ksrc = 'ksrc '
for c in f.heat.element_coords('abs'):
ksrc += ' {0} {1} {2}'.format(*c)
MI.adc[1] = ksrc
# mesh for shannon entrophy
MI.adc.append('HSRC 2 -{0} {0} 2 -{0} {0} 30 -{1} {1}'.format(b.X/2., b.Z/2.))
MI.wp.prefix = 'jnter'
# MI.wp.exe = 'mpirun ' + MI.wp.exe
Ntasks = 4
f.temp.set_values(900)
MI.run('R', tasks=Ntasks)
dump('jnter09.dump', r=MI.gm)
MI.xsdir.read(MI.xsdir.datapath + '/xsd900') # xsdir without xs for 900 K
MI.run('R', tasks=Ntasks)
dump('jnter09i.dump', r=MI.gm)
exit()
f.temp.set_values(800)
MI.run('R', tasks=Ntasks)
dump('jnter08.dump', r=MI.gm)
f.temp.set_values(1000)
MI.run('R', tasks=Ntasks)
dump('jnter10.dump', r=MI.gm)
for l1 in f:
l2 = f.next()
l3 = f.next()
key = eval(l1)
grid = eval(l2)
temp = eval(l3)
fuel = Tres.get_child(key)
fuel.temp.set_grid(grid)
fuel.temp.set_values(temp)
if len(sys.argv) > 1 and sys.argv[1] == 'dump':
dump('TFUEL_AT.dump',
scf_result=Tres,
Keff=[-1.],
Kerr=[-1.],
Ic='Anton last iteration')
# get alex results:
his = True
if his:
tecplot_file = 'TECPLOT_TFUEL.dat'
d = read_tecplot(tecplot_file)
Ires = minicore.copy_tree()
for c in Ires.children:
i, j = eval(c.local_key.split()[-1])
i += 1
j += 1
for cc in c.children:
if cc.local_key == 'fuel':
# 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']
Ic = 0 # iteration counter
# store MCNP input for initial state:
MI.gm = model
MI.run('r')
# SCF run to get initial temperature distribution
SI.gm = model
for e in SI.gm.values():
if e.name == 'fuel':
e.heat.clear()
e.heat.set_grid([1.] * Nz)
e.heat.set_values(1.0)
SI.run('R')
dump(prefix + 'init.dump', SI=SI)
# 'initial' values for Keff and std.dev. To simplify comparison
# to "previous" at the first iteration.
Keff = [1.]
Kerr = [1.]
Krel = [0.] # for relaxed Keff
dTf = 10.
dTc = 1.0
if 'ic2' in node:
Ntasks = 16
if 'mpirun' not in MI.wp.exe:
MI.wp.exe = 'mpirun ' + MI.wp.exe
elif 'hc3' in node:
mi.wp.prefix = 'cm_'
si.wp.prefix = 'cs_'
I = 0
while I < 5:
# mcnp run
mi.gm = si.gm.copy_tree()
mr = mi.run('R', tasks=3)
# relaxed power
for (em, es) in zip(mr.heats(), si.gm.heats()):
h = 0.5 * em.heat + 0.5 * es.heat
es.heat.update(h)
# scf run
si.run('R')
# store results
dump('{}_coupling.dump'.format(I), Keff=mi.keff(), mr=mr, sr=si.gm, I=I)
I += 1
dtmax = 0
dtpos = None
for (em, es) in zip(mr.heats(), si.gm.heats()):
dt = em.temp - es.temp
for v in dt.values():
v = abs(v)
if dtmax < v:
dtmax = v
dtpos = em.abspos()
print 'Iteration {}, Keff={}'.format(I, mi.keff())
print 'dTmax {} at {}'.format(dtmax, dtpos)
krel = a * keff + (1. - a) * Krel[-1]
Krel.append(krel)
# ----------------------------------------------------------------------
# TH-RUN
# ----------------------------------------------------------------------
SI.run('R')
# ----------------------------------------------------------------------
# dump iteration results
# ----------------------------------------------------------------------
MI.clear()
MI.wp.inp.string = ''
SI.clear()
SI.wp.input.string = ''
dump(prefix + 'iteration_{0:03d}.dump'.format(Ic),
dTf=dTf,
dTc=dTc,
Ic=Ic,
s1=s1,
Ss=Ss,
a=a,
MI=MI,
SI=SI,
Keff=Keff,
Kerr=Kerr,
Krel=Krel,
prefix=prefix)
gc.collect()
cld = RodMaterial()
cld.fp = 'benpwr'
cld.fd = -1
cld.ct = -1
cld.cp = 'zircaloy'
si.materials['steel'] = cld
si.materials['zirc'] = cld
if __name__ == '__main__':
si.wp.prefix = 's3_'
si.run('R')
from pirs.tools import dump
dump('s3_.dump', gm=si.gm)
from pirs.tools.plots import colormap
fltr = lambda e: e.material not in ['zirc', 'steel']
tz = colormap(si.gm, plane={'z': 1}, var='temp',
aspect='auto') # , filter_=fltr
tx1 = colormap(si.gm, plane={'x': -0.63}, var='temp',
aspect='auto') # , filter_=fltr
tx2 = colormap(si.gm, plane={'x': 0.63}, var='temp',
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') #