step = f['grid'].attrs.__getitem__('step')
timeIn = f['grid'].attrs.__getitem__('time')
Re = f['setup'].attrs.__getitem__('Re')
f.close()
print(' with data structure u', u_z.shape)
# subtract mean velocity profile (1d) to obtain full (3d) fluctuating velocity field
u_z = u_z - np.tile(u_zM, (nz, nth, 1)).T
# filter velocity field
print('Filtering velocity components and mixed terms... ',
end='',
flush=True)
tfilter = timeit.default_timer()
import filter2d as f2
u_rF = f2.gauss2d(u_r, lambdaTh, lambdaZ, r, th, z)
u_thF = f2.gauss2d(u_th, lambdaTh, lambdaZ, r, th, z)
u_zF = f2.gauss2d(u_z, lambdaTh, lambdaZ, r, th, z)
u_rRF = f2.gauss2d(u_r * u_r, lambdaTh, lambdaZ, r, th, z)
u_rThF = f2.gauss2d(u_r * u_th, lambdaTh, lambdaZ, r, th, z)
u_rZF = f2.gauss2d(u_r * u_z, lambdaTh, lambdaZ, r, th, z)
u_thThF = f2.gauss2d(u_th * u_th, lambdaTh, lambdaZ, r, th, z)
u_thZF = f2.gauss2d(u_th * u_z, lambdaTh, lambdaZ, r, th, z)
u_zZF = f2.gauss2d(u_z * u_z, lambdaTh, lambdaZ, r, th, z)
print('Time elapsed:', '{:3.1f}'.format(timeit.default_timer() - tfilter),
'seconds')
# compute instantaneous energy flux
tflux = timeit.default_timer()
print('Computing energy flux... ', end='', flush=True)
import eFlux
p = np.array(f['fields/pressure']).transpose(
0, 2, 1) # filter functions were made for u[r,th,z]
step = f['grid'].attrs.__getitem__('step')
timeIn = f['grid'].attrs.__getitem__('time')
Re = f['setup'].attrs.__getitem__('Re')
f.close()
print(' with data structure u', u_z.shape)
# subtract mean velocity profile (1d) to obtain full (3d) fluctuating velocity field
u_z = u_z - np.tile(u_zM, (nz, nth, 1)).T
# filter velocity field
print('Filtering velocity components and pressure... ', end='', flush=True)
t1 = timeit.default_timer()
import filter2d as f2
u_rF = f2.gauss2d(u_r, lambdaTh, lambdaZ, r, th, z)
u_thF = f2.gauss2d(u_th, lambdaTh, lambdaZ, r, th, z)
u_zF = f2.gauss2d(u_z, lambdaTh, lambdaZ, r, th, z)
pF = f2.gauss2d(p, lambdaTh, lambdaZ, r, th, z)
print('Time elapsed:', '{:3.1f}'.format(timeit.default_timer() - t1),
'seconds')
# store result as individual HDF5 file
fnam = 'filteredFieldGauss2d_pipe0002_' + '{:08d}'.format(iFile) + '.h5'
out = h5py.File(fnam, 'w') # open HDF5 file for writing
fields = out.create_group("fields")
scale = out.create_group("scale")
scale.attrs.create("deltaTh", data=lambdaTh)
scale.attrs.create("deltaZ", data=lambdaZ)
grid = out.create_group("grid")
grid.create_dataset("r", data=r)