class test_fillament_current_source(unittest.TestCase):
test_data_file = 'fillament_source_test_data.pickle'
rtol=1e-10
atol=1e-12
def setUp(self):
desired_file = Paths.get_module_path_file(self.test_data_file, __file__)
env = self.environment = FillamentEnvironment(desired_file)
self.DUT = FillamentCurrentSource()
self.DUT.set_function_space(env.discretisation_space)
self.DUT.set_no_integration_points(env.no_integration_points)
self.DUT.set_source_endpoints(env.source_endpoints)
self.DUT.set_value(env.I)
def test_source(self):
actual_dofnos, actual_rhs = self.DUT.get_contribution()
sortind = np.argsort(actual_dofnos)
actual_dofnos = actual_dofnos[sortind].copy()
actual_rhs = actual_rhs[sortind].copy()
self.assertTrue(np.all(actual_dofnos == self.environment.desired_dofnos))
self.assertTrue(np.allclose(actual_rhs, self.environment.desired_rhs_contribs,
rtol=self.rtol, atol=self.atol))
def test_negative_direction(self):
dofnos, rhs = self.DUT.get_contribution()
sortind = np.argsort(dofnos)
dofnos = dofnos[sortind]
rhs = rhs[sortind]
self.DUT.set_source_endpoints(-self.DUT.source_endpoints)
dofnos_neg, rhs_neg = self.DUT.get_contribution()
sortind = np.argsort(dofnos_neg)
dofnos_neg = dofnos_neg[sortind]
rhs_neg = rhs_neg[sortind]
self.assertTrue(np.all(dofnos == dofnos_neg))
self.assertTrue(np.allclose(rhs, -rhs_neg))
def get_current_source(self):
"""get FillamentCurrentSource instance
Each call results in a new instance being instantiated.
"""
cs = FillamentCurrentSource()
cs.set_function_space(self.function_space)
cs.set_source_endpoints(self.source_parameters['endpoints'])
cs.set_value(self.source_parameters['I'])
return cs
def test_ff_error(self):
sucemfem.Utilities.Optimization.set_dolfin_optimisation(True)
### Postprocessing requests
theta_deg = N.linspace(10, 170, 161)
no_ff_pts = len(theta_deg)
phi_deg = N.zeros(no_ff_pts)
### Problem parameters
freq = 1.0e+9 # Frequency
lam = c0/freq
l = lam/4 # Dipole length
I = 1.0 # Dipole current
source_direction_z = N.array([0,0,1.]) # Source orientation
source_direction_x = N.array([1.,0,0]) # Source orientation
source_direction_y = N.array([0,1,0.]) # Source orientation
source_centre = N.array([0,0,0.]) # Position of the source
source_endpoints_z = N.array(
[-source_direction_z*l/2, source_direction_z*l/2]) + source_centre
source_endpoints_x = N.array(
[-source_direction_x*l/2, source_direction_x*l/2]) + source_centre
source_endpoints_y = N.array(
[-source_direction_y*l/2, source_direction_y*l/2]) + source_centre
### Discretisation settings
order = 2
domain_size = N.array([lam]*3)*1
max_edge_len = lam/6
mesh = get_centred_cube(domain_size, max_edge_len)
### Implementation
#
## Set up materials function with all free-space
material_mesh_func = dolfin.MeshFunction('uint', mesh, 3)
material_mesh_func.set_all(0)
materials = {0:dict(eps_r=1, mu_r=1),}
## Set up 1st-order analytical ABC
abc = ABCBoundaryCondition()
abc.set_region_number(1)
bcs = BoundaryConditions()
bcs.add_boundary_condition(abc)
## Set up high level problem class
dp = DrivenProblemABC()
dp.set_mesh(mesh)
dp.set_basis_order(order)
dp.set_material_regions(materials)
dp.set_region_meshfunction(material_mesh_func)
dp.set_boundary_conditions(bcs)
## Set up current fillament source
current_sources = sucemfem.Sources.current_source.CurrentSources()
fillament_source = FillamentCurrentSource()
fillament_source.no_integration_points = 1000
fillament_source.set_source_endpoints(source_endpoints_z)
fillament_source.set_value(I)
current_sources.add_source(fillament_source)
## Set source in problem container
dp.set_sources(current_sources)
dp.init_problem()
dp.set_frequency(freq)
## Get sytem LHS matrix and RHS Vector
A = dp.get_LHS_matrix()
b_z = dp.get_RHS()
fillament_source.set_source_endpoints(source_endpoints_x)
b_x = dp.get_RHS()
fillament_source.set_source_endpoints(source_endpoints_y)
b_y = dp.get_RHS()
#import pdb ; pdb.set_trace()
A
print 'solve using UMFPack'
umf_solver = sucemfem.Utilities.LinalgSolvers.UMFPACKSolver(A)
x_z = umf_solver.solve(b_z)
x_x = umf_solver.solve(b_x)
x_y = umf_solver.solve(b_y)
## Post-process solution to obtain far-field
print 'calculating far field'
surf_ntff = surface_ntff.NTFF(dp.function_space)
surf_ntff.set_dofs(x_z)
surf_ntff.set_frequency(freq)
surf_E_ff_z = N.array([surf_ntff.calc_pt(th_deg, ph_deg)
for th_deg, ph_deg in zip(theta_deg, phi_deg)])
surf_E_theta_z = surf_E_ff_z[:,0]
surf_E_phi_z = surf_E_ff_z[:,1]
surf_ntff.set_dofs(x_x)
surf_E_ff_x = N.array([surf_ntff.calc_pt(th_deg+90, ph_deg)
for th_deg, ph_deg in zip(theta_deg, phi_deg)])
surf_E_theta_x = surf_E_ff_x[:,0]
surf_E_phi_x = surf_E_ff_x[:,1]
surf_ntff.set_dofs(x_y)
surf_E_ff_y = N.array([surf_ntff.calc_pt(th_deg+90, ph_deg)
for th_deg, ph_deg in zip(theta_deg, phi_deg)])
surf_E_theta_y = surf_E_ff_y[:,0]
surf_E_phi_y = surf_E_ff_y[:,1]
## Calculate some errors relative to the analytical solution
an_E_theta = [current_fillament_farfield.eval_E_theta(freq, l, I, th)
for th in N.deg2rad(theta_deg)]
err_z = normalised_RMS(
surf_E_theta_z, an_E_theta, surf_E_phi_z)
err_theta_z = normalised_RMS(surf_E_theta_z, an_E_theta)
err_abs_theta_z = normalised_RMS(N.abs(surf_E_theta_z),
N.abs(an_E_theta))
err_x = normalised_RMS(
surf_E_theta_x, an_E_theta, surf_E_phi_x)
err_theta_x = normalised_RMS(surf_E_theta_x, an_E_theta)
err_abs_theta_x = normalised_RMS(N.abs(surf_E_theta_x),
N.abs(an_E_theta))
err_y = normalised_RMS(
surf_E_theta_y, an_E_theta, surf_E_phi_y)
err_theta_y = normalised_RMS(surf_E_theta_y, an_E_theta)
err_abs_theta_y = normalised_RMS(N.abs(surf_E_theta_y),
N.abs(an_E_theta))
print 'Far-field RMS error: ', err_z, err_x, err_y
# Expected error for lam/6 mesh, 2nd order discretisation,
# lam/4 current fillament source is ~4.685%
self.assertTrue(err_z < 4.7)
self.assertTrue(err_x < 4.7)
self.assertTrue(err_z < 4.7)
def test_ff_error(self):
sucemfem.Utilities.Optimization.set_dolfin_optimisation(True)
### Postprocessing requests
theta_deg = N.linspace(10, 170, 161)
no_ff_pts = len(theta_deg)
phi_deg = N.zeros(no_ff_pts)
### Problem parameters
freq = 1.0e+9 # Frequency
lam = c0 / freq
l = lam / 4 # Dipole length
I = 1.0 # Dipole current
source_direction_z = N.array([0, 0, 1.]) # Source orientation
source_direction_x = N.array([1., 0, 0]) # Source orientation
source_direction_y = N.array([0, 1, 0.]) # Source orientation
source_centre = N.array([0, 0, 0.]) # Position of the source
source_endpoints_z = N.array([
-source_direction_z * l / 2, source_direction_z * l / 2
]) + source_centre
source_endpoints_x = N.array([
-source_direction_x * l / 2, source_direction_x * l / 2
]) + source_centre
source_endpoints_y = N.array([
-source_direction_y * l / 2, source_direction_y * l / 2
]) + source_centre
### Discretisation settings
order = 2
domain_size = N.array([lam] * 3) * 1
max_edge_len = lam / 6
mesh = get_centred_cube(domain_size, max_edge_len)
### Implementation
#
## Set up materials function with all free-space
material_mesh_func = dolfin.MeshFunction('uint', mesh, 3)
material_mesh_func.set_all(0)
materials = {
0: dict(eps_r=1, mu_r=1),
}
## Set up 1st-order analytical ABC
abc = ABCBoundaryCondition()
abc.set_region_number(1)
bcs = BoundaryConditions()
bcs.add_boundary_condition(abc)
## Set up high level problem class
dp = DrivenProblemABC()
dp.set_mesh(mesh)
dp.set_basis_order(order)
dp.set_material_regions(materials)
dp.set_region_meshfunction(material_mesh_func)
dp.set_boundary_conditions(bcs)
## Set up current fillament source
current_sources = sucemfem.Sources.current_source.CurrentSources()
fillament_source = FillamentCurrentSource()
fillament_source.no_integration_points = 1000
fillament_source.set_source_endpoints(source_endpoints_z)
fillament_source.set_value(I)
current_sources.add_source(fillament_source)
## Set source in problem container
dp.set_sources(current_sources)
dp.init_problem()
dp.set_frequency(freq)
## Get sytem LHS matrix and RHS Vector
A = dp.get_LHS_matrix()
b_z = dp.get_RHS()
fillament_source.set_source_endpoints(source_endpoints_x)
b_x = dp.get_RHS()
fillament_source.set_source_endpoints(source_endpoints_y)
b_y = dp.get_RHS()
#import pdb ; pdb.set_trace()
A
print 'solve using UMFPack'
umf_solver = sucemfem.Utilities.LinalgSolvers.UMFPACKSolver(A)
x_z = umf_solver.solve(b_z)
x_x = umf_solver.solve(b_x)
x_y = umf_solver.solve(b_y)
## Post-process solution to obtain far-field
print 'calculating far field'
surf_ntff = surface_ntff.NTFF(dp.function_space)
surf_ntff.set_dofs(x_z)
surf_ntff.set_frequency(freq)
surf_E_ff_z = N.array([
surf_ntff.calc_pt(th_deg, ph_deg)
for th_deg, ph_deg in zip(theta_deg, phi_deg)
])
surf_E_theta_z = surf_E_ff_z[:, 0]
surf_E_phi_z = surf_E_ff_z[:, 1]
surf_ntff.set_dofs(x_x)
surf_E_ff_x = N.array([
surf_ntff.calc_pt(th_deg + 90, ph_deg)
for th_deg, ph_deg in zip(theta_deg, phi_deg)
])
surf_E_theta_x = surf_E_ff_x[:, 0]
surf_E_phi_x = surf_E_ff_x[:, 1]
surf_ntff.set_dofs(x_y)
surf_E_ff_y = N.array([
surf_ntff.calc_pt(th_deg + 90, ph_deg)
for th_deg, ph_deg in zip(theta_deg, phi_deg)
])
surf_E_theta_y = surf_E_ff_y[:, 0]
surf_E_phi_y = surf_E_ff_y[:, 1]
## Calculate some errors relative to the analytical solution
an_E_theta = [
current_fillament_farfield.eval_E_theta(freq, l, I, th)
for th in N.deg2rad(theta_deg)
]
err_z = normalised_RMS(surf_E_theta_z, an_E_theta, surf_E_phi_z)
err_theta_z = normalised_RMS(surf_E_theta_z, an_E_theta)
err_abs_theta_z = normalised_RMS(N.abs(surf_E_theta_z),
N.abs(an_E_theta))
err_x = normalised_RMS(surf_E_theta_x, an_E_theta, surf_E_phi_x)
err_theta_x = normalised_RMS(surf_E_theta_x, an_E_theta)
err_abs_theta_x = normalised_RMS(N.abs(surf_E_theta_x),
N.abs(an_E_theta))
err_y = normalised_RMS(surf_E_theta_y, an_E_theta, surf_E_phi_y)
err_theta_y = normalised_RMS(surf_E_theta_y, an_E_theta)
err_abs_theta_y = normalised_RMS(N.abs(surf_E_theta_y),
N.abs(an_E_theta))
print 'Far-field RMS error: ', err_z, err_x, err_y
# Expected error for lam/6 mesh, 2nd order discretisation,
# lam/4 current fillament source is ~4.685%
self.assertTrue(err_z < 4.7)
self.assertTrue(err_x < 4.7)
self.assertTrue(err_z < 4.7)
abc = sucemfem.BoundaryConditions.ABC.ABCBoundaryCondition() abc.set_region_number(1) bcs = sucemfem.BoundaryConditions.container.BoundaryConditions() bcs.add_boundary_condition(abc) ## Set up high level problem class dp = DrivenProblemABC() dp.set_mesh(mesh) dp.set_basis_order(order) dp.set_material_regions(materials) dp.set_region_meshfunction(material_mesh_func) dp.set_boundary_conditions(bcs) ## Set up current fillament source current_sources = sucemfem.Sources.current_source.CurrentSources() fillament_source = FillamentCurrentSource() fillament_source.set_source_endpoints(source_endpoints) fillament_source.set_value(I) current_sources.add_source(fillament_source) ## Set source in problem container dp.set_sources(current_sources) dp.init_problem() dp.set_frequency(freq) ## Get sytem LHS matrix and RHS Vector A = dp.get_LHS_matrix() b = dp.get_RHS() ## Solve. Choose spare solver if UMFPack runsout of memory # print 'solve using scipy bicgstab' # x = solve_sparse_system ( A, b, preconditioner_type='diagonal') # x = solve_sparse_system ( A, b ) print 'solve using UMFPack' umf_solver = sucemfem.Utilities.LinalgSolvers.UMFPACKSolver(A)
abc = ABCBoundaryCondition() abc.set_region_number(1) bcs = BoundaryConditions() bcs.add_boundary_condition(abc) ## Set up high level problem class dp = DrivenProblemABC() dp.set_mesh(mesh) dp.set_basis_order(order) dp.set_material_regions(materials) dp.set_region_meshfunction(material_mesh_func) dp.set_boundary_conditions(bcs) ## Set up current fillament source current_sources = sucemfem.Sources.current_source.CurrentSources() fillament_source = FillamentCurrentSource() fillament_source.set_source_endpoints(source_endpoints) fillament_source.set_value(I) current_sources.add_source(fillament_source) ## Set source in problem container dp.set_sources(current_sources) dp.init_problem() dp.set_frequency(freq) ## Get sytem LHS matrix and RHS Vector A = dp.get_LHS_matrix() b = dp.get_RHS() ## Solve. Choose spare solver if UMFPack runsout of memory # print 'solve using scipy bicgstab' # x = solve_sparse_system ( A, b, preconditioner_type='diagonal') print 'solve using UMFPack' umf_solver = sucemfem.Utilities.LinalgSolvers.UMFPACKSolver(A) x = umf_solver.solve(b)
l = lam/4 # Dipole length
# l = 2.3*lam # Dipole length
I = 1.0 # Dipole current
source_direction = np.array([0,0,1.]) # Source orientation
source_centre = np.array([0,0,0.]) # Position of the source
source_endpoints = np.array(
[-source_direction*l/2, source_direction*l/2]) + source_centre
## Discretisation settings
order = 2
domain_size = np.array([lam]*3)/2
max_edge_len = lam/3
mesh = get_centred_cube(domain_size, max_edge_len)
## Implementation
V = dolfin.FunctionSpace(mesh, "Nedelec 1st kind H(curl)", order)
dipole_source = FillamentCurrentSource()
dipole_source.no_integration_points = 20
dipole_source.set_function_space(V)
dipole_source.set_source_endpoints(source_endpoints)
dipole_source.set_value(I)
dofnos, rhs_contribs = dipole_source.get_contribution()
sortind = np.argsort(dofnos)
dofnos = dofnos[sortind].copy()
rhs_contribs = rhs_contribs[sortind].copy()
pickle.dump(dict(order=order,I=I, source_endpoints=source_endpoints,
domain_size=domain_size, max_edge_len=max_edge_len,
no_integration_points=dipole_source.no_integration_points,
dofnos=dofnos, rhs_contribs=rhs_contribs),
open('fillament_source_test_data.pickle', 'w'))
source_centre = np.array([0, 0, 0.]) # Position of the source
source_endpoints = np.array(
[-source_direction * l / 2, source_direction * l / 2]) + source_centre
## Discretisation settings
order = 2
domain_size = np.array([lam] * 3) / 2
max_edge_len = lam / 3
mesh = get_centred_cube(domain_size, max_edge_len)
## Implementation
V = dolfin.FunctionSpace(mesh, "Nedelec 1st kind H(curl)", order)
dipole_source = FillamentCurrentSource()
dipole_source.no_integration_points = 20
dipole_source.set_function_space(V)
dipole_source.set_source_endpoints(source_endpoints)
dipole_source.set_value(I)
dofnos, rhs_contribs = dipole_source.get_contribution()
sortind = np.argsort(dofnos)
dofnos = dofnos[sortind].copy()
rhs_contribs = rhs_contribs[sortind].copy()
pickle.dump(
dict(order=order,
I=I,
source_endpoints=source_endpoints,
domain_size=domain_size,
max_edge_len=max_edge_len,
no_integration_points=dipole_source.no_integration_points,
dofnos=dofnos,
rhs_contribs=rhs_contribs),
open('fillament_source_test_data.pickle', 'w'))