#
# This file is part of PIRS-2.
#
# PIRS-2 is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# PIRS-2 is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>.
from pirs.tools.plots import MeshPlotter
dmp = load('results/b_iteration_058.dump')
kkk = MeshPlotter()
kkk.figsize = (8, 4)
kkk.add_line(0, 0, (), 'temp', 0, fmt='.k', label='$k_{eff}$')
kkk.xlabel[0] = 'Iteration index'
kkk.ylabel[0] = '$k_{eff}$'
Keff = dmp['Keff'][2:]
Kerr = dmp['Kerr'][2:]
fig = kkk.figure([range(1, len(Keff) + 1), Keff, Kerr])
fig.savefig('res_keff.pdf')
# PIRS-2 is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# PIRS-2 is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>.
from pirs.tools.plots import MeshPlotter
r9 = load('jnter09.dump')['r']
r9i = load('jnter09i.dump')['r']
r9 = r9.get_child((0, 0))
r9i = r9i.get_child((0, 0))
g = MeshPlotter()
# heat
g.add_line(0, 0, (), 'heat', 0, color='r', label='900')
g.add_line(0, 1, (), 'heat', 0, color='k', label='900i')
# differences
g.add_line(1, 2, (), 'heat', 0, color='k', label='900 - 900i')
# axial symmetry
g.add_line(2, 3, (), 'heat', 0, color='r', label='900(z) - 900(-z)')
if argvc[-1] == 'noplot':
# only text file will be printed.
doplot = False
argvc.pop()
else:
doplot = True
# Setup plotting later
ppp = None
for f in argvc:
if '.dump' in f:
print 'printing from ', f
d = load(f)
Ic = d['Ic']
kcode = d['kcode']
sres = d['scf_result']
mres = d['mcnp_result']
Rm = d['relaxed']
prefix = f[:-5]
if doplot:
if ppp is None:
# first, get the proper compound key for the fuel pin to be plotted:
for c in sres.children:
if c.ijk == (Nx, Ny, 0):
for cc in c.values():
if cc.local_key == 'fuel':
# along with this program. If not, see <http://www.gnu.org/licenses/>.
Extracts scf_result data from dump and put it in a text form.
This needs that version of PIRS is installed, that was used to
generate dupms.
"""
import sys
from pirs.tools import dump, load
dfile = sys.argv[1]
print 'extracting from {}'.format(dfile)
dorig = load(dfile)
sres = dorig['scf_result']
print 'sres extracted'
for c in sres.children.values():
for cc in c.values():
if cc.local_key == 'fuel':
# print c.ijk, cc.material
print cc.get_key()
print cc.temp._zmesh__z
print cc.temp._zmesh__v
break
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>.
# set heat meshes
for v in mi.gm.values():
if v.material == 'fuel':
v.heat.set_grid([1] * 20)
if __name__ == '__main__':
mi.wp.prefix = 'm5_'
mi.run('R', tasks=3)
from pirs.tools import dump
dump('m5_.dump', gm=mi.gm)
from pirs.tools.plots import colormap
hx1 = colormap(mi.gm, plane={'x': -0.63}, var='heat', aspect='auto')
hx2 = colormap(mi.gm, plane={'x': 0.63}, var='heat', aspect='auto')
hy1 = colormap(mi.gm, plane={'y': -0.63}, var='heat', aspect='auto')
hy2 = colormap(mi.gm, plane={'y': 0.63}, var='heat', aspect='auto')
hx1.get_figure().savefig('hmcnp5_hx1.pdf')
hx2.get_figure().savefig('hmcnp5_hx2.pdf')
hy1.get_figure().savefig('hmcnp5_hy1.pdf')
hy2.get_figure().savefig('hmcnp5_hy2.pdf')
else:
from pirs.tools import load
mi.gm = load('m5_.dump')['gm']
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# PIRS-2 is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>.
from pirs.tools import load
from pirs.tools.plots import colormap
dmp = load(argv[1])
sres = dmp['scf_result']
x = -2.5
x = 1.2
x=0.
z = 1.
a = {}
a['gm'] = colormap(sres, plane={'z':z}, var='material')
a['zh'] = colormap(sres, plane={'z':z}, var='heat', filter_=lambda e: e.name == 'fuel')
a['xh'] = colormap(sres, plane={'x':x}, var='heat', filter_=lambda e: e.name == 'fuel', aspect='auto')
a['zft'] = colormap(sres, plane={'z':z}, var='temp', filter_=lambda e: e.name == 'fuel')
parser.add_argument('--dTc',
help='Discretization for Tcool, K',
type=float,
dest='dTc',
default=None)
parser.add_argument('--uxsdir',
help='Update xsdir for continue run.',
dest='uxsdir',
action='store_true')
args = parser.parse_args()
print args
if '.dump' in args.key:
# args.key is the dump file. Read it and continue calculations.
print 'loading data from {0}'.format(args.key)
dmp = load(args.key)
Ic = dmp['Ic']
s1 = dmp['s1']
Ss = dmp['Ss']
MI = dmp['MI']
SI = dmp['SI']
Keff = dmp['Keff']
Kerr = dmp['Kerr']
Krel = dmp['Krel']
dTf = dmp['dTf']
dTc = dmp['dTc']
# prefix = dmp['prefix']
prefix = args.key[0:-len(dump_suffix.format(0))]
SI.wp.prefix = prefix + 'scf_'
MI.wp.prefix = prefix + 'mcnp_'
on a map.
"""
# read model from dump:
dfile = argv[-1]
try:
zlevel = float(argv[-2])
zstr = argv[-2].replace('.', '_')
except ValueError:
zlevel = 0.
zstr = '0'
print 'Color map will be plotted for height {}'.format(zlevel)
if '.dump' in dfile:
print 'reading {}... '.format(dfile),
d = load(dfile)
sres = d['scf_result'] # model with last SCF results and relaxed power density
Keff = d['Keff'][-1]
Kerr = d['Kerr'][-1]
Ic = d['Ic']
print 'ok.'
else:
# produce simple SCF result:
dfile = 'plot_simple'
from a_scf import si as SI
sres = SI.run('R')
# read data from the model:
fxyr = [] # fuel positions and radii
ftemp = [] # fuel temperature
the benchmark.
"""
import sys
from pirs.tools import load
def _get(d, key):
v = d.get(key, None)
if v is None:
v = []
d[key] = v
return v
for dname in sys.argv[1:]:
dmp = load(dname)
SI = dmp['SI']
Wtot = SI.find('total_power')[0].value
m = SI.gm
# collect data by i, j
data = {}
Imin, Imax = None, None
Jmin, Jmax = None, None
Sh = 0.
for e in m.children:
i, j, k = e.ijk
ij = (i, j)
if Imin is None or Imin > i:
Imin = i
plt.add_line(2, 2, '', 'temp', 0, fmt='.g',
label='$T_T$') # results for rod (1,35)
plt.add_line(3, 3, '', 'temp', 0, sharey=2, fmt='.g',
label='$T_T$') # results for rod (51,35)
# for alex results
plt.add_line(0, 4, '', 'temp', 0, fmt='.b',
label='$T_I$') # results for rod (1,1)
plt.add_line(1, 5, '', 'temp', 0, fmt='.b',
label='$T_I$') # results for rod (51,1)
plt.add_line(2, 6, '', 'temp', 0, fmt='.b',
label='$T_I$') # results for rod (1,35)
plt.add_line(3, 7, '', 'temp', 0, fmt='.b',
label='$T_I$') # results for rod (51,35)
# get my results:
d = load('n_iteration_017.dump')
sres = d['scf_result']
print 'dump read'
apins = {}
for c in sres.children.values():
index = -1
if c.ijk == (1 - 2, 1 - 2, 0):
index = 0
elif c.ijk == (51 - 2, 1 - 2, 0):
index = 1
elif c.ijk == (1 - 2, 35 - 2, 0):
index = 2
elif c.ijk == (51 - 2, 35 - 2, 0):
index = 3
if index in [0, 1, 2, 3]:
for cc in c.values():
kTf.ylabel[0] = '$\Delta T_f^{max}$'
kal = MeshPlotter()
kal.figsize=(8,4)
kal.add_line(0, 0, (), 'temp', 0, fmt='.k', label=r'$\alpha$')
kal.ylabel[0] = r'$\alpha$'
dt = []
x = []
dh = []
dhr = []
herr = []
Ss = []
for i in range(1, 56):
print 'processing dump ' , i
dmp = load('results/b_iteration_{0:03d}.dump'.format(i))
sr = dmp['scf_result']
mr = dmp['mcnp_result']
ss = dmp['Ss']
Ss.append(ss)
dtmax = -1
dhmax = -1
for (se, me) in zip(sr.heats(), mr.heats()):
dtl = (se.temp - me.temp).values()
dhl = (se.heat - me.heat).values()
for d, v in zip(dtl, se.temp.values()):
d = abs(d/v)
if d > dtmax:
dtmax = d
for d, v in zip(dhl, se.heat.values()):
h = abs(d.nominal_value / v.nominal_value)
fc = lambda e: e.name == -1
tprev = None
sprev = None
if __name__ == '__main__':
print '{0:>3s} {1:>9s} {2:>17s} {3:>9s} {4:>7s} {5:>10s}'.format(
'I', 'Alpha', 'Keff', 'dHmax', 'Nh', 'Ntot'),
print '{0:12s}'.format('Krlx'),
print '{0:36s}'.format('relaxed_heat'),
print '{0:36s}'.format('relaxed_Tf'),
print '{0:36s}'.format('relaxed_Tc'),
print '{0:36s}'.format('relaxed_Rho_c')
first_dump = True
for dfile in sys.argv[1:]:
dmp = load(dfile)
SI = dmp['SI']
MI = dmp['MI']
Keff = dmp['Keff']
Kerr = dmp['Kerr']
Krel = dmp['Krel']
tstamp = dmp['_timestamp']
a = dmp['a']
t = datetime.strptime(tstamp, '%Y-%m-%d %H:%M:%S')
s_m = SI.gm
m_m = MI.gm
if first_dump:
f1k = None
c1k = None
aspect='auto') # , filter_=fltr
ty1 = colormap(si.gm, plane={'y': -0.63}, var='temp',
aspect='auto') # , filter_=fltr
ty2 = colormap(si.gm, plane={'y': 0.63}, var='temp',
aspect='auto') # , filter_=fltr
tz.get_figure().savefig('hscf3_tz.pdf') #
tx1.get_figure().savefig('hscf3_tx1.pdf') #
tx2.get_figure().savefig('hscf3_tx2.pdf') #
ty1.get_figure().savefig('hscf3_ty1.pdf') #
ty2.get_figure().savefig('hscf3_ty2.pdf') #
#
fltr = lambda e: e.name == -1 #
dz = colormap(si.gm, plane={'z': 1}, var='dens',
aspect='auto') # , filter_=fltr
dx1 = colormap(si.gm, plane={'x': -0.63}, var='dens',
aspect='auto') # , filter_=fltr
dx2 = colormap(si.gm, plane={'x': 0.63}, var='dens',
aspect='auto') # , filter_=fltr
dy1 = colormap(si.gm, plane={'y': -0.63}, var='dens',
aspect='auto') # , filter_=fltr
dy2 = colormap(si.gm, plane={'y': 0.63}, var='dens',
aspect='auto') # , filter_=fltr
dz.get_figure().savefig('hscf3_dz.pdf')
dx1.get_figure().savefig('hscf3_dx1.pdf')
dx2.get_figure().savefig('hscf3_dx2.pdf')
dy1.get_figure().savefig('hscf3_dy1.pdf')
dy2.get_figure().savefig('hscf3_dy2.pdf')
else:
from pirs.tools import load
si.gm = load('s3_.dump')['gm']