservedQuantityComputation
from .conservedquantitycomputation import DensityVelocityComputation
__all__ = ['RelaxationInfo', 'AbstractLbMethod',
'AbstractConservedQuantityComputation', 'DensityVelocityComputation',
'create_srt', 'create_trt', 'create_trt_with_magic_number', 'create_trt_kbc',
'create_mrt_orthogonal', 'create_mrt_raw',
'create_with_continuous_maxwellian_eq_moments', 'create_with_discrete_maxwellian_eq_moments',
'mrt_orthogonal_modes_literature', 'create_centered_cumulant_model',
'create_with_default_polynomial_cumulants']
from .force_model import CenteredCumulantForceModel
from .centeredcumulantmethod import CenteredCumulantBasedLbMethod
__all__ = ["CenteredCumulantForceModel", "CenteredCumulantBasedLbMethod"]
from lbmpy.stencils import get_stencil
import sympy as sp
from pystencils.stencil import have_same_entries
from lbmpy.moments import MOMENT_SYMBOLS, moment_sort_key, exponent_to_polynomial_representation
def statistical_quantity_symbol(name, exponents):
return sp.Symbol(f'{name}_{"".join(str(i) for i in exponents)}')
def exponent_tuple_sort_key(x):
return moment_sort_key(exponent_to_polynomial_representation(x))
def get_default_polynomial_cumulants_for_stencil(stencil):
"""
Returns default groups of cumulants to be relaxed with common relaxation rates as stated in literature.
Groups are ordered like this:
- First group is density
- Second group are the momentum modes
- Third group are the shear modes
- Fourth group is the bulk mode
- Remaining groups do not govern hydrodynamic properties
"""
x, y, z = MOMENT_SYMBOLS
if have_same_entries(stencil, get_stencil("D2Q9")):
# Cumulants of the D2Q9 stencil up to third order are equal to
# the central moments; only the fourth-order cumulant x**2 * y**2
# has a more complicated form. They can be arranged into groups
# for the preservation of rotational invariance as described by
# Martin Geier in his dissertation.
#
# Reference: Martin Geier. Ab inito derivation of the cascaded Lattice Boltzmann
# Automaton. Dissertation. University of Freiburg. 2006.
return [
[sp.sympify(1)], # density is conserved
[x, y], # momentum is relaxed for cumulant forcing
[x * y, x**2 - y**2], # shear
[x**2 + y**2], # bulk
[x**2 * y, x * y**2],
[x**2 * y**2]
]
elif have_same_entries(stencil, get_stencil("D3Q19")):
# D3Q19 cumulants are obtained by pruning the D3Q27 cumulant set as
# described by Coreixas, 2019.
return [
[sp.sympify(1)], # density is conserved
[x, y, z], # momentum might be affected by forcing
[x * y,
x * z,
y * z,
x ** 2 - y ** 2,
x ** 2 - z ** 2], # shear
[x ** 2 + y ** 2 + z ** 2], # bulk
[x * y ** 2 + x * z ** 2,
x ** 2 * y + y * z ** 2,
x ** 2 * z + y ** 2 * z],
[x * y ** 2 - x * z ** 2,
x ** 2 * y - y * z ** 2,
x ** 2 * z - y ** 2 * z],
[x ** 2 * y ** 2 - 2 * x ** 2 * z ** 2 + y ** 2 * z ** 2,
x ** 2 * y ** 2 + x ** 2 * z ** 2 - 2 * y ** 2 * z ** 2],
[x ** 2 * y ** 2 + x ** 2 * z ** 2 + y ** 2 * z ** 2]
]
elif have_same_entries(stencil, get_stencil("D3Q27")):
# Cumulants grouped to preserve rotational invariance as described by Geier et al, 2015
return [
[sp.sympify(1)], # density is conserved
[x, y, z], # momentum might be affected by forcing
[x * y,
x * z,
y * z,
x ** 2 - y ** 2,
x ** 2 - z ** 2], # shear
[x ** 2 + y ** 2 + z ** 2], # bulk
[x * y ** 2 + x * z ** 2,
x ** 2 * y + y * z ** 2,
x ** 2 * z + y ** 2 * z],
[x * y ** 2 - x * z ** 2,
x ** 2 * y - y * z ** 2,
x ** 2 * z - y ** 2 * z],
[x * y * z],
[x ** 2 * y ** 2 - 2 * x ** 2 * z ** 2 + y ** 2 * z ** 2,
x ** 2 * y ** 2 + x ** 2 * z ** 2 - 2 * y ** 2 * z ** 2],
[x ** 2 * y ** 2 + x ** 2 * z ** 2 + y ** 2 * z ** 2],
[x ** 2 * y * z,
x * y ** 2 * z,
x * y * z ** 2],
[x ** 2 * y ** 2 * z,
x ** 2 * y * z ** 2,
x * y ** 2 * z ** 2],
[x ** 2 * y ** 2 * z ** 2]
]
else:
raise ValueError("No default set of cumulants is available for this stencil. "
"Please specify your own set of polynomial cumulants.")
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def analytic_rising_speed(gravitational_acceleration, bubble_diameter, viscosity_gas):
r"""
Calculated the analytical rising speed of a bubble. This is the expected end rising speed.
Args:
gravitational_acceleration: the gravitational acceleration acting in the simulation scenario. Usually it gets
calculated based on dimensionless parameters which describe the scenario
bubble_diameter: the diameter of the bubble at the beginning of the simulation
viscosity_gas: the viscosity of the fluid inside the bubble
"""
result = -(gravitational_acceleration * bubble_diameter * bubble_diameter) / (12.0 * viscosity_gas)
return result
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