def postprocess(custom_config):
"""
Configure and then run the postprocessor
Args:
custom_config, dict The custom configuration dictionary
"""
signature = __name__ + '.postprocess(custom_config)'
logger = logging.getLogger(__name__)
utility.log_entrance(logger, signature, {'custom_config': custom_config})
if not custom_config:
custom_config = {}
hdf5_file = utility.get_setting(settings.HDF5_FILE, custom_config,
'HDF5_FILE')
utility.check_is_file(hdf5_file,
'The path to the hdf5 file configured by HDF5_FILE')
#utility.validate_file(hdf5_file, 'HDF5_FILE')
with h5py.File(hdf5_file, "a") as hdf5_db:
run(hdf5_db, custom_config)
utility.log_and_print(
logger, 'The post processing results are saved in the hdf5 file ' +
utility.get_abs(hdf5_file))
utility.log_exit(logging.getLogger(__name__), signature, [None])
def save_irf(irf, filename):
"""
Saves the irf to a file in the tec format
Args:
irf: object, the irf
filename: string, The path to the file where to save the irf
"""
signature = __name__ + '.save_irf(irf, filename)'
logger = logging.getLogger(__name__)
utility.log_entrance(logger, signature,
{"irf": str(irf),
'filename': str(filename)})
utility.mkdir_p(os.path.abspath(os.path.dirname(filename)))
with open(filename, 'w') as inp:
inp.write('VARIABLES="Time (s)"\n')
for k in range(irf.n_integration):
inp.write('"AddedMass '+ str(k+1) + '" "IRF ' + str(k+1) +'"\n')
for j in range(irf.n_radiation):
inp.write('Zone t="DoF ' + str(j+1) + '",I=\t' + str(irf.n_time) + ',F=POINT\n')
for i in range(irf.n_time):
inp.write(' ' + str(irf.time[i]) + ' ')
s = ''
for k in range(irf.n_integration):
s += ' ' + str(irf.added_mass[j, k]) + ' ' + ' ' + str(irf.k[i, j, k]) + ' '
inp.write(s + '\n')
utility.log_and_print(logger, utility.get_abs(filename) + ' contains the irf in tec format.')
utility.log_exit(logger, signature, [None])
def save_excitation_force(result, filename):
"""
Saves the excitation forces to a file in tec format
Args:
result: object, the hydrodynamic coefficients cases
filename: The path to the file where to save
"""
signature = __name__ + '.save_excitation_force(result, filename)'
logger = logging.getLogger(__name__)
utility.log_entrance(logger, signature,
{"result": str(result),
'filename': str(filename)})
utility.mkdir_p(os.path.abspath(os.path.dirname(filename)))
with open(filename, 'w') as inp:
inp.write('VARIABLES="w (rad/s)"\n')
for k in range(result.n_integration):
s = '"abs(F\t' + str(result.idx_force[k, 1]) + '\t' + str(result.idx_force[k, 2])
s += ')" "angle(F\t' + str(result.idx_force[k, 1]) + '\t' + str(result.idx_force[k, 2]) + ')"\n'
inp.write(s)
for j in range(result.n_beta):
s = 'Zone t="Diffraction force - beta = ' + str(result.beta[j]*180./(4.*np.arctan(1.0)))
s += ' deg",I= ' + str(result.n_w) + ',F=POINT\n'
inp.write(s)
for i in range(result.n_w):
s = str(result.w[i]) + '\t'
for k in range(result.n_integration):
temp = result.diffraction_force[i, j, k] + result.froudkrylov_force[i, j, k]
s += str(np.abs(temp)) + '\t'
s += str(np.arctan2(np.imag(temp), np.real(temp))) + '\t'
inp.write(s + '\n')
utility.log_and_print(logger, utility.get_abs(filename) + ' contains the excitation forces in tec format.')
utility.log_exit(logger, signature, [None])
def save_radiation_coefficients(result, filename):
"""
Saves the radiation coefficient to a file in tec format
Args:
result: object, the hydrodynamic coefficients cases
filename: The path to the file where to save
"""
signature = __name__ + '.save_radiation_coefficients(result, filename)'
logger = logging.getLogger(__name__)
utility.log_entrance(logger, signature,
{"result": str(result),
'filename': str(filename)})
utility.mkdir_p(os.path.abspath(os.path.dirname(filename)))
with open(filename, 'w') as inp:
inp.write('VARIABLES="w (rad/s)"\n')
for k in range(result.n_integration):
s = '"A\t' + str(result.idx_force[k, 1]) + '\t' + str(result.idx_force[k, 2])
s = s + '" "B\t' + str(result.idx_force[k, 1]) + '\t' + str(result.idx_force[k, 2]) + '"\n'
inp.write(s)
for j in range(result.n_radiation):
s = 'Zone t="Motion of body\t' + str(result.idx_radiation[j, 1])
s += '\tin DoF\t' + str(result.idx_radiation[j, 2]) + '",I=\t' + str(result.n_w) + ',F=POINT\n'
inp.write(s)
for i in range(result.n_w):
s = str(result.w[i]) + '\t'
for k in range(result.n_integration):
s += str(result.added_mass[i, j, k]) + '\t' + str(result.radiation_damping[i, j, k]) + '\t'
inp.write(s + '\n')
utility.log_and_print(logger, utility.get_abs(filename) + ' contains the radiation coefficients in tec format.')
utility.log_exit(logger, signature, [None])
def postprocess(custom_config):
"""
Configure and then run the postprocessor
Args:
custom_config, dict The custom configuration dictionary
"""
signature = __name__ + '.postprocess(custom_config)'
logger = logging.getLogger(__name__)
utility.log_entrance(logger, signature,
{'custom_config': custom_config})
if not custom_config:
custom_config = {}
hdf5_file = utility.get_setting(settings.HDF5_FILE, custom_config, 'HDF5_FILE')
utility.check_is_file(hdf5_file, 'The path to the hdf5 file configured by HDF5_FILE')
#utility.validate_file(hdf5_file, 'HDF5_FILE')
with h5py.File(hdf5_file, "a") as hdf5_db:
run(hdf5_db, custom_config)
utility.log_and_print(logger, 'The post processing results are saved in the hdf5 file '
+ utility.get_abs(hdf5_file))
utility.log_exit(logging.getLogger(__name__), signature, [None])
def save_irf(irf, filename):
"""
Saves the irf to a file in the tec format
Args:
irf: object, the irf
filename: string, The path to the file where to save the irf
"""
signature = __name__ + '.save_irf(irf, filename)'
logger = logging.getLogger(__name__)
utility.log_entrance(logger, signature, {
"irf": str(irf),
'filename': str(filename)
})
utility.mkdir_p(os.path.abspath(os.path.dirname(filename)))
with open(filename, 'w') as inp:
inp.write('VARIABLES="Time (s)"\n')
for k in range(irf.n_integration):
inp.write('"AddedMass ' + str(k + 1) + '" "IRF ' + str(k + 1) +
'"\n')
for j in range(irf.n_radiation):
inp.write('Zone t="DoF ' + str(j + 1) + '",I=\t' +
str(irf.n_time) + ',F=POINT\n')
for i in range(irf.n_time):
inp.write(' ' + str(irf.time[i]) + ' ')
s = ''
for k in range(irf.n_integration):
s += ' ' + str(irf.added_mass[j, k]) + ' ' + ' ' + str(
irf.k[i, j, k]) + ' '
inp.write(s + '\n')
utility.log_and_print(
logger,
utility.get_abs(filename) + ' contains the irf in tec format.')
utility.log_exit(logger, signature, [None])
def save_stifness(result, filename):
"""
Saves the radiation coefficient to a file in tec format
Args:
result: object, the hydrodynamic coefficients cases
filename: The path to the file where to save
"""
signature = __name__ + '.save_stifness(result, filename)'
logger = logging.getLogger(__name__)
utility.log_entrance(logger, signature, {
"result": str(result),
'filename': str(filename)
})
utility.mkdir_p(os.path.abspath(os.path.dirname(filename)))
with open(filename, 'w') as inp:
for i in range(len(result[:, :])):
for j in range(len(result[:, :])):
if j == len(result[:, :]) - 1:
inp.write(" % E\n" % result[i, j])
else:
inp.write(" % E " % result[i, j])
utility.log_and_print(
logger,
utility.get_abs(filename) + ' contains the hydrostatic stifness.')
utility.log_exit(logger, signature, [None])
def solve(custom_config):
"""
Configure and then run the solver
Args:
custom_config, dict The custom configuration dictionary
Returns:
the output of the fortran function as string if successful
"""
signature = __name__ + '.solve(custom_config)'
logger = logging.getLogger(__name__)
utility.log_entrance(logger, signature, {'custom_config': custom_config})
if not custom_config:
custom_config = {}
hdf5_file = utility.get_setting(settings.HDF5_FILE, custom_config,
'HDF5_FILE')
utility.check_is_file(hdf5_file,
'The path to the hdf5 file configured by HDF5_FILE')
n_tabulatedx = utility.get_setting(settings.GREEN_TABULATION_NUMX,
custom_config, 'GREEN_TABULATION_NUMX')
n_tabulatedz = utility.get_setting(settings.GREEN_TABULATION_NUMZ,
custom_config, 'GREEN_TABULATION_NUMZ')
n_points_simpson = utility.get_setting(
settings.GREEN_TABULATION_SIMPSON_NPOINTS, custom_config,
'GREEN_TABULATION_SIMPSON_NPOINTS')
with h5py.File(hdf5_file, "a") as hdf5_db:
if n_tabulatedx and n_tabulatedx > 0:
dset = utility.require_dataset(
hdf5_db,
structure.H5_SOLVER_GREEN_TABULATION_NUMX, (1, ),
dtype='i')
dset[:] = n_tabulatedx
if n_tabulatedz and n_tabulatedz > 0:
dset = utility.require_dataset(
hdf5_db,
structure.H5_SOLVER_GREEN_TABULATION_NUMZ, (1, ),
dtype='i')
dset[:] = n_tabulatedz
if n_points_simpson and n_points_simpson > 0:
dset = utility.require_dataset(
hdf5_db,
structure.H5_SOLVER_GREEN_TABULATION_SIMPSON_NPOINTS, (1, ),
dtype='i')
dset[:] = n_points_simpson
return run(hdf5_db)
def compute_irf(result, irf):
"""
Computes the froude krylov forces for the given irf
Args:
result: object the hydrodynamic coefficients cases
irf: object, the input irf
Returns:
the irf with the froude krylov forces computed.
"""
signature = __name__ + '.compute_irf(result, irf)'
logger = logging.getLogger(__name__)
utility.log_entrance(logger, signature, {
"irf": str(irf),
'result': str(result)
})
logger.info('Computing the froude krylov forces for the given irf')
for i in range(irf.n_time):
for j in range(result.n_radiation):
for k in range(result.n_integration):
irf.k[i, j, k] = 0.
for l in range(result.n_w - 1):
irf.k[i, j,
k] += -0.5 * (result.w[l + 1] - result.w[l]) * (
result.radiation_damping[l, j, k] *
np.cos(result.w[l] * irf.time[i]) +
result.radiation_damping[l + 1, j, k] *
np.cos(result.w[l + 1] * irf.time[i]))
irf.k[i, j, k] = (irf.k[i, j, k] * 2) / np.pi
logger.info('Computing the added mass for the given irf')
cm = np.zeros(result.n_w)
for j in range(result.n_radiation):
for k in range(result.n_integration):
irf.added_mass[j, k] = 0
for l in range(result.n_w):
cm[l] = 0
for i in range(irf.n_time - 1):
cm[l] += 0.5 * (irf.time[i + 1] - irf.time[i]) * (
irf.k[i, j, k] * np.sin(result.w[l] * irf.time[i]) +
irf.k[i + 1, j, k] *
np.sin(result.w[l] * irf.time[i + 1]))
cm[l] = (result.added_mass[l, j, k] + cm[l]) / result.w[l]
irf.added_mass[j, k] = irf.added_mass[j, k] + cm[l]
irf.added_mass[j, k] = irf.added_mass[j, k] / result.n_w
utility.log_exit(logger, signature, [str(irf)])
return irf
def get_irf(hdf5_data, result):
"""
Gets the irf from the hdf5 file
Args:
hdf5_data: object, the hdf5 opened file
result: object the hydrodynamic coefficients cases
Returns:
the irf
"""
signature = __name__ + '.get_irf(hdf5_data, result)'
logger = logging.getLogger(__name__)
utility.log_entrance(logger, signature, {
"hdf5_data": str(hdf5_data),
'result': str(result)
})
dset = hdf5_data.get(structure.H5_COMPUTE_IRF)
utility.check_dataset_type(
dset,
name=str(structure.H5_COMPUTE_IRF_ATTR['description']),
location=structure.H5_COMPUTE_IRF)
switch = dset[0]
dset = hdf5_data.get(structure.H5_IRF_TIME_STEP)
utility.check_dataset_type(
dset,
name=str(structure.H5_IRF_TIME_STEP_ATTR['description']),
location=structure.H5_IRF_TIME_STEP)
time_step = dset[0]
dset = hdf5_data.get(structure.H5_IRF_DURATION)
utility.check_dataset_type(
dset,
name=str(structure.H5_IRF_DURATION_ATTR['description']),
location=structure.H5_IRF_DURATION)
duration = dset[0]
irf = TIRF()
if switch == 1:
irf = TIRF(int(duration / time_step), result.n_radiation,
result.n_integration)
for i in range(irf.n_time):
irf.time[i] = i * time_step
irf.switch = switch
utility.log_exit(logger, signature, [str(irf)])
return irf
def save_wave_elevation(w, etai, etap, eta, x, y, filename):
"""
Save the wave elevation to a file in tec format
Args:
w: float, the wave frequency
etai: 2D array, a wave elevation variable
eta: 2D array, a wave elevation variable
etap: 2D array, a wave elevation variable
x: 1D array, a wave elevation variable
y: 1D array, a wave elevation variable
filename: string, the path to the file where to save
"""
signature = __name__ + '.save_wave_elevation(w, etai, etap, eta, x, y, filename)'
logger = logging.getLogger(__name__)
utility.log_entrance(logger, signature,
{"w": w,
"etai": etai,
"etap": etap,
"eta": eta,
"x": x,
"y": y,
"filename": filename})
nx = len(x)
ny = len(y)
utility.mkdir_p(os.path.abspath(os.path.dirname(filename)))
with open(filename, 'w') as inp:
s = 'VARIABLES="X" "Y" "etaI_C" "etaI_S" "etaP_C" "etaC_S" '
s += '"etaI_C+etaP_C" "etaI_S+etaI_P" "|etaP|" "|etaI+etaP|"\n'
inp.write(s)
s = 'ZONE t="Wave frequency - w = '
s += str(w)+ '",N=\t'+ str(nx*ny) + ', E=\t' + str((nx-1)*(nx-1)) + '\t , F=FEPOINT,ET=QUADRILATERAL\n'
inp.write(s)
for i in range(nx):
for j in range(ny):
s = str(x[i]) + '\t' + str(y[j]) + '\t' + str(np.real(etai[i, j])) + '\t'
s += str(np.imag(etai[i,j])) + '\t' + str(np.real(etap[i, j])) + '\t'
s += str(np.imag(etap[i,j])) + '\t' + str(np.real(etai[i,j]+etap[i,j])) + '\t'
s += str(np.imag(etai[i,j]+etap[i,j])) + '\t' + str(np.abs(etap[i,j])) + '\t'
s += str(np.abs(eta[i,j])) + '\n'
inp.write(s)
for i in range(nx-1):
for j in range(ny-1):
s = str(j+1+i*ny) + '\t' + str(j+1+(i+1)*ny) + '\t' + str(j+2+ i*ny) + '\n'
inp.write(s)
utility.log_and_print(logger, utility.get_abs(filename) + ' contains the wave elevation in tec format.')
utility.log_exit(logger, signature, [None])
def compute_irf(result, irf):
"""
Computes the froude krylov forces for the given irf
Args:
result: object the hydrodynamic coefficients cases
irf: object, the input irf
Returns:
the irf with the froude krylov forces computed.
"""
signature = __name__ + '.compute_irf(result, irf)'
logger = logging.getLogger(__name__)
utility.log_entrance(logger, signature,
{"irf": str(irf), 'result': str(result)})
logger.info('Computing the froude krylov forces for the given irf')
for i in range(irf.n_time):
for j in range(result.n_radiation):
for k in range(result.n_integration):
irf.k[i,j,k] = 0.
for l in range(result.n_w -1):
irf.k[i, j, k] += 0.5* (result.w[l+1]-result.w[l]) * (result.radiation_damping[l,
j,
k]*np.cos(result.w[l]*irf.time[i]) + result.radiation_damping[l+1, j, k]*np.cos(result.w[l+1]*irf.time[i]))
irf.k[i, j, k] = (irf.k[i, j, k] * 2)/np.pi
logger.info('Computing the added mass for the given irf')
cm = np.zeros(result.n_w)
for j in range(result.n_radiation):
for k in range(result.n_integration):
irf.added_mass[j, k] = 0
for l in range(result.n_w):
cm[l] = 0
for i in range(irf.n_time-1):
cm[l] += 0.5*(irf.time[i+1]-irf.time[i])*(irf.k[i,j,k]*np.sin(result.w[l]*irf.time[i]) +
irf.k[i+1, j, k]*np.sin(result.w[l]*irf.time[i+1]))
cm[l]=result.added_mass[l,j,k] + cm[l]/result.w[l]
irf.added_mass[j,k]=irf.added_mass[j,k] +cm[l]
irf.added_mass[j,k] = irf.added_mass[j,k]/result.n_w
utility.log_exit(logger, signature, [str(irf)])
return irf
def solve(custom_config):
"""
Configure and then run the solver
Args:
custom_config, dict The custom configuration dictionary
Returns:
the output of the fortran function as string if successful
"""
signature = __name__ + '.solve(custom_config)'
logger = logging.getLogger(__name__)
utility.log_entrance(logger, signature,
{'custom_config': custom_config})
if not custom_config:
custom_config = {}
hdf5_file = utility.get_setting(settings.HDF5_FILE, custom_config, 'HDF5_FILE')
utility.check_is_file(hdf5_file, 'The path to the hdf5 file configured by HDF5_FILE')
n_tabulatedx = utility.get_setting(settings.GREEN_TABULATION_NUMX, custom_config,
'GREEN_TABULATION_NUMX')
n_tabulatedz = utility.get_setting(settings.GREEN_TABULATION_NUMZ, custom_config,
'GREEN_TABULATION_NUMZ')
n_points_simpson = utility.get_setting(settings.GREEN_TABULATION_SIMPSON_NPOINTS, custom_config,
'GREEN_TABULATION_SIMPSON_NPOINTS')
with h5py.File(hdf5_file, "a") as hdf5_db:
if n_tabulatedx and n_tabulatedx > 0:
dset = utility.require_dataset(hdf5_db, structure.H5_SOLVER_GREEN_TABULATION_NUMX, (1, ), dtype='i')
dset[:] = n_tabulatedx
if n_tabulatedz and n_tabulatedz > 0:
dset = utility.require_dataset(hdf5_db, structure.H5_SOLVER_GREEN_TABULATION_NUMZ, (1, ), dtype='i')
dset[:] = n_tabulatedz
if n_points_simpson and n_points_simpson > 0:
dset = utility.require_dataset(hdf5_db, structure.H5_SOLVER_GREEN_TABULATION_SIMPSON_NPOINTS, (1, ), dtype='i')
dset[:] = n_points_simpson
return run(hdf5_db)
def get_irf(hdf5_data, result):
"""
Gets the irf from the hdf5 file
Args:
hdf5_data: object, the hdf5 opened file
result: object the hydrodynamic coefficients cases
Returns:
the irf
"""
signature = __name__ + '.get_irf(hdf5_data, result)'
logger = logging.getLogger(__name__)
utility.log_entrance(logger, signature,
{"hdf5_data": str(hdf5_data), 'result': str(result)})
dset = hdf5_data.get(structure.H5_COMPUTE_IRF)
utility.check_dataset_type(dset,
name=str(structure.H5_COMPUTE_IRF_ATTR['description']),
location=structure.H5_COMPUTE_IRF)
switch = dset[0]
dset = hdf5_data.get(structure.H5_IRF_TIME_STEP)
utility.check_dataset_type(dset,
name=str(structure.H5_IRF_TIME_STEP_ATTR['description']),
location=structure.H5_IRF_TIME_STEP)
time_step = dset[0]
dset = hdf5_data.get(structure.H5_IRF_DURATION)
utility.check_dataset_type(dset,
name=str(structure.H5_IRF_DURATION_ATTR['description']),
location=structure.H5_IRF_DURATION)
duration = dset[0]
irf = TIRF()
if switch == 1:
irf = TIRF(int(duration/time_step), result.n_radiation, result.n_integration)
for i in range(irf.n_time):
irf.time[i] = i*time_step
irf.switch = switch
utility.log_exit(logger, signature, [str(irf)])
return irf
def save_radiation_coefficients(result, filename):
"""
Saves the radiation coefficient to a file in tec format
Args:
result: object, the hydrodynamic coefficients cases
filename: The path to the file where to save
"""
signature = __name__ + '.save_radiation_coefficients(result, filename)'
logger = logging.getLogger(__name__)
utility.log_entrance(logger, signature, {
"result": str(result),
'filename': str(filename)
})
utility.mkdir_p(os.path.abspath(os.path.dirname(filename)))
with open(filename, 'w') as inp:
inp.write('VARIABLES="w (rad/s)"\n')
for k in range(result.n_integration):
s = '"A\t' + str(result.idx_force[k, 1]) + '\t' + str(
result.idx_force[k, 2])
s = s + '" "B\t' + str(result.idx_force[k, 1]) + '\t' + str(
result.idx_force[k, 2]) + '"\n'
inp.write(s)
for j in range(result.n_radiation):
s = 'Zone t="Motion of body\t' + str(result.idx_radiation[j, 1])
s += '\tin DoF\t' + str(
result.idx_radiation[j, 2]) + '",I=\t' + str(
result.n_w) + ',F=POINT\n'
inp.write(s)
for i in range(result.n_w):
s = str(result.w[i]) + '\t'
for k in range(result.n_integration):
s += str(result.added_mass[i, j, k]) + '\t' + str(
result.radiation_damping[i, j, k]) + '\t'
inp.write(s + '\n')
utility.log_and_print(
logger,
utility.get_abs(filename) +
' contains the radiation coefficients in tec format.')
utility.log_exit(logger, signature, [None])
def save_excitation_force(result, filename):
"""
Saves the excitation forces to a file in tec format
Args:
result: object, the hydrodynamic coefficients cases
filename: The path to the file where to save
"""
signature = __name__ + '.save_excitation_force(result, filename)'
logger = logging.getLogger(__name__)
utility.log_entrance(logger, signature, {
"result": str(result),
'filename': str(filename)
})
utility.mkdir_p(os.path.abspath(os.path.dirname(filename)))
with open(filename, 'w') as inp:
inp.write('VARIABLES="w (rad/s)"\n')
for k in range(result.n_integration):
s = '"abs(F\t' + str(result.idx_force[k, 1]) + '\t' + str(
result.idx_force[k, 2])
s += ')" "angle(F\t' + str(result.idx_force[k, 1]) + '\t' + str(
result.idx_force[k, 2]) + ')"\n'
inp.write(s)
for j in range(result.n_beta):
s = 'Zone t="Diffraction force - beta = ' + str(
result.beta[j] * 180. / (4. * np.arctan(1.0)))
s += ' deg",I=' + str(result.n_w) + ',F=POINT\n'
inp.write(s)
for i in range(result.n_w):
s = str(result.w[i]) + '\t'
for k in range(result.n_integration):
temp = result.diffraction_force[
i, j, k] + result.froudkrylov_force[i, j, k]
s += str(np.abs(temp)) + '\t'
s += str(np.arctan2(np.imag(temp), np.real(temp))) + '\t'
inp.write(s + '\n')
utility.log_and_print(
logger,
utility.get_abs(filename) +
' contains the excitation forces in tec format.')
utility.log_exit(logger, signature, [None])
def save_hydroinfo(cg, cf, disVol, Warea, filename):
"""
Saves the radiation coefficient to a file in tec format
Args:
result: object, the hydrodynamic coefficients cases
filename: The path to the file where to save
cb[0] = cf[0] + cg[0]
cb[1] = cf[1] + cg[1]
cb[2] = cf[2]
"""
signature = __name__ + '.save_hydroinfo(result, filename)'
logger = logging.getLogger(__name__)
utility.log_entrance(
logger, signature, {
"cg": str(cg),
"cf": str(cf),
"disVol": str(disVol),
"Warea": str(Warea),
'filename': str(filename)
})
utility.mkdir_p(os.path.abspath(os.path.dirname(filename)))
with open(filename, 'w') as inp:
# print "XF = %(cb) 7.3f - XG = %(cg) 7.3f" % {"cb":cb(1), "cg":cb(1)}
inp.write("XB = %7.3f - XG = %7.3f\n" % (cf[0] + cg[0], cg[0]))
inp.write("YB = %7.3f - YG = %7.3f\n" % (cf[1] + cg[1], cg[1]))
inp.write("ZB = %7.3f - ZG = %7.3f\n" % (cf[2], cg[2]))
inp.write("Displacement = %E\n" % disVol)
inp.write("Waterplane area = %E" % Warea)
# inp.write(str(result[i,:])
# tmpFmt = "%5.3f"*len(result[i,:])+"\n"
# print(tmpFmt % result[i,:])
utility.log_and_print(
logger,
utility.get_abs(filename) + ' contains the hydrostatic information.')
utility.log_exit(logger, signature, [None])
def read_results(hdf5_data):
"""
Read the hydrodynamic coefficients cases from the hdf5 file
Args:
hdf5_data: object, the hdf5 opened file
Returns:
the hydrodynamic coefficients cases
"""
signature = __name__ + '.read_results(hdf5_data)'
logger = logging.getLogger(__name__)
utility.log_entrance(logger, signature,
{"hdf5_data": str(hdf5_data)})
idx_force = hdf5_data.get(structure.H5_RESULTS_CASE_FORCE)
utility.check_dataset_type(idx_force,
name=str(structure.H5_RESULTS_CASE_FORCE_ATTR['description']),
location=structure.H5_RESULTS_CASE_FORCE)
n_integration = idx_force.shape[0]
idx_radiation = hdf5_data.get(structure.H5_RESULTS_CASE_MOTION)
utility.check_dataset_type(idx_radiation,
name=str(structure.H5_RESULTS_CASE_MOTION_ATTR['description']),
location=structure.H5_RESULTS_CASE_MOTION)
n_radiation = idx_radiation.shape[0]
beta = hdf5_data.get(structure.H5_RESULTS_CASE_BETA)
utility.check_dataset_type(beta,
name=str(structure.H5_RESULTS_CASE_BETA_ATTR['description']),
location=structure.H5_RESULTS_CASE_BETA)
n_beta = beta.shape[0]
w = hdf5_data.get(structure.H5_RESULTS_CASE_W)
utility.check_dataset_type(beta,
name=str(structure.H5_RESULTS_CASE_W_ATTR['description']),
location=structure.H5_RESULTS_CASE_W)
n_w = w.shape[0]
theta = hdf5_data.get(structure.H5_RESULTS_CASE_THETA)
n_theta = theta.shape[0]
result = TResult(n_w, n_radiation, n_integration, n_theta, n_beta)
result.idx_force = idx_force
result.idx_radiation = idx_radiation
result.beta = beta
result.w = w
result.theta = theta
forces = hdf5_data.get(structure.H5_RESULTS_FORCES)
if forces is None:
print 'DEBUG: forces is none'
if forces is not None:
print 'forces is not none '
for k in range(n_integration):
c = 0
for i in range(n_w):
for j in range(n_beta):
result.diffraction_force[i, j, k] = forces[k, c]*np.exp(complex(0, 1)*forces[k, c+1])
c += 2
for j in range(n_radiation):
result.added_mass[i, j, k] = forces[k, c]
result.radiation_damping[i, j, k] = forces[k, c+1]
c += 2
result.froudkrylov_force = hdf5_data.get(structure.H5_RESULTS_FK_FORCES_RAW)
utility.log_exit(logger, signature, [str(result)])
return result
def run(hdf5_data):
"""
Run the solver
Args:
hdf5_data: object, the hdf5 opened storage
Returns:
the output of the fortran function as string if successful
"""
signature = __name__ + '.run(hdf5_data)'
logger = logging.getLogger(__name__)
utility.log_entrance(logger, signature,
{'hdf5_data': hdf5_data})
data = init_data()
data["log_level"] = logging.getLogger().getEffectiveLevel()
dset = utility.get_1d_array(logger, hdf5_data, "H5_L10_COUNT", expected_dim=4)
offset = 1
l10_i_sym = int(dset[0])
n_points = int(dset[1])
n_panels = int(dset[2])
n_bodies = int(dset[3])
mesh_cpanel = utility.get_dataset(hdf5_data, 'H5_L10_CPANEL')
mesh_xm = utility.get_dataset(hdf5_data, 'H5_L10_XM')
mesh_n = utility.get_dataset(hdf5_data, 'H5_L10_N')
mesh_a = utility.get_dataset(hdf5_data, 'H5_L10_A')
dset = utility.get_1d_array(logger, hdf5_data, "H5_L12_COUNT", expected_dim=2)
i_sym = int(dset[1])
if l10_i_sym != i_sym or int(dset[0]) != 2:
raise ValueError('Stopping because the mesh file format is not correct.'
'The symmetry about xoz axis is inconsistent')
data["i_sym"] = i_sym
data["mesh_p"] = np.asarray(utility.get_dataset(hdf5_data, 'H5_L12_P'), order='F', dtype='i')
data["mesh_x"] = np.asarray(utility.get_dataset(hdf5_data, 'H5_L12_X'), order='F', dtype='f')
data["n_points"] = n_points
data["n_panels"] = n_panels
data["n_bodies"] = n_bodies
data["mesh_cpanel"] = np.asarray(mesh_cpanel, order='F', dtype='i')
data["mesh_xm"] = np.asarray(mesh_xm, order='F', dtype='f')
data["mesh_n"] = np.asarray(mesh_n, order='F', dtype='f')
data["mesh_a"] = np.asarray(mesh_a, order='F', dtype='f')
dset = utility.get_dataset(hdf5_data, 'H5_NORMAL_VELOCITY_W')
bc_omega = np.asarray(dset, order='F', dtype='f')
n_problems = bc_omega.shape[0]
data["bc_omega"] = bc_omega
data["n_problems"] = n_problems
dset = utility.get_dataset(hdf5_data, 'H5_NORMAL_VELOCITY_BETA')
data["bc_switch_type"] = np.asarray(dset, order='F', dtype='i')
dset = utility.get_dataset(hdf5_data, 'H5_NORMAL_VELOCITY_SWITCH_POTENTIAL')
data["bc_switch_potential"] = np.asarray(dset, order='F', dtype='i')
dset = utility.get_dataset(hdf5_data, 'H5_NORMAL_VELOCITY_SWITCH_FREE_SURFACE')
data["bc_switch_freesurface"] = np.asarray(dset, order='F', dtype='i')
dset = utility.get_dataset(hdf5_data, 'H5_NORMAL_VELOCITY_SWITCH_KOCHIN')
data["bc_switch_kochin"] = np.asarray(dset, order='F', dtype='i')
dset = utility.get_dataset(hdf5_data, 'H5_NORMAL_VELOCITY_VELOCITIES')
data["bc_normal_velocity"] = np.asarray(dset, order='F', dtype='F')
data["nbc_panels"] = data["bc_normal_velocity"].shape[0]
data["rho"] = utility.get_1d_array(logger, hdf5_data, "H5_ENV_VOLUME", expected_dim=1)[0]
data["g"] = utility.get_1d_array(logger, hdf5_data, "H5_ENV_GRAVITY", expected_dim=1)[0]
data["depth"] = utility.get_1d_array(logger, hdf5_data, "H5_ENV_DEPTH", expected_dim=1)[0]
dset = utility.get_1d_array(logger, hdf5_data, "H5_ENV_WAVE_POINT", expected_dim=2)
data["xeff"] = dset[0]
data["y_eff"] = dset[1]
data["indiq_solver"] = utility.get_1d_array(logger, hdf5_data, "H5_SOLVER_TYPE", expected_dim=1)[0]
data["max_iterations"] = utility.get_1d_array(logger, hdf5_data, "H5_SOLVER_GMRES_MAX_ITERATIONS", 1)[0]
data["restart_param"] = utility.get_1d_array(logger, hdf5_data, "H5_SOLVER_GMRES_RESTART", expected_dim=1)[0]
data["tol_gmres"] = utility.get_1d_array(logger, hdf5_data, "H5_SOLVER_GMRES_STOPPING", expected_dim=1)[0]
data["nds"] = np.asarray(utility.get_dataset(hdf5_data, 'H5_MESH_INTEGRATION'), order='F', dtype='f')
data["n_integration"] = data["nds"].shape[0]
data["use_higher_order"] = utility.get_1d_array(logger, hdf5_data, "H5_SOLVER_USE_HIGHER_ORDER", 1)[0]
data["num_panel_higher_order"] = utility.get_1d_array(logger, hdf5_data, "H5_SOLVER_NUM_PANEL_HIGHER_ORDER", 1)[0]
data["b_spline_order"] = utility.get_1d_array(logger, hdf5_data, "H5_SOLVER_B_SPLINE_ORDER", expected_dim=1)[0]
data["theta"] = np.asarray(utility.get_dataset(hdf5_data, 'H5_MESH_KOCHIN'), order='F', dtype='f')
data["n_theta"] = data["theta"].shape[0]
data["meshfs_x"] = np.asarray(utility.get_2d_array(logger, hdf5_data, "H5_MESH_FREE_SURFACE_VECTORS"), dtype='f')
data["nfs_points"] = data["meshfs_x"].shape[1]
data["meshfs_p"] = np.asarray(utility.get_2d_array(logger, hdf5_data, "H5_MESH_FREE_SURFACE_INDEX"),
order='F', dtype='i') + offset
data["nfs_panels"] = data["meshfs_p"].shape[1]
data["out_phi"] = np.zeros((n_problems, 1+data["nfs_points"]), dtype='F', order="F")
data["out_pressure"] = np.zeros((n_problems, data["nbc_panels"]), dtype='F', order="F")
data["out_hkochin"] = np.zeros((n_problems, data["n_theta"]), dtype='F', order="F")
data["line"] = np.zeros((data["n_integration"], n_problems*2), order="F", dtype='f')
data["drift_forces"] = np.zeros((n_problems, data["n_theta"], 2), order="F", dtype='f')
data["yaw_moment"] = np.zeros((n_problems, data["n_theta"]), order="F", dtype='f')
data["center_buoyancy"] = np.zeros((n_bodies, 3), order="F", dtype='f')
data["displacement"] = np.zeros((n_bodies), order="F", dtype='f')
data["waterplane_area"] = np.zeros((n_bodies), order="F", dtype='f')
data["stifness"] = np.zeros((n_bodies, 6, 6), order="F", dtype='f')
n_potentials = 5*n_points*(1 + (i_sym == 1)) +9*n_panels*(1 + (i_sym == 1))
data["out_potential"] = np.zeros((n_problems, n_potentials), dtype='f', order="F")
data["n_potentials"] = n_potentials
data["n_tabulatedx"] = int(utility.get_1d_array(logger, hdf5_data, "H5_SOLVER_GREEN_TABULATION_NUMX", 1)[0])
data["n_tabulatedz"] = int(utility.get_1d_array(logger, hdf5_data, "H5_SOLVER_GREEN_TABULATION_NUMZ", 1)[0])
data["n_points_simpson"] = int(utility.get_1d_array(logger, hdf5_data,
"H5_SOLVER_GREEN_TABULATION_SIMPSON_NPOINTS", 1)[0])
dset = utility.get_dataset(hdf5_data, 'H5_SOLVER_SWITCH_ODE_INFLUENCE')
data["fast_influence_switch"] = np.asarray(dset, order='F', dtype='i')
data["is_interior_domain"] = np.zeros((n_panels), dtype='i', order="F")
remove_irregular_frequencies = utility.get_1d_array(logger, hdf5_data,
"H5_SOLVER_REMOVE_IRREGULAR_FREQUENCIES", 1)[0]
if remove_irregular_frequencies:
# Bug??? Previous code used dset = hdf5_data.get(structure.H5_SOLVER_REMOVE_IRREGULAR_FREQUENCIES)
dset = utility.get_dataset(hdf5_data, 'H5_SOLVER_IS_INTERIOR_DOMAIN')
data["is_interior_domain"] = np.asarray(dset, order='F', dtype='i')
dset = utility.get_dataset(hdf5_data, 'H5_RESULTS_CASE_BETA')
data["beta"] = np.asarray(dset, order='F', dtype='f')
data["n_beta"] = data["beta"].shape[0]
dset = utility.get_dataset(hdf5_data, 'H5_RESULTS_CASE_RADIATION')
data["rad_case"] = np.asarray(dset, order='F', dtype='f')
data["n_radiation"] = data["rad_case"].shape[0]
dset = utility.get_dataset(hdf5_data, 'H5_SOLVER_THIN_PANELS')
data["is_thin_body"] = np.asarray(dset, order='F', dtype='i')
dset = utility.get_dataset(hdf5_data, 'H5_SOLVER_USE_DIPOLES_IMPLEMENTATION')
data["use_dipoles_implementation"] = dset[0]
data["remove_irregular_frequencies"] = utility.get_dataset(hdf5_data, 'H5_SOLVER_REMOVE_IRREGULAR_FREQUENCIES')[0]
dset = utility.get_1d_array(logger, hdf5_data, "H5_SOLVER_COMPUTE_YAW_MOMENT", 1)
data["compute_yaw_moment"] = dset[0]
dset = utility.get_1d_array(logger, hdf5_data, "H5_SOLVER_COMPUTE_DRIFT_FORCES", 1)
data["compute_drift_forces"] = dset[0]
# Disable kochin, yaw moments and drift forces
if data["use_higher_order"] == 1 or data["use_dipoles_implementation"] == 1:
data["n_theta"] = 0
logger.info('Disabling koching, yaw monment and drift forces computation as '
'not supported when higher order panel or dipoles implementation is '
'enabled')
#with CaptureOutput() as capturer:
solver_fortran.run_solver(data)
write_result(hdf5_data, data)
def write_result(hdf5_data, data):
"""
Write the result from nemoh fortran to the hdf5
Args:
hdf5_data: object the hdf5 opened data
data: the data sent from nemoh fortran
"""
signature = __name__ + '.write_result(hdf5_data, data)'
logger = logging.getLogger(__name__)
# data is too huge for logging
utility.log_entrance(logger, signature,
{'hdf5_data': hdf5_data})
dset = utility.require_dataset(hdf5_data, structure.H5_RESULTS_FORCES, data["line"].shape, dtype='f')
utility.set_hdf5_attributes(dset, structure.H5_RESULTS_FORCES_ATTR)
dset[:, :] = data["line"].astype(copy=False, dtype='f')
temp = np.array(data["out_potential"], dtype='f')
count_skip = 0
for i in range(data["n_problems"]):
if data["bc_switch_potential"][i] != 1:
temp[i, :] = 0
count_skip += 1
if count_skip == data["n_problems"]:
temp = np.zeros((0, 0), dtype='f')
dset = utility.require_dataset(hdf5_data, structure.H5_RESULTS_POTENTIAL, temp.shape, dtype='f')
utility.set_hdf5_attributes(dset, structure.H5_RESULTS_POTENTIAL_ATTR)
dset[:, :] = temp
kochin = np.zeros((data["n_theta"], 3, data["n_problems"]), dtype='f')
count_skip = 0
for i in range(data["n_problems"]):
if data["bc_switch_kochin"][i] == 1:
for j in range(data["n_theta"]):
kochin[j, 0, i] = data["theta"][j]
kochin[j, 1, i] = np.abs(data["out_hkochin"][i, j])
kochin[j, 2, i] = np.arctan2(np.imag(data["out_hkochin"][i, j]), np.real(data["out_hkochin"][i, j]))
else:
count_skip += 1
if count_skip == data["n_problems"]:
kochin = np.zeros((0, 0, 0), dtype='f')
dset = utility.require_dataset(hdf5_data, structure.H5_RESULTS_KOCHIN, kochin.shape, dtype='f')
utility.set_hdf5_attributes(dset, structure.H5_RESULTS_KOCHIN_ATTR)
dset[:, :, :] = kochin
temp = np.zeros((data["nfs_points"], 6, data["n_problems"]), dtype='f')
count_skip = 0
for i in range(data["n_problems"]):
if data["bc_switch_freesurface"][i] == 1:
for j in range(data["nfs_points"]):
temp[j, 0, i] = data["meshfs_x"][0, j]
temp[j, 1, i] = data["meshfs_x"][1, j]
temp[j, 2, i] = np.abs(data["out_phi"][i, j])
temp[j, 3, i] = np.arctan2(np.imag(data["out_phi"][i, j]), np.real(data["out_phi"][i, j]))
temp[j, 4, i] = -np.imag(data["out_phi"][i, j])
temp[j, 5, i] = -np.real(data["out_phi"][i, j])
else:
count_skip += 1
if count_skip == data["n_problems"]:
temp = np.zeros((0, 0, 0), dtype='f')
dset = utility.require_dataset(hdf5_data, structure.H5_RESULTS_FREE_SURFACE_POINTS, temp.shape, dtype='f')
utility.set_hdf5_attributes(dset, structure.H5_RESULTS_FREE_SURFACE_POINTS_ATTR)
dset[:, :, :] = temp
temp = np.zeros((data["nfs_panels"], 4, data["n_problems"]), dtype='f')
count_skip = 0
for i in range(data["n_problems"]):
if data["bc_switch_freesurface"][i] == 1:
for j in range(data["nfs_panels"]):
temp[j,:, i ] = data["meshfs_p"]
else:
count_skip += 1
if count_skip == data["n_problems"]:
temp = np.zeros((0, 0, 0), dtype='f')
dset = utility.require_dataset(hdf5_data, structure.H5_RESULTS_FREE_SURFACE_PANEL, temp.shape, dtype='f')
utility.set_hdf5_attributes(dset, structure.H5_RESULTS_FREE_SURFACE_PANEL_ATTR)
dset[:, :, :] = temp
dset = utility.require_dataset(hdf5_data, structure.H5_RESULTS_DRIFT_FORCES, data["drift_forces"].shape, dtype='f')
utility.set_hdf5_attributes(dset, structure.H5_RESULTS_DRIFT_FORCES_ATTR)
dset[:, :, :] = data["drift_forces"]
dset = utility.require_dataset(hdf5_data, structure.H5_RESULTS_YAW_MOMENT, data["yaw_moment"].shape, dtype='f')
utility.set_hdf5_attributes(dset, structure.H5_RESULTS_YAW_MOMENT_ATTR)
dset[:, :] = data["yaw_moment"]
dset = utility.require_dataset(hdf5_data, structure.H5_RESULTS_CENTER_BUOYANCY, data["center_buoyancy"].shape, dtype='f')
utility.set_hdf5_attributes(dset, structure.H5_RESULTS_CENTER_BUOYANCY_ATTR)
dset[:, :] = data["center_buoyancy"]
dset = utility.require_dataset(hdf5_data, structure.H5_RESULTS_VOLUME_DISPLACEMENT, data["displacement"].shape, dtype='f')
utility.set_hdf5_attributes(dset, structure.H5_RESULTS_VOLUME_DISPLACEMENT_ATTR)
dset[:] = data["displacement"]
dset = utility.require_dataset(hdf5_data, structure.H5_RESULTS_WATER_PLANE_AREA, data["waterplane_area"].shape, dtype='f')
utility.set_hdf5_attributes(dset, structure.H5_RESULTS_WATER_PLANE_AREA_ATTR)
dset[:] = data["waterplane_area"]
dset = utility.require_dataset(hdf5_data, structure.H5_RESULTS_STIFNESS, data["stifness"].shape, dtype='f')
utility.set_hdf5_attributes(dset, structure.H5_RESULTS_STIFNESS_ATTR)
dset[:, :, :] = data["stifness"]
utility.log_exit(logger, signature, [None])
def read_results(hdf5_data):
"""
Read the hydrodynamic coefficients cases from the hdf5 file
Args:
hdf5_data: object, the hdf5 opened file
Returns:
the hydrodynamic coefficients cases
"""
signature = __name__ + '.read_results(hdf5_data)'
logger = logging.getLogger(__name__)
utility.log_entrance(logger, signature, {"hdf5_data": str(hdf5_data)})
idx_force = hdf5_data.get(structure.H5_RESULTS_CASE_FORCE)
utility.check_dataset_type(
idx_force,
name=str(structure.H5_RESULTS_CASE_FORCE_ATTR['description']),
location=structure.H5_RESULTS_CASE_FORCE)
n_integration = idx_force.shape[0]
idx_radiation = hdf5_data.get(structure.H5_RESULTS_CASE_MOTION)
utility.check_dataset_type(
idx_radiation,
name=str(structure.H5_RESULTS_CASE_MOTION_ATTR['description']),
location=structure.H5_RESULTS_CASE_MOTION)
n_radiation = idx_radiation.shape[0]
beta = hdf5_data.get(structure.H5_RESULTS_CASE_BETA)
utility.check_dataset_type(
beta,
name=str(structure.H5_RESULTS_CASE_BETA_ATTR['description']),
location=structure.H5_RESULTS_CASE_BETA)
n_beta = beta.shape[0]
w = hdf5_data.get(structure.H5_RESULTS_CASE_W)
utility.check_dataset_type(
beta,
name=str(structure.H5_RESULTS_CASE_W_ATTR['description']),
location=structure.H5_RESULTS_CASE_W)
n_w = w.shape[0]
theta = hdf5_data.get(structure.H5_RESULTS_CASE_THETA)
n_theta = theta.shape[0]
result = TResult(n_w, n_radiation, n_integration, n_theta, n_beta)
result.idx_force = idx_force
result.idx_radiation = idx_radiation
result.beta = beta
result.w = w
result.theta = theta
forces = hdf5_data.get(structure.H5_RESULTS_FORCES)
for k in range(n_integration):
c = 0
for i in range(n_w):
for j in range(n_beta):
result.diffraction_force[i, j, k] = forces[k, c] * np.exp(
complex(0, 1) * forces[k, c + 1])
c += 2
for j in range(n_radiation):
result.added_mass[i, j, k] = forces[k, c]
result.radiation_damping[i, j, k] = forces[k, c + 1]
c += 2
result.froudkrylov_force = hdf5_data.get(
structure.H5_RESULTS_FK_FORCES_RAW)
utility.log_exit(logger, signature, [str(result)])
return result
def run(hdf5_data):
"""
Run the solver
Args:
hdf5_data: object, the hdf5 opened storage
Returns:
the output of the fortran function as string if successful
"""
signature = __name__ + '.run(hdf5_data)'
logger = logging.getLogger(__name__)
utility.log_entrance(logger, signature, {'hdf5_data': hdf5_data})
data = init_data()
data["log_level"] = logging.getLogger().getEffectiveLevel()
dset = utility.get_1d_array(logger,
hdf5_data,
"H5_L10_COUNT",
expected_dim=4)
offset = 1
l10_i_sym = int(dset[0])
n_points = int(dset[1])
n_panels = int(dset[2])
n_bodies = int(dset[3])
mesh_cpanel = utility.get_dataset(hdf5_data, 'H5_L10_CPANEL')
mesh_xm = utility.get_dataset(hdf5_data, 'H5_L10_XM')
mesh_n = utility.get_dataset(hdf5_data, 'H5_L10_N')
mesh_a = utility.get_dataset(hdf5_data, 'H5_L10_A')
dset = utility.get_1d_array(logger,
hdf5_data,
"H5_L12_COUNT",
expected_dim=2)
i_sym = int(dset[1])
if l10_i_sym != i_sym or int(dset[0]) != 2:
raise ValueError(
'Stopping because the mesh file format is not correct.'
'The symmetry about xoz axis is inconsistent')
data["i_sym"] = i_sym
data["mesh_p"] = np.asarray(utility.get_dataset(hdf5_data, 'H5_L12_P'),
order='F',
dtype='i')
data["mesh_x"] = np.asarray(utility.get_dataset(hdf5_data, 'H5_L12_X'),
order='F',
dtype='f')
data["n_points"] = n_points
data["n_panels"] = n_panels
data["n_bodies"] = n_bodies
data["mesh_cpanel"] = np.asarray(mesh_cpanel, order='F', dtype='i')
data["mesh_xm"] = np.asarray(mesh_xm, order='F', dtype='f')
data["mesh_n"] = np.asarray(mesh_n, order='F', dtype='f')
data["mesh_a"] = np.asarray(mesh_a, order='F', dtype='f')
dset = utility.get_dataset(hdf5_data, 'H5_NORMAL_VELOCITY_W')
bc_omega = np.asarray(dset, order='F', dtype='f')
n_problems = bc_omega.shape[0]
data["bc_omega"] = bc_omega
data["n_problems"] = n_problems
dset = utility.get_dataset(hdf5_data, 'H5_NORMAL_VELOCITY_BETA')
data["bc_switch_type"] = np.asarray(dset, order='F', dtype='i')
dset = utility.get_dataset(hdf5_data,
'H5_NORMAL_VELOCITY_SWITCH_POTENTIAL')
data["bc_switch_potential"] = np.asarray(dset, order='F', dtype='i')
dset = utility.get_dataset(hdf5_data,
'H5_NORMAL_VELOCITY_SWITCH_FREE_SURFACE')
data["bc_switch_freesurface"] = np.asarray(dset, order='F', dtype='i')
dset = utility.get_dataset(hdf5_data, 'H5_NORMAL_VELOCITY_SWITCH_KOCHIN')
data["bc_switch_kochin"] = np.asarray(dset, order='F', dtype='i')
dset = utility.get_dataset(hdf5_data, 'H5_NORMAL_VELOCITY_VELOCITIES')
data["bc_normal_velocity"] = np.asarray(dset, order='F', dtype='F')
data["nbc_panels"] = data["bc_normal_velocity"].shape[0]
data["rho"] = utility.get_1d_array(logger,
hdf5_data,
"H5_ENV_VOLUME",
expected_dim=1)[0]
data["g"] = utility.get_1d_array(logger,
hdf5_data,
"H5_ENV_GRAVITY",
expected_dim=1)[0]
data["depth"] = utility.get_1d_array(logger,
hdf5_data,
"H5_ENV_DEPTH",
expected_dim=1)[0]
dset = utility.get_1d_array(logger,
hdf5_data,
"H5_ENV_WAVE_POINT",
expected_dim=2)
data["xeff"] = dset[0]
data["y_eff"] = dset[1]
data["indiq_solver"] = utility.get_1d_array(logger,
hdf5_data,
"H5_SOLVER_TYPE",
expected_dim=1)[0]
data["max_iterations"] = utility.get_1d_array(
logger, hdf5_data, "H5_SOLVER_GMRES_MAX_ITERATIONS", 1)[0]
data["restart_param"] = utility.get_1d_array(logger,
hdf5_data,
"H5_SOLVER_GMRES_RESTART",
expected_dim=1)[0]
data["tol_gmres"] = utility.get_1d_array(logger,
hdf5_data,
"H5_SOLVER_GMRES_STOPPING",
expected_dim=1)[0]
data["nds"] = np.asarray(utility.get_dataset(hdf5_data,
'H5_MESH_INTEGRATION'),
order='F',
dtype='f')
data["n_integration"] = data["nds"].shape[0]
data["use_higher_order"] = utility.get_1d_array(
logger, hdf5_data, "H5_SOLVER_USE_HIGHER_ORDER", 1)[0]
data["num_panel_higher_order"] = utility.get_1d_array(
logger, hdf5_data, "H5_SOLVER_NUM_PANEL_HIGHER_ORDER", 1)[0]
data["b_spline_order"] = utility.get_1d_array(logger,
hdf5_data,
"H5_SOLVER_B_SPLINE_ORDER",
expected_dim=1)[0]
data["theta"] = np.asarray(utility.get_dataset(hdf5_data,
'H5_MESH_KOCHIN'),
order='F',
dtype='f')
data["n_theta"] = data["theta"].shape[0]
data["meshfs_x"] = np.asarray(utility.get_2d_array(
logger, hdf5_data, "H5_MESH_FREE_SURFACE_VECTORS"),
dtype='f')
data["nfs_points"] = data["meshfs_x"].shape[1]
data["meshfs_p"] = np.asarray(utility.get_2d_array(
logger, hdf5_data, "H5_MESH_FREE_SURFACE_INDEX"),
order='F',
dtype='i') + offset
data["nfs_panels"] = data["meshfs_p"].shape[1]
data["out_phi"] = np.zeros((n_problems, 1 + data["nfs_points"]),
dtype='F',
order="F")
data["out_pressure"] = np.zeros((n_problems, data["nbc_panels"]),
dtype='F',
order="F")
data["out_hkochin"] = np.zeros((n_problems, data["n_theta"]),
dtype='F',
order="F")
data["line"] = np.zeros((data["n_integration"], n_problems * 2),
order="F",
dtype='f')
data["drift_forces"] = np.zeros((n_problems, data["n_theta"], 2),
order="F",
dtype='f')
data["yaw_moment"] = np.zeros((n_problems, data["n_theta"]),
order="F",
dtype='f')
data["center_buoyancy"] = np.zeros((n_bodies, 3), order="F", dtype='f')
data["displacement"] = np.zeros((n_bodies), order="F", dtype='f')
data["waterplane_area"] = np.zeros((n_bodies), order="F", dtype='f')
data["stifness"] = np.zeros((n_bodies, 6, 6), order="F", dtype='f')
n_potentials = 5 * n_points * (1 + (i_sym == 1)) + 9 * n_panels * (
1 + (i_sym == 1))
data["out_potential"] = np.zeros((n_problems, n_potentials),
dtype='f',
order="F")
data["n_potentials"] = n_potentials
data["n_tabulatedx"] = int(
utility.get_1d_array(logger, hdf5_data,
"H5_SOLVER_GREEN_TABULATION_NUMX", 1)[0])
data["n_tabulatedz"] = int(
utility.get_1d_array(logger, hdf5_data,
"H5_SOLVER_GREEN_TABULATION_NUMZ", 1)[0])
data["n_points_simpson"] = int(
utility.get_1d_array(logger, hdf5_data,
"H5_SOLVER_GREEN_TABULATION_SIMPSON_NPOINTS",
1)[0])
dset = utility.get_dataset(hdf5_data, 'H5_SOLVER_SWITCH_ODE_INFLUENCE')
data["fast_influence_switch"] = np.asarray(dset, order='F', dtype='i')
data["is_interior_domain"] = np.zeros((n_panels), dtype='i', order="F")
remove_irregular_frequencies = utility.get_1d_array(
logger, hdf5_data, "H5_SOLVER_REMOVE_IRREGULAR_FREQUENCIES", 1)[0]
if remove_irregular_frequencies:
# Bug??? Previous code used dset = hdf5_data.get(structure.H5_SOLVER_REMOVE_IRREGULAR_FREQUENCIES)
dset = utility.get_dataset(hdf5_data, 'H5_SOLVER_IS_INTERIOR_DOMAIN')
data["is_interior_domain"] = np.asarray(dset, order='F', dtype='i')
dset = utility.get_dataset(hdf5_data, 'H5_RESULTS_CASE_BETA')
data["beta"] = np.asarray(dset, order='F', dtype='f')
data["n_beta"] = data["beta"].shape[0]
dset = utility.get_dataset(hdf5_data, 'H5_RESULTS_CASE_RADIATION')
data["rad_case"] = np.asarray(dset, order='F', dtype='f')
data["n_radiation"] = data["rad_case"].shape[0]
dset = utility.get_dataset(hdf5_data, 'H5_SOLVER_THIN_PANELS')
data["is_thin_body"] = np.asarray(dset, order='F', dtype='i')
dset = utility.get_dataset(hdf5_data,
'H5_SOLVER_USE_DIPOLES_IMPLEMENTATION')
data["use_dipoles_implementation"] = dset[0]
data["remove_irregular_frequencies"] = utility.get_dataset(
hdf5_data, 'H5_SOLVER_REMOVE_IRREGULAR_FREQUENCIES')[0]
dset = utility.get_1d_array(logger, hdf5_data,
"H5_SOLVER_COMPUTE_YAW_MOMENT", 1)
data["compute_yaw_moment"] = dset[0]
dset = utility.get_1d_array(logger, hdf5_data,
"H5_SOLVER_COMPUTE_DRIFT_FORCES", 1)
data["compute_drift_forces"] = dset[0]
# Disable kochin, yaw moments and drift forces
if data["use_higher_order"] == 1 or data["use_dipoles_implementation"] == 1:
data["n_theta"] = 0
logger.info(
'Disabling koching, yaw monment and drift forces computation as '
'not supported when higher order panel or dipoles implementation is '
'enabled')
#with CaptureOutput() as capturer:
solver_fortran.run_solver(data)
write_result(hdf5_data, data)
def write_result(hdf5_data, data):
"""
Write the result from nemoh fortran to the hdf5
Args:
hdf5_data: object the hdf5 opened data
data: the data sent from nemoh fortran
"""
signature = __name__ + '.write_result(hdf5_data, data)'
logger = logging.getLogger(__name__)
# data is too huge for logging
utility.log_entrance(logger, signature, {'hdf5_data': hdf5_data})
dset = utility.require_dataset(hdf5_data,
structure.H5_RESULTS_FORCES,
data["line"].shape,
dtype='f')
utility.set_hdf5_attributes(dset, structure.H5_RESULTS_FORCES_ATTR)
dset[:, :] = data["line"].astype(copy=False, dtype='f')
temp = np.array(data["out_potential"], dtype='f')
count_skip = 0
for i in range(data["n_problems"]):
if data["bc_switch_potential"][i] != 1:
temp[i, :] = 0
count_skip += 1
if count_skip == data["n_problems"]:
temp = np.zeros((0, 0), dtype='f')
dset = utility.require_dataset(hdf5_data,
structure.H5_RESULTS_POTENTIAL,
temp.shape,
dtype='f')
utility.set_hdf5_attributes(dset, structure.H5_RESULTS_POTENTIAL_ATTR)
dset[:, :] = temp
kochin = np.zeros((data["n_theta"], 3, data["n_problems"]), dtype='f')
count_skip = 0
for i in range(data["n_problems"]):
if data["bc_switch_kochin"][i] == 1:
for j in range(data["n_theta"]):
kochin[j, 0, i] = data["theta"][j]
kochin[j, 1, i] = np.abs(data["out_hkochin"][i, j])
kochin[j, 2,
i] = np.arctan2(np.imag(data["out_hkochin"][i, j]),
np.real(data["out_hkochin"][i, j]))
else:
count_skip += 1
if count_skip == data["n_problems"]:
kochin = np.zeros((0, 0, 0), dtype='f')
dset = utility.require_dataset(hdf5_data,
structure.H5_RESULTS_KOCHIN,
kochin.shape,
dtype='f')
utility.set_hdf5_attributes(dset, structure.H5_RESULTS_KOCHIN_ATTR)
dset[:, :, :] = kochin
temp = np.zeros((data["nfs_points"], 6, data["n_problems"]), dtype='f')
count_skip = 0
for i in range(data["n_problems"]):
if data["bc_switch_freesurface"][i] == 1:
for j in range(data["nfs_points"]):
temp[j, 0, i] = data["meshfs_x"][0, j]
temp[j, 1, i] = data["meshfs_x"][1, j]
temp[j, 2, i] = np.abs(data["out_phi"][i, j])
temp[j, 3, i] = np.arctan2(np.imag(data["out_phi"][i, j]),
np.real(data["out_phi"][i, j]))
temp[j, 4, i] = -np.imag(data["out_phi"][i, j])
temp[j, 5, i] = -np.real(data["out_phi"][i, j])
else:
count_skip += 1
if count_skip == data["n_problems"]:
temp = np.zeros((0, 0, 0), dtype='f')
dset = utility.require_dataset(hdf5_data,
structure.H5_RESULTS_FREE_SURFACE_POINTS,
temp.shape,
dtype='f')
utility.set_hdf5_attributes(dset,
structure.H5_RESULTS_FREE_SURFACE_POINTS_ATTR)
dset[:, :, :] = temp
temp = np.zeros((data["nfs_panels"], 4, data["n_problems"]), dtype='f')
count_skip = 0
for i in range(data["n_problems"]):
if data["bc_switch_freesurface"][i] == 1:
for j in range(data["nfs_panels"]):
temp[j, :, i] = data["meshfs_p"]
else:
count_skip += 1
if count_skip == data["n_problems"]:
temp = np.zeros((0, 0, 0), dtype='f')
dset = utility.require_dataset(hdf5_data,
structure.H5_RESULTS_FREE_SURFACE_PANEL,
temp.shape,
dtype='f')
utility.set_hdf5_attributes(dset,
structure.H5_RESULTS_FREE_SURFACE_PANEL_ATTR)
dset[:, :, :] = temp
dset = utility.require_dataset(hdf5_data,
structure.H5_RESULTS_DRIFT_FORCES,
data["drift_forces"].shape,
dtype='f')
utility.set_hdf5_attributes(dset, structure.H5_RESULTS_DRIFT_FORCES_ATTR)
dset[:, :, :] = data["drift_forces"]
dset = utility.require_dataset(hdf5_data,
structure.H5_RESULTS_YAW_MOMENT,
data["yaw_moment"].shape,
dtype='f')
utility.set_hdf5_attributes(dset, structure.H5_RESULTS_YAW_MOMENT_ATTR)
dset[:, :] = data["yaw_moment"]
dset = utility.require_dataset(hdf5_data,
structure.H5_RESULTS_CENTER_BUOYANCY,
data["center_buoyancy"].shape,
dtype='f')
utility.set_hdf5_attributes(dset,
structure.H5_RESULTS_CENTER_BUOYANCY_ATTR)
dset[:, :] = data["center_buoyancy"]
dset = utility.require_dataset(hdf5_data,
structure.H5_RESULTS_VOLUME_DISPLACEMENT,
data["displacement"].shape,
dtype='f')
utility.set_hdf5_attributes(dset,
structure.H5_RESULTS_VOLUME_DISPLACEMENT_ATTR)
dset[:] = data["displacement"]
dset = utility.require_dataset(hdf5_data,
structure.H5_RESULTS_WATER_PLANE_AREA,
data["waterplane_area"].shape,
dtype='f')
utility.set_hdf5_attributes(dset,
structure.H5_RESULTS_WATER_PLANE_AREA_ATTR)
dset[:] = data["waterplane_area"]
dset = utility.require_dataset(hdf5_data,
structure.H5_RESULTS_STIFNESS,
data["stifness"].shape,
dtype='f')
utility.set_hdf5_attributes(dset, structure.H5_RESULTS_STIFNESS_ATTR)
dset[:, :, :] = data["stifness"]
utility.log_exit(logger, signature, [None])
def run(hdf5_data, custom_config):
"""
This function run the postprocessor
Args:
hdf5_data: object, the hdf5 opened file
custom_config, dict The custom configuration dictionary
"""
logger = logging.getLogger(__name__)
signature = __name__ + '.run(hdf5_data, custom_config)'
# No need to log the parameter of the method here as it will only be duplicate.
# This function is never called directly by the user and always call from the postprocess function
# which already logs the configuration.
utility.log_entrance(logger, signature,
{})
logger.info('Initialisation the post processing steps')
logger.info('Reading environment data ...')
environment = utility.read_environment(hdf5_data)
logger.info('Read environment data' + str(environment))
logger.info('Reading simulation results')
result = read_results(hdf5_data)
logger.info('Read solver result ' + str(result))
logger.info('Post processing initialisation done !')
# Saving to hdf5 file
dset = utility.require_dataset(hdf5_data, structure.H5_RESULTS_ADDED_MASS, result.added_mass.shape, dtype='f')
utility.set_hdf5_attributes(dset, structure.H5_RESULTS_ADDED_MASS_ATTR)
dset[:, :, :] = result.added_mass
logger.info('Saved ' + str(structure.H5_RESULTS_ADDED_MASS_ATTR['description']) +
' at ' + structure.H5_RESULTS_ADDED_MASS + ' with characteristics ' +
str(dset))
dset = utility.require_dataset(hdf5_data, structure.H5_RESULTS_RADIATION_DAMPING, result.radiation_damping.shape, dtype='f')
utility.set_hdf5_attributes(dset, structure.H5_RESULTS_RADIATION_DAMPING_ATTR)
dset[:, :, :] = result.radiation_damping
logger.info('Saved ' + str(structure.H5_RESULTS_RADIATION_DAMPING_ATTR['description']) +
' at ' + structure.H5_RESULTS_RADIATION_DAMPING + ' with characteristics ' +
str(dset))
excitation_forces = result.diffraction_force + result.froudkrylov_force
dset = utility.require_dataset(hdf5_data, structure.H5_RESULTS_EXCITATION_FORCES, excitation_forces.shape, dtype='F')
utility.set_hdf5_attributes(dset, structure.H5_RESULTS_EXCITATION_FORCES_ATTR)
dset[:, :, :] = excitation_forces
logger.info('Saved ' + str(structure.H5_RESULTS_EXCITATION_FORCES_ATTR['description']) +
' at ' + structure.H5_RESULTS_EXCITATION_FORCES + ' with characteristics ' +
str(dset))
tec_file = utility.get_setting(settings.RADIATION_COEFFICIENTS_TEC_FILE, custom_config,
'RADIATION_COEFFICIENTS_TEC_FILE')
if tec_file:
save_radiation_coefficients(result, tec_file)
logger.info('Radiation coefficients successfully saved in tecplot format at ' +
str(tec_file))
else:
logger.info('Radiation coefficients tecplot format generation is disabled')
tec_file = utility.get_setting(settings.DIFFRACTION_FORCE_TEC_FILE, custom_config,
'DIFFRACTION_FORCE_TEC_FILE')
if tec_file:
save_diffraction_force(result, tec_file)
logger.info('Diffraction forces successfully saved in tecplot format at ' +
str(tec_file))
else:
logger.info('Diffraction forces tecplot format generation is disabled')
tec_file = utility.get_setting(settings.EXCITATION_FORCE_TEC_FILE, custom_config,
'EXCITATION_FORCE_TEC_FILE')
if tec_file:
save_excitation_force(result, tec_file)
logger.info('Excitation forces successfully saved in tecplot format at ' +
str(tec_file))
else:
logger.info('Excitation forces tecplot format generation is disabled')
irf = get_irf(hdf5_data, result)
if irf.switch == 1:
irf = compute_irf(result, irf)
# Saving to hdf5 file
dset = utility.require_dataset(hdf5_data, structure.H5_RESULTS_ADDED_MASS_INFINITE, irf.added_mass.shape, dtype='f')
utility.set_hdf5_attributes(dset, structure.H5_RESULTS_ADDED_MASS_INFINITE_ATTR)
dset[:, :] = irf.added_mass
tec_file = utility.get_setting(settings.IRF_TEC_FILE, custom_config,
'IRF_TEC_FILE')
if tec_file:
save_irf(irf, tec_file)
logger.info('IRF successfully saved in tecplot format at ' +
str(tec_file))
else:
logger.info('IRF tecplot format generation is disabled')
else:
logger.info('IRF computation is disabled')
raos = np.zeros((result.n_integration, result.n_w, result.n_beta), dtype='F')
raos = compute_raos(raos, result)
tec_file = utility.get_setting(settings.WAVE_FIELD_TEC_FILE, custom_config,
'WAVE_FIELD_TEC_FILE')
dset = hdf5_data.get(structure.H5_SOLVER_USE_HIGHER_ORDER)
utility.check_dataset_type(dset,
name=str(structure.H5_SOLVER_USE_HIGHER_ORDER_ATTR['description']),
location=structure.H5_SOLVER_USE_HIGHER_ORDER)
use_higher_order = dset[0]
dset = hdf5_data.get(structure.H5_SOLVER_USE_DIPOLES_IMPLEMENTATION)
utility.check_dataset_type(dset,
name=str(structure.H5_SOLVER_USE_DIPOLES_IMPLEMENTATION_ATTR['description']),
location=structure.H5_SOLVER_USE_DIPOLES_IMPLEMENTATION)
use_dipoles_implementation = dset[0]
dset = hdf5_data.get(structure.H5_SOLVER_REMOVE_IRREGULAR_FREQUENCIES)
utility.check_dataset_type(dset,
name=str(structure.H5_SOLVER_REMOVE_IRREGULAR_FREQUENCIES_ATTR['description']),
location=structure.H5_SOLVER_REMOVE_IRREGULAR_FREQUENCIES)
remove_irregular_frequencies = dset[0]
# Wave Elevation computation and tec generation
if result.n_theta < 1:
tec_file = None
logger.info('Wave elevation tecplot format generation is disabled because there is no directions (Kochin)')
if tec_file:
if use_higher_order != 1 and use_dipoles_implementation != 1 and remove_irregular_frequencies != 1:
res = compute_wave_elevation(hdf5_data, environment, 0, 0, raos, result)
save_wave_elevation(res['w'], res['etai'], res["etap"], res["eta"], res["x"], res["y"],
tec_file)
logger.info('Wave elevation successfully saved in tecplot format at ' +
str(tec_file))
else:
logger.info('Wave elevation computation is not supported when higher order panel, ' +
'used diplome implementation or remove irregular frequencies are enabled.' +
' Disabling it.')
else:
logger.info('Wave elevation tecplot format generation is disabled')
def compute_wave_elevation(hdf5_data, environment, iw, ibeta, raos, result):
"""
Computes the wave elevation
Args:
hdf5_data: object, the hdf5 opened file
environment: object, the environment
iw: int, the index of the wave frequency to use
ibeta: int, the index of the wave direction to use
raos: object, the raos
result: the hydrodynamic coefficients cases
Returns:
A dictionary containing the wave elevation variables
"""
signature = __name__ + '.compute_wave_elevation(hdf5_data, environment, iw, ibeta, raos, result)'
logger = logging.getLogger(__name__)
utility.log_entrance(logger, signature,
{"hdf5_data": str(hdf5_data),
"environment": str(environment),
"iw": str(iw),
"ibeta": str(ibeta),
"raos": str(raos),
"result": str(result)})
dset = hdf5_data.get(structure.H5_FREE_SURFACE_POINTS_X)
utility.check_dataset_type(dset, name=str(structure.H5_FREE_SURFACE_POINTS_X_ATTR['description']),
location=structure.H5_FREE_SURFACE_POINTS_X)
nx = dset[0]
dset = hdf5_data.get(structure.H5_FREE_SURFACE_POINTS_Y)
utility.check_dataset_type(dset, name=str(structure.H5_FREE_SURFACE_POINTS_Y_ATTR['description']),
location=structure.H5_FREE_SURFACE_POINTS_Y)
ny = dset[0]
dset = hdf5_data.get(structure.H5_FREE_SURFACE_DIMENSION_X)
utility.check_dataset_type(dset, name=str(structure.H5_FREE_SURFACE_DIMENSION_X_ATTR['description']),
location=structure.H5_FREE_SURFACE_DIMENSION_X)
lx = dset[0]
dset = hdf5_data.get(structure.H5_FREE_SURFACE_DIMENSION_Y)
utility.check_dataset_type(dset, name=str(structure.H5_FREE_SURFACE_DIMENSION_Y_ATTR['description']),
location=structure.H5_FREE_SURFACE_DIMENSION_Y)
ly = dset[0]
x = np.zeros(nx, dtype='f')
y = np.zeros(ny, dtype='f')
etai = np.zeros((nx, ny), dtype='F')
etap = np.zeros((nx, ny), dtype='F')
eta = np.zeros((nx, ny), dtype='F')
for i in range(nx):
x[i] = -0.5*lx+lx*(i)/(nx-1)
for i in range(ny):
y[i] = -0.5*ly+ly*(i)/(ny-1)
w = result.w[iw]
logger.info('Computing the wave number ...')
kwave = utility.compute_wave_number(w, environment)
logger.info('Wave number computed is ' + str(kwave))
for i in range(nx):
for j in range(ny):
r = np.sqrt((x[i] - environment.x_eff)**2 + (y[j] - environment.y_eff)**2)
theta = np.arctan2(y[j]-environment.y_eff, x[i]-environment.x_eff)
k = 0
while (k < result.n_theta -1) and (result.theta[k+1] < theta):
k += 1
if k == result.n_theta:
raise ValueError(' Error: range of theta in Kochin coefficients is too small')
coord = np.array([x[i], y[i], 0])
one_wave = preprocessor.compute_one_wave(kwave, w, result.beta[ibeta], coord, environment)
potential = one_wave["phi"]
etai[i, j] = 1./environment.g*utility.II*w*one_wave["phi"]
HKleft=0.
HKright=0.
for l in range(result.n_radiation):
HKleft=HKleft+raos[l,iw,ibeta]*result.hkochin_radiation[iw,l,k]
HKright=HKright+raos[l,iw,ibeta]*result.hkochin_radiation[iw,l,k+1]
HKleft=HKleft+result.hkochin_diffraction[iw,ibeta,k]
HKright=HKright+result.hkochin_diffraction[iw,ibeta,k+1]
HKochin=HKleft+(HKright-HKleft)*(theta-result.theta[k])/(result.theta[k+1]-result.theta[k])
if r > 0:
potential = np.sqrt(kwave/(2.*np.pi*r))*cih(kwave,0.,environment.depth)* np.exp(utility.II*(kwave*r-0.25*np.pi))*HKochin
else:
potential = 0
etap[i,j]=-utility.II*1./environment.g*utility.II*w*potential
eta[i,j]=etai[i,j]+etap[i,j]
rep = {"w": w, "x": x, "y": y, "eta": eta, "etai": etai, "etap": etap}
utility.log_exit(logger, signature, [rep])
return rep
def compute_wave_elevation(hdf5_data, environment, iw, ibeta, raos, result):
"""
Computes the wave elevation
Args:
hdf5_data: object, the hdf5 opened file
environment: object, the environment
iw: int, the index of the wave frequency to use
ibeta: int, the index of the wave direction to use
raos: object, the raos
result: the hydrodynamic coefficients cases
Returns:
A dictionary containing the wave elevation variables
"""
signature = __name__ + '.compute_wave_elevation(hdf5_data, environment, iw, ibeta, raos, result)'
logger = logging.getLogger(__name__)
utility.log_entrance(
logger, signature, {
"hdf5_data": str(hdf5_data),
"environment": str(environment),
"iw": str(iw),
"ibeta": str(ibeta),
"raos": str(raos),
"result": str(result)
})
dset = hdf5_data.get(structure.H5_FREE_SURFACE_POINTS_X)
utility.check_dataset_type(
dset,
name=str(structure.H5_FREE_SURFACE_POINTS_X_ATTR['description']),
location=structure.H5_FREE_SURFACE_POINTS_X)
nx = dset[0]
dset = hdf5_data.get(structure.H5_FREE_SURFACE_POINTS_Y)
utility.check_dataset_type(
dset,
name=str(structure.H5_FREE_SURFACE_POINTS_Y_ATTR['description']),
location=structure.H5_FREE_SURFACE_POINTS_Y)
ny = dset[0]
dset = hdf5_data.get(structure.H5_FREE_SURFACE_DIMENSION_X)
utility.check_dataset_type(
dset,
name=str(structure.H5_FREE_SURFACE_DIMENSION_X_ATTR['description']),
location=structure.H5_FREE_SURFACE_DIMENSION_X)
lx = dset[0]
dset = hdf5_data.get(structure.H5_FREE_SURFACE_DIMENSION_Y)
utility.check_dataset_type(
dset,
name=str(structure.H5_FREE_SURFACE_DIMENSION_Y_ATTR['description']),
location=structure.H5_FREE_SURFACE_DIMENSION_Y)
ly = dset[0]
x = np.zeros(nx, dtype='f')
y = np.zeros(ny, dtype='f')
etai = np.zeros((nx, ny), dtype='F')
etap = np.zeros((nx, ny), dtype='F')
eta = np.zeros((nx, ny), dtype='F')
for i in range(nx):
x[i] = -0.5 * lx + lx * (i) / (nx - 1)
for i in range(ny):
y[i] = -0.5 * ly + ly * (i) / (ny - 1)
w = result.w[iw]
logger.info('Computing the wave number ...')
kwave = utility.compute_wave_number(w, environment)
logger.info('Wave number computed is ' + str(kwave))
for i in range(nx):
for j in range(ny):
r = np.sqrt((x[i] - environment.x_eff)**2 +
(y[j] - environment.y_eff)**2)
theta = np.arctan2(y[j] - environment.y_eff,
x[i] - environment.x_eff)
k = 0
while (k < result.n_theta - 1) and (result.theta[k + 1] < theta):
k += 1
if k == result.n_theta:
raise ValueError(
' Error: range of theta in Kochin coefficients is too small'
)
coord = np.array([x[i], y[i], 0])
one_wave = preprocessor.compute_one_wave(kwave, w,
result.beta[ibeta], coord,
environment)
potential = one_wave["phi"]
etai[i, j] = 1. / environment.g * utility.II * w * one_wave["phi"]
HKleft = 0.
HKright = 0.
for l in range(result.n_radiation):
HKleft = HKleft + raos[
l, iw, ibeta] * result.hkochin_radiation[iw, l, k]
HKright = HKright + raos[
l, iw, ibeta] * result.hkochin_radiation[iw, l, k + 1]
HKleft = HKleft + result.hkochin_diffraction[iw, ibeta, k]
HKright = HKright + result.hkochin_diffraction[iw, ibeta, k + 1]
HKochin = HKleft + (HKright - HKleft) * (
theta - result.theta[k]) / (result.theta[k + 1] -
result.theta[k])
if r > 0:
potential = np.sqrt(kwave / (2. * np.pi * r)) * cih(
kwave, 0., environment.depth) * np.exp(
utility.II * (kwave * r - 0.25 * np.pi)) * HKochin
else:
potential = 0
etap[
i,
j] = -utility.II * 1. / environment.g * utility.II * w * potential
eta[i, j] = etai[i, j] + etap[i, j]
rep = {"w": w, "x": x, "y": y, "eta": eta, "etai": etai, "etap": etap}
utility.log_exit(logger, signature, [rep])
return rep
def save_wave_elevation(w, etai, etap, eta, x, y, filename):
"""
Save the wave elevation to a file in tec format
Args:
w: float, the wave frequency
etai: 2D array, a wave elevation variable
eta: 2D array, a wave elevation variable
etap: 2D array, a wave elevation variable
x: 1D array, a wave elevation variable
y: 1D array, a wave elevation variable
filename: string, the path to the file where to save
"""
signature = __name__ + '.save_wave_elevation(w, etai, etap, eta, x, y, filename)'
logger = logging.getLogger(__name__)
utility.log_entrance(
logger, signature, {
"w": w,
"etai": etai,
"etap": etap,
"eta": eta,
"x": x,
"y": y,
"filename": filename
})
nx = len(x)
ny = len(y)
utility.mkdir_p(os.path.abspath(os.path.dirname(filename)))
with open(filename, 'w') as inp:
s = 'VARIABLES="X" "Y" "etaI_C" "etaI_S" "etaP_C" "etaC_S" '
s += '"etaI_C+etaP_C" "etaI_S+etaI_P" "|etaP|" "|etaI+etaP|"\n'
inp.write(s)
s = 'ZONE t="Wave frequency - w = '
s += str(w) + '",N=\t' + str(nx * ny) + ', E=\t' + str(
(nx - 1) * (nx - 1)) + '\t , F=FEPOINT,ET=QUADRILATERAL\n'
inp.write(s)
for i in range(nx):
for j in range(ny):
s = str(x[i]) + '\t' + str(y[j]) + '\t' + str(
np.real(etai[i, j])) + '\t'
s += str(np.imag(etai[i, j])) + '\t' + str(np.real(
etap[i, j])) + '\t'
s += str(np.imag(etap[i, j])) + '\t' + str(
np.real(etai[i, j] + etap[i, j])) + '\t'
s += str(np.imag(etai[i, j] + etap[i, j])) + '\t' + str(
np.abs(etap[i, j])) + '\t'
s += str(np.abs(eta[i, j])) + '\n'
inp.write(s)
for i in range(nx - 1):
for j in range(ny - 1):
s = str(j + 1 + i * ny) + '\t' + str(
j + 1 + (i + 1) * ny) + '\t' + str(j + 2 + i * ny) + '\n'
inp.write(s)
utility.log_and_print(
logger,
utility.get_abs(filename) +
' contains the wave elevation in tec format.')
utility.log_exit(logger, signature, [None])
def run(hdf5_data, custom_config):
"""
This function run the postprocessor
Args:
hdf5_data: object, the hdf5 opened file
custom_config, dict The custom configuration dictionary
"""
logger = logging.getLogger(__name__)
signature = __name__ + '.run(hdf5_data, custom_config)'
# No need to log the parameter of the method here as it will only be duplicate.
# This function is never called directly by the user and always call from the postprocess function
# which already logs the configuration.
utility.log_entrance(logger, signature, {})
logger.info('Initialisation the post processing steps')
logger.info('Reading environment data ...')
environment = utility.read_environment(hdf5_data)
logger.info('Read environment data' + str(environment))
logger.info('Reading simulation results')
result = read_results(hdf5_data)
logger.info('Read solver result ' + str(result))
logger.info('Post processing initialisation done !')
# Saving to hdf5 file
dset = utility.require_dataset(hdf5_data,
structure.H5_RESULTS_ADDED_MASS,
result.added_mass.shape,
dtype='f')
utility.set_hdf5_attributes(dset, structure.H5_RESULTS_ADDED_MASS_ATTR)
dset[:, :, :] = result.added_mass
logger.info('Saved ' +
str(structure.H5_RESULTS_ADDED_MASS_ATTR['description']) +
' at ' + structure.H5_RESULTS_ADDED_MASS +
' with characteristics ' + str(dset))
dset = utility.require_dataset(hdf5_data,
structure.H5_RESULTS_RADIATION_DAMPING,
result.radiation_damping.shape,
dtype='f')
utility.set_hdf5_attributes(dset,
structure.H5_RESULTS_RADIATION_DAMPING_ATTR)
dset[:, :, :] = result.radiation_damping
logger.info(
'Saved ' +
str(structure.H5_RESULTS_RADIATION_DAMPING_ATTR['description']) +
' at ' + structure.H5_RESULTS_RADIATION_DAMPING +
' with characteristics ' + str(dset))
excitation_forces = result.diffraction_force + result.froudkrylov_force
dset = utility.require_dataset(hdf5_data,
structure.H5_RESULTS_EXCITATION_FORCES,
excitation_forces.shape,
dtype='F')
utility.set_hdf5_attributes(dset,
structure.H5_RESULTS_EXCITATION_FORCES_ATTR)
dset[:, :, :] = excitation_forces
logger.info(
'Saved ' +
str(structure.H5_RESULTS_EXCITATION_FORCES_ATTR['description']) +
' at ' + structure.H5_RESULTS_EXCITATION_FORCES +
' with characteristics ' + str(dset))
tec_file = utility.get_setting(settings.RADIATION_COEFFICIENTS_TEC_FILE,
custom_config,
'RADIATION_COEFFICIENTS_TEC_FILE')
if tec_file:
save_radiation_coefficients(result, tec_file)
logger.info(
'Radiation coefficients successfully saved in tecplot format at ' +
str(tec_file))
else:
logger.info(
'Radiation coefficients tecplot format generation is disabled')
tec_file = utility.get_setting(settings.DIFFRACTION_FORCE_TEC_FILE,
custom_config, 'DIFFRACTION_FORCE_TEC_FILE')
if tec_file:
save_diffraction_force(result, tec_file)
logger.info(
'Diffraction forces successfully saved in tecplot format at ' +
str(tec_file))
else:
logger.info('Diffraction forces tecplot format generation is disabled')
tec_file = utility.get_setting(settings.EXCITATION_FORCE_TEC_FILE,
custom_config, 'EXCITATION_FORCE_TEC_FILE')
if tec_file:
save_excitation_force(result, tec_file)
logger.info(
'Excitation forces successfully saved in tecplot format at ' +
str(tec_file))
else:
logger.info('Excitation forces tecplot format generation is disabled')
irf = get_irf(hdf5_data, result)
if irf.switch == 1:
irf = compute_irf(result, irf)
# Saving to hdf5 file
dset = utility.require_dataset(
hdf5_data,
structure.H5_RESULTS_ADDED_MASS_INFINITE,
irf.added_mass.shape,
dtype='f')
utility.set_hdf5_attributes(
dset, structure.H5_RESULTS_ADDED_MASS_INFINITE_ATTR)
dset[:, :] = irf.added_mass
tec_file = utility.get_setting(settings.IRF_TEC_FILE, custom_config,
'IRF_TEC_FILE')
if tec_file:
save_irf(irf, tec_file)
logger.info('IRF successfully saved in tecplot format at ' +
str(tec_file))
else:
logger.info('IRF tecplot format generation is disabled')
else:
logger.info('IRF computation is disabled')
raos = np.zeros((result.n_integration, result.n_w, result.n_beta),
dtype='F')
raos = compute_raos(raos, result)
tec_file = utility.get_setting(settings.WAVE_FIELD_TEC_FILE, custom_config,
'WAVE_FIELD_TEC_FILE')
dset = hdf5_data.get(structure.H5_SOLVER_USE_HIGHER_ORDER)
utility.check_dataset_type(
dset,
name=str(structure.H5_SOLVER_USE_HIGHER_ORDER_ATTR['description']),
location=structure.H5_SOLVER_USE_HIGHER_ORDER)
use_higher_order = dset[0]
dset = hdf5_data.get(structure.H5_SOLVER_USE_DIPOLES_IMPLEMENTATION)
utility.check_dataset_type(
dset,
name=str(structure.
H5_SOLVER_USE_DIPOLES_IMPLEMENTATION_ATTR['description']),
location=structure.H5_SOLVER_USE_DIPOLES_IMPLEMENTATION)
use_dipoles_implementation = dset[0]
dset = hdf5_data.get(structure.H5_SOLVER_REMOVE_IRREGULAR_FREQUENCIES)
utility.check_dataset_type(
dset,
name=str(structure.
H5_SOLVER_REMOVE_IRREGULAR_FREQUENCIES_ATTR['description']),
location=structure.H5_SOLVER_REMOVE_IRREGULAR_FREQUENCIES)
remove_irregular_frequencies = dset[0]
if tec_file:
if use_higher_order != 1 and use_dipoles_implementation != 1 and remove_irregular_frequencies != 1:
res = compute_wave_elevation(hdf5_data, environment, 0, 0, raos,
result)
save_wave_elevation(res['w'], res['etai'], res["etap"], res["eta"],
res["x"], res["y"], tec_file)
logger.info(
'Wave elevation successfully saved in tecplot format at ' +
str(tec_file))
else:
logger.info(
'Wave elevation computation is not supported when higher order panel, '
+
'used diplome implementation or remove irregular frequencies are enabled.'
+ ' Disabling it.')
else:
logger.info('Wave elevation tecplot format generation is disabled')