def _linear_Oseen_DIM(self, v: ProxyFunction, w: GridFunction,
dt: Parameter) -> ngs.LinearForm:
"""
Linear form when the diffuse interface method is being used with Oseen linearization. Handles both CG and DG.
"""
L = dt * v * self.f * self.DIM_solver.phi_gfu * ngs.dx
# Define the special DG functions.
n, h, alpha = get_special_functions(self.mesh, self.nu)
if self.DG:
# Conformal Dirichlet BCs for u.
for marker in self.BC.get('dirichlet', {}).get('u', {}):
g = self.BC['dirichlet']['u'][marker]
L += dt * (
v * (-0.5 * w * n * g + 0.5 * ngs.Norm(w * n) * g
) # 1/2 of uw^ (convection)
- self.kv * ngs.InnerProduct(ngs.Grad(
v), ngs.OuterProduct(g, n)) # 1/2 of penalty for u=g
+ self.kv * alpha * g *
v # 1/2 of penalty for u=g from ∇u^ on 𝚪_D
) * self._ds(marker)
# Penalty term for DIM Dirichlet BCs. This is the Nitsche method.
for marker in self.DIM_BC.get('dirichlet', {}).get('u', {}):
# Penalty terms for DIM Dirichlet BCs
g = self.DIM_BC['dirichlet']['u'][marker]
L += dt * (
v * (0.5 * w * self.DIM_solver.grad_phi_gfu * g +
0.5 * ngs.Norm(w * -self.DIM_solver.grad_phi_gfu) * g) +
self.kv * ngs.InnerProduct(
ngs.Grad(v),
ngs.OuterProduct(g, self.DIM_solver.grad_phi_gfu)) +
self.kv * alpha * g * v * self.DIM_solver.mag_grad_phi_gfu
) * self.DIM_solver.mask_gfu_dict[marker] * ngs.dx
# Conformal stress BC
for marker in self.BC.get('stress', {}).get('stress', {}):
h = self.BC['stress']['stress'][marker]
if self.DG:
L += dt * v * h * self._ds(marker)
else:
L += dt * v.Trace() * h * self._ds(marker)
# TODO: Add non-Dirichlet DIM BCs.
return L
def _linear_IMEX_no_DIM(self, v: ProxyFunction, gfu_u: GridFunction,
dt: Parameter) -> ngs.LinearForm:
"""
Linear form when IMEX linearization is being used and the diffuse interface method is not being used.
Handles both CG and DG.
"""
L = dt * (v * self.f -
ngs.InnerProduct(ngs.Grad(gfu_u) * gfu_u, v)) * ngs.dx
# Define the special DG functions.
n, h, alpha = get_special_functions(self.mesh, self.nu)
# Dirichlet BC for u
if self.DG:
for marker in self.BC.get('dirichlet', {}).get('u', {}):
g = self.BC['dirichlet']['u'][marker]
L += dt * (
-self.kv * ngs.InnerProduct(ngs.Grad(
v), ngs.OuterProduct(g, n)) # 1/2 of penalty for u=g
+ self.kv * alpha * g * v # 1/2 of penalty for u=g
# from ∇u^ on 𝚪_D
) * self._ds(marker)
# Stress BC
for marker in self.BC.get('stress', {}).get('stress', {}):
h = self.BC['stress']['stress'][marker]
if self.DG:
L += dt * v * h * self._ds(marker)
else:
L += dt * v.Trace() * h * self._ds(marker)
return L
def _Linear_no_DIM(self, v: ProxyFunction,
dt: Parameter) -> ngs.LinearForm:
""" Linear form when the diffuse interface method is not being used. Handles both CG and DG. """
# Define the base linear form
L = dt * v * self.f * ngs.dx
# Define the special DG functions.
n, _, alpha = get_special_functions(self.mesh, self.nu)
if self.DG:
# Dirichlet BCs for u
for marker in self.BC.get('dirichlet', {}).get('u', {}):
g = self.BC['dirichlet']['u'][marker]
L += dt * self.kv * (
alpha * g * v # 1/2 of penalty for u=g from ∇u^ on 𝚪_D
- ngs.InnerProduct(ngs.Grad(v), ngs.OuterProduct(
g, n)) # 1/2 of penalty for u=g
) * self._ds(marker)
# Stress BCs
for marker in self.BC.get('stress', {}).get('stress', {}):
h = self.BC['stress']['stress'][marker]
if self.DG:
L += dt * v * h * self._ds(marker)
else:
L += dt * v.Trace() * h * self._ds(marker)
return L
def _bilinear_no_DIM(self, u: ProxyFunction, p: ProxyFunction,
v: ProxyFunction, q: ProxyFunction, dt: Parameter,
explicit_bilinear: bool) -> ngs.BilinearForm:
""" Bilinear form when the diffuse interface method is not being used. Handles both CG and DG. """
a = dt * (
self.kv *
ngs.InnerProduct(ngs.Grad(u), ngs.Grad(v)) # Stress, Newtonian
- ngs.div(u) * q # Conservation of mass
- ngs.div(v) * p # Pressure
- 1e-10 * p * q # Stabilization term
) * ngs.dx
# Define the special DG functions.
n, _, alpha = get_special_functions(self.mesh, self.nu)
# Bulk of Bilinear form
if self.DG:
jump_u = jump(u)
avg_grad_u = grad_avg(u)
jump_v = jump(v)
avg_grad_v = grad_avg(v)
if not explicit_bilinear:
# Penalty for discontinuities
a += -dt * self.kv * (
ngs.InnerProduct(avg_grad_u, ngs.OuterProduct(jump_v,
n)) # Stress
+ ngs.InnerProduct(avg_grad_v, ngs.OuterProduct(jump_u,
n)) # U
- alpha * ngs.InnerProduct(
jump_u, jump_v) # Term for u+=u- on 𝚪_I from ∇u^
) * ngs.dx(skeleton=True)
# Penalty for dirichlet BCs
if self.dirichlet_names.get('u', None) is not None:
a += -dt * self.kv * (
ngs.InnerProduct(ngs.Grad(u), ngs.OuterProduct(
v, n)) # ∇u^ = ∇u
+ ngs.InnerProduct(ngs.Grad(v), ngs.OuterProduct(
u, n)) # 1/2 of penalty for u=g on 𝚪_D
- alpha * u *
v # 1/2 of penalty term for u=g on 𝚪_D from ∇u^
) * self._ds(self.dirichlet_names['u'])
return a
def _linear_DIM(self, v: ProxyFunction, dt: Parameter) -> ngs.LinearForm:
""" Linear form when the diffuse interface method is being used. Handles both CG and DG. """
# Define the base linear form
L = dt * v * self.f * self.DIM_solver.phi_gfu * ngs.dx
# Define the special DG functions.
n, _, alpha = get_special_functions(self.mesh, self.nu)
if self.DG:
# Conformal Dirichlet BCs for u
for marker in self.BC.get('dirichlet', {}).get('u', {}):
g = self.BC['dirichlet']['u'][marker]
L += dt * self.kv * (
alpha * g * v # 1/2 of penalty for u=g from ∇u^ on 𝚪_D
- ngs.InnerProduct(ngs.Grad(v), ngs.OuterProduct(
g, n)) # 1/2 of penalty for u=g
) * self._ds(marker)
# Penalty term for DIM Dirichlet BCs. This is the Nitsche method.
for marker in self.DIM_BC.get('dirichlet', {}).get('u', {}):
# Penalty terms for DIM Dirichlet BCs
g = self.DIM_BC['dirichlet']['u'][marker]
L += dt * self.kv * (
alpha * g * v * self.DIM_solver.mag_grad_phi_gfu +
ngs.InnerProduct(
ngs.Grad(v),
ngs.OuterProduct(g, self.DIM_solver.grad_phi_gfu))
) * self.DIM_solver.mask_gfu_dict[marker] * ngs.dx
# Stress BCs
for marker in self.BC.get('stress', {}).get('stress', {}):
h = self.BC['stress']['stress'][marker]
if self.DG:
L += dt * v * h * self._ds(marker)
else:
L += dt * v.Trace() * h * self._ds(marker)
# TODO: Add non-Dirichlet DIM BCs.
return L
def _bilinear_IMEX_no_DIM(self, u: ProxyFunction, p: ProxyFunction,
v: ProxyFunction, q: ProxyFunction,
dt: Parameter,
explicit_bilinear) -> ngs.BilinearForm:
"""
Bilinear form when IMEX linearization is being used and the diffuse interface method is not being used.
Handles both CG and DG.
"""
# Define the special DG functions.
n, _, alpha = get_special_functions(self.mesh, self.nu)
p_I = construct_p_mat(p, self.mesh.dim)
a = dt * (
self.kv *
ngs.InnerProduct(ngs.Grad(u), ngs.Grad(v)) # Stress, Newtonian
- ngs.div(u) * q # Conservation of mass
- ngs.div(v) * p # Pressure
- 1e-10 * p * q # Stabilization term
) * ngs.dx
if self.DG:
jump_u = jump(u)
avg_grad_u = grad_avg(u)
jump_v = jump(v)
avg_grad_v = grad_avg(v)
if not explicit_bilinear:
# Penalty for discontinuities
a += dt * (
-self.kv * ngs.InnerProduct(
avg_grad_u, ngs.OuterProduct(jump_v, n)) # Stress
- self.kv * ngs.InnerProduct(
avg_grad_v, ngs.OuterProduct(jump_u, n)) # U
+ self.kv * alpha * ngs.InnerProduct(
jump_u, jump_v) # Penalty term for u+=u- on 𝚪_I
# from ∇u^
) * ngs.dx(skeleton=True)
# Penalty for dirichlet BCs
if self.dirichlet_names.get('u', None) is not None:
a += dt * (
-self.kv * ngs.InnerProduct(
ngs.Grad(u), ngs.OuterProduct(v, n)) # ∇u^ = ∇u
- self.kv *
ngs.InnerProduct(ngs.Grad(v), ngs.OuterProduct(
u, n)) # 1/2 of penalty for u=g on
+ self.kv * alpha * u * v # 1/2 of penalty term for u=g
# on 𝚪_D from ∇u^
) * self._ds(self.dirichlet_names['u'])
# Parallel Flow BC
for marker in self.BC.get('parallel', {}).get('parallel', {}):
if self.DG:
a += dt * v * (u -
n * ngs.InnerProduct(u, n)) * self._ds(marker)
else:
a += dt * v.Trace() * (
u.Trace() -
n * ngs.InnerProduct(u.Trace(), n)) * self._ds(marker)
return a
def _bilinear_IMEX_DIM(self, u: ProxyFunction, p: ProxyFunction,
v: ProxyFunction, q: ProxyFunction, dt: Parameter,
explicit_bilinear) -> ngs.BilinearForm:
"""
Bilinear form when the diffuse interface method is being used with IMEX linearization. Handles both CG and DG.
"""
# Define the special DG functions.
n, _, alpha = get_special_functions(self.mesh, self.nu)
p_I = construct_p_mat(p, self.mesh.dim)
a = dt * (
self.kv *
ngs.InnerProduct(ngs.Grad(u), ngs.Grad(v)) # Stress, Newtonian
- ngs.div(u) * q # Conservation of mass
- ngs.div(v) * p # Pressure
- 1e-10 * p * q # Stabilization term
) * self.DIM_solver.phi_gfu * ngs.dx
# Force u and grad(p) to zero where phi is zero.
a += dt * (
alpha * u *
v # Removing the alpha penalty following discussion with James.
- p * (ngs.div(v))) * (1.0 - self.DIM_solver.phi_gfu) * ngs.dx
if self.DG:
jump_u = jump(u)
avg_grad_u = grad_avg(u)
jump_v = jump(v)
avg_grad_v = grad_avg(v)
if not explicit_bilinear:
# Penalty for discontinuities
a += dt * (
-self.kv * ngs.InnerProduct(
avg_grad_u, ngs.OuterProduct(jump_v, n)) # Stress
- self.kv * ngs.InnerProduct(
avg_grad_v, ngs.OuterProduct(jump_u, n)) # U
+ self.kv * alpha * ngs.InnerProduct(
jump_u, jump_v) # Penalty term for u+=u- on 𝚪_I
# from ∇u^
) * self.DIM_solver.phi_gfu * ngs.dx(skeleton=True)
if self.dirichlet_names.get('u', None) is not None:
# Penalty terms for conformal Dirichlet BCs
a += dt * (
-self.kv * ngs.InnerProduct(
ngs.Grad(u), ngs.OuterProduct(v, n)) # ∇u^ = ∇u
- self.kv *
ngs.InnerProduct(ngs.Grad(v), ngs.OuterProduct(
u, n)) # 1/2 of penalty for u=g on
+ self.kv * alpha * u *
v # 1/2 of penalty term for u=g on 𝚪_D from ∇u^
) * self._ds(self.dirichlet_names['u'])
# Penalty term for DIM Dirichlet BCs. This is the Nitsche method.
for marker in self.DIM_BC.get('dirichlet', {}).get('u', {}):
a += dt * (self.kv * ngs.InnerProduct(
ngs.Grad(u), ngs.OuterProduct(v, self.DIM_solver.grad_phi_gfu))
+ self.kv * ngs.InnerProduct(
ngs.Grad(v),
ngs.OuterProduct(u, self.DIM_solver.grad_phi_gfu)) +
self.kv * alpha * u * v *
self.DIM_solver.mag_grad_phi_gfu
) * self.DIM_solver.mask_gfu_dict[marker] * ngs.dx
# Conformal parallel flow BC
for marker in self.BC.get('parallel', {}).get('parallel', {}):
if self.DG:
a += dt * v * (u -
n * ngs.InnerProduct(u, n)) * self._ds(marker)
else:
a += dt * v.Trace() * (
u.Trace() -
n * ngs.InnerProduct(u.Trace(), n)) * self._ds(marker)
# TODO: Add non-Dirichlet DIM BCs.
return a
def _bilinear_DIM(self, u: ProxyFunction, p: ProxyFunction,
v: ProxyFunction, q: ProxyFunction, dt: Parameter,
explicit_bilinear: bool) -> ngs.BilinearForm:
""" Bilinear form when the diffuse interface method is being used. Handles both CG and DG. """
# Define the special DG functions.
n, _, alpha = get_special_functions(self.mesh, self.nu)
a = dt * (
self.kv *
ngs.InnerProduct(ngs.Grad(u), ngs.Grad(v)) # Stress, Newtonian
- ngs.div(u) * q # Conservation of mass
- ngs.div(v) * p # Pressure
#- 1e-10 * p * q # Stabilization term.
) * self.DIM_solver.phi_gfu * ngs.dx
# Force u and grad(p) to zero where phi is zero.
a += dt * (alpha * u * v -
p * ngs.div(v)) * (1.0 - self.DIM_solver.phi_gfu) * ngs.dx
# Bulk of Bilinear form
if self.DG:
jump_u = jump(u)
avg_grad_u = grad_avg(u)
jump_v = jump(v)
avg_grad_v = grad_avg(v)
if not explicit_bilinear:
# Penalty for discontinuities
a += -dt * self.kv * (
ngs.InnerProduct(avg_grad_u, ngs.OuterProduct(jump_v,
n)) # Stress
+ ngs.InnerProduct(avg_grad_v, ngs.OuterProduct(jump_u,
n)) # U
- alpha * ngs.InnerProduct(
jump_u, jump_v) # Term for u+=u- on 𝚪_I from ∇u^
) * self.DIM_solver.phi_gfu * ngs.dx(skeleton=True)
if self.dirichlet_names.get('u', None) is not None:
# Penalty terms for conformal Dirichlet BCs
a += -dt * self.kv * (
ngs.InnerProduct(ngs.Grad(u), ngs.OuterProduct(
v, n)) # ∇u^ = ∇u
+ ngs.InnerProduct(ngs.Grad(v), ngs.OuterProduct(
u, n)) # 1/2 of penalty for u=g on 𝚪_D
- alpha * u *
v # 1/2 of penalty term for u=g on 𝚪_D from ∇u^
) * self._ds(self.dirichlet_names['u'])
# Penalty term for DIM Dirichlet BCs. This is the Nitsche method.
for marker in self.DIM_BC.get('dirichlet', {}).get('u', {}):
a += dt * self.kv * (
ngs.InnerProduct(
ngs.Grad(u),
ngs.OuterProduct(v, self.DIM_solver.grad_phi_gfu)) +
ngs.InnerProduct(
ngs.Grad(v),
ngs.OuterProduct(u, self.DIM_solver.grad_phi_gfu)) +
alpha * u * v * self.DIM_solver.mag_grad_phi_gfu
) * self.DIM_solver.mask_gfu_dict[marker] * ngs.dx
# TODO: Add non-Dirichlet DIM BCs.
return a