def generate_column(self):
column = cpt.VerticalCylinder(length=self.height + 2,
radius=self.radius,
center=(0, 0, -self.height / 2),
nx=50,
ntheta=30,
nr=8,
clever=False)
for k in range(self.mode_count):
key_name = 'Flexure Mode ' + str(k)
column.dofs[key_name] = np.array([
self.cantilever_beam_flexure_mode_shape(x, y, z, mode_number=k)
for x, y, z in column.mesh.faces_centers
])
column.keep_immersed_part(sea_bottom=self.water_depth)
column.mass = column.add_dofs_labels_to_matrix(self.mass_matrix())
column.dissipation = column.add_dofs_labels_to_matrix(
self.damping_matrix())
column.hydrostatic_stiffness = column.add_dofs_labels_to_matrix(
self.stiffness_matrix())
self.column_mesh = column
def test_non_neutrally_buoyant_inertia():
body = cpt.VerticalCylinder(radius=1.0, length=1.0, center=(0.0, 0.0, -0.5), nx=20, ntheta=40, nr=20)
body.add_all_rigid_body_dofs()
body.keep_immersed_part()
body.center_of_mass = (0.0, 0.0, -0.25)
body.mass = body.volume * 500
M = body.compute_rigid_body_inertia().values
assert np.allclose(np.diag(M), np.array([1570, 1570, 1570, 936, 936, 801]), rtol=5e-2)
def test_non_neutrally_buoyant_K55():
body = cpt.VerticalCylinder(radius=1.0, length=1.0, center=(0.0, 0.0, -0.5), nx=20, ntheta=40, nr=20)
body.add_all_rigid_body_dofs()
body.keep_immersed_part()
ref_data = pd.DataFrame([
dict(body_density=1000, z_cog=-0.00, K55=-7.70e3),
dict(body_density=1000, z_cog=-0.25, K55=5.0),
dict(body_density=1000, z_cog=-0.50, K55=7.67e3),
dict(body_density=500, z_cog=-0.00, K55=-7.67e3),
dict(body_density=500, z_cog=-0.25, K55=-3.83e3),
dict(body_density=500, z_cog=-0.50, K55=5.0),
])
ref_data['mass'] = body.volume * ref_data['body_density']
rho_g = 1000*9.81
for (i, case) in ref_data.iterrows():
body.mass = case.mass
body.center_of_mass = (0.0, 0.0, case.z_cog)
K55 = body.compute_hydrostatic_stiffness().sel(influenced_dof="Pitch", radiating_dof="Pitch").values
assert np.isclose(K55, case.K55, atol=rho_g*1e-2)
def test_vertical_elastic_dof():
bodies = [
cpt.VerticalCylinder(
length=10.0, radius=5.0,
center=(0.0,0.0,0.0),
nr=100, nx=100, ntheta=100,
),
cpt.Sphere(
radius=100,
center=(0,0,0),
nphi=50, ntheta=50,
),
cpt.HorizontalCylinder(
length=5.0, radius=1.0,
center=(0,10,0),
nr=20, nx=20, ntheta=10,
)
]
for body in bodies:
body.center_of_mass = body.center_of_buoyancy
body.keep_immersed_part()
faces_centers = body.mesh.faces_centers
body.dofs["elongate"] = np.zeros_like(faces_centers)
body.dofs["elongate"][:,2] = faces_centers[:,2]
divergence = np.ones(body.mesh.faces_centers.shape[0])
density = 1000
gravity = 9.80665
capy_hs = body.each_hydrostatic_stiffness("elongate", "elongate",
influenced_dof_div=divergence, rho=density, g=gravity).values[0][0]
analytical_hs = - (density * gravity * 4 * body.volume
* body.center_of_buoyancy[2])
assert np.isclose(capy_hs, analytical_hs)
def test_non_neutrally_buoyant_stiffness():
body = cpt.VerticalCylinder(radius=1.0, length=1.0, center=(0.0, 0.0, -0.5), nx=20, ntheta=40, nr=20)
body.add_all_rigid_body_dofs()
body.keep_immersed_part()
body.mass = 500 * body.volume
body.center_of_mass = (0.0, 0.0, -0.25)
K = body.compute_hydrostatic_stiffness()
dofs = ["Heave", "Roll", "Pitch", "Yaw"]
K = K.sel(influenced_dof=dofs, radiating_dof=dofs).values
# K is now a 4x4 np.array in correct order
rho_g = 1000*9.81
K_ref = rho_g * np.array([
[3.137, -0.382e-3, -0.613e-4, 0.0 ],
[0.0, -0.392, -0.276e-4, -0.448e-4 ],
[0.0, 0.0, -0.392, 0.313e-3 ],
[0.0, 0.0, 0.0, 0.0 ],
]) # Computed with WAMIT
print(K)
print(K_ref)
assert np.allclose(K, K_ref, atol=rho_g*1e-2)
def test_all_hydrostatics():
density = 1000
gravity = 9.80665
sphere = cpt.Sphere(
radius=10.0,
center=(0,0,-1),
nphi=100, ntheta=50,
)
horizontal_cylinder = cpt.HorizontalCylinder(
length=10.0, radius=5.0,
center=(0,10,-1),
nr=100, nx=100, ntheta=10,
)
vertical_cylinder = cpt.VerticalCylinder(
length=10.0, radius=5.0,
center=(10,0,0),
nr=200, nx=200, ntheta=10,
)
body = sphere + horizontal_cylinder + vertical_cylinder
body.add_all_rigid_body_dofs()
body.center_of_mass = body.center_of_buoyancy
capy_hsdb = body.compute_hydrostatics(rho=density, g=gravity)
stiff_compare_dofs = ["Heave", "Roll", "Pitch"]
capy_hsdb["stiffness_matrix"] = capy_hsdb["hydrostatic_stiffness"].sel(
influenced_dof=stiff_compare_dofs, radiating_dof=stiff_compare_dofs
).values
mass_compare_dofs = ["Roll", "Pitch", "Yaw"]
capy_hsdb["inertia_matrix"] = capy_hsdb["inertia_matrix"].sel(
influenced_dof=mass_compare_dofs, radiating_dof=mass_compare_dofs
).values
# =============================================================================
# Meshmagick
# =============================================================================
case_dir = Path(__file__).parent / "Hydrostatics_cases"
# case_dir.mkdir(parents=True, exist_ok=True)
# import meshmagick.mesh as mmm
# import meshmagick.hydrostatics as mmhs
# body_mesh = mmm.Mesh(body.mesh.vertices, body.mesh.faces, name=body.mesh.name)
# mm_hsdb = mmhs.compute_hydrostatics(body_mesh, body.center_of_mass, density, gravity)
# mm_hsdb["inertia_matrix"] = body_mesh.eval_plain_mesh_inertias(
# rho_medium=density).inertia_matrix
# mm_hsdb["mesh"] = ""
# with open(f'{case_dir}/sphere__hor_cyl__ver_cyl.pkl.json', 'w') as convert_file:
# mm_hsdb_json = {key:(value.tolist() if type(value)==np.ndarray else value)
# for key, value in mm_hsdb.items() }
# convert_file.write(json.dumps(mm_hsdb_json))
with open(f'{case_dir}/sphere__hor_cyl__ver_cyl.pkl.json', 'r',
encoding="UTF-8") as f:
mm_hsdb = json.load(f)
# =============================================================================
# Testing
# =============================================================================
for var in capy_hsdb.keys():
if var in mm_hsdb.keys():
# if not np.isclose(capy_hsdb[var], mm_hsdb[var],
# rtol=1e-2, atol=1e-3).all():
# print(f"{var}:")
# print(f" Capytaine - {capy_hsdb[var]}")
# print(f" Meshmagick - {mm_hsdb[var]}")
assert np.isclose(capy_hsdb[var], mm_hsdb[var],
rtol=1e-2, atol=1e-3).all()
import numpy as np
from numpy import pi
import xarray as xr
import matplotlib.pyplot as plt
import capytaine as cpt
logging.basicConfig(level=logging.INFO)
# SET UP THE MESH
buoy = cpt.VerticalCylinder(
radius=1.0,
length=3.0,
center=(0, 0, -1.0),
nx=15,
ntheta=15,
nr=3,
clever=True,
)
buoy.keep_immersed_part()
buoy.add_translation_dof(name="Surge")
# SOLVE THE BEM PROBLEMS AND COMPUTE THE KOCHIN FUNCTIONS
theta_range = np.linspace(0, 2 * pi, 40)
omega_range = np.linspace(1.0, 5.0, 3)
test_matrix = xr.Dataset(coords={
'omega': omega_range,
'theta': theta_range,
'radiating_dof': ["Surge"],
import numpy as np
import capytaine as cpt
r = 1.
draft = 0.5
depth = 10.
omega = 1.
rho = 1000
# Define geometry and heave degree of freedom
body = cpt.VerticalCylinder(
length=2 * draft,
radius=r,
center=(0., 0., 0.),
nx=10,
nr=10,
ntheta=50,
clever=
False, # Do not use axial symmetry of the mesh (not really useful here)
)
body.keep_immersed_part()
body.add_translation_dof(name='Heave')
solver = cpt.BEMSolver()
# Define and solve the diffraction and radiation problems
diff_problem = cpt.DiffractionProblem(body=body,
sea_bottom=-depth,
omega=omega,
wave_direction=0.)
rad_problem = cpt.RadiationProblem(body=body,
