def plot_forces(self, step_num=2, along_edge=False, gui=False):
import __main__
step_name = self.get_step_name(step_num)
names = []
do_norm = False
if self.study:
if self.study.calc_Pcr:
do_norm = True
Pcr = self.study.ccs[0].zload[0]
if gui:
names.append('%s_load_shortening_curve' % self.model_name)
if do_norm:
names.append('%s_load_shortening_curve_norm' % self.model_name)
else:
names.append('%s_Step_%02d_Displacement_X_Force' %
(self.model_name, step_num))
if do_norm:
names.append('%s_Step_%02d_Displacement_X_Force_norm' %
(self.model_name, step_num))
lamt = sum(self.plyts)
tmp_displ_f = []
tmp_displ_f_norm = []
fb_load = utils.find_fb_load(self.zload)
for i in range(len(self.zload)):
zload = self.zload[i]
tmp_displ_f.append((abs(self.zdisp[i]), 0.001 * zload))
if do_norm:
tmp_displ_f_norm.append((abs(self.zdisp[i] / lamt), zload / Pcr))
if len(tmp_displ_f) == 0:
print 'ERROR - plot_forces - run read_outputs first'
return
if self.impconf.ploads <> []:
text = ('perturbation load = %2.1f N, first buckling load = %2.2f kN' %
(self.impconf.ploads[0].pltotal, 0.001 * fb_load))
legendLabel = text
else:
legendLabel = self.model_name
session = __main__.session
session.XYData(name=names[0],
data=tmp_displ_f,
xValuesLabel='End-Shortening, mm',
yValuesLabel='Reaction Load, kN',
legendLabel=legendLabel)
if do_norm:
session.XYData(name=names[1],
data=tmp_displ_f_norm,
xValuesLabel='Normalized End-Shortening',
yValuesLabel='Normalized Reaction Load',
legendLabel=legendLabel)
if along_edge:
names.append('%s_Step_%02d_Force_along_loaded_edge' %
(self.model_name, step_num))
tmp = []
zload = 0
for node in self.cross_sections[-1].nodes:
if node <> None:
fz = node.fz[step_name][-1]
zload += fz
tmp.append((node.theta, 0.001 * fz))
frmlen = len(node.fz[step_name])
session.XYData(name=names[1],
data=tmp,
xValuesLabel='Circumferential position, degrees',
yValuesLabel='Reaction Load, kN',
legendLabel='%s, total force = %2.2f kN' %
(self.model_name, 0.001 * sum(self.zload)))
self.ls_curve = tmp_displ_f
if do_norm:
return tmp_displ_f, tmp_displ_f_norm
else:
return tmp_displ_f, None
def plot(self,
configure_session = False,
gui = False,
put_in_Excel = True,
open_Excel = False,
global_second = False):
import desicos.abaqus.utils as utils
import abaqus_functions
for cc in self.ccs:
cc.outputs_ok = cc.read_outputs()
laminate_t = sum(t for t in self.ccs[0].plyts)
session = __main__.session
numcharts = 4
if self.calc_Pcr == False:
calc_Pcr = False
numcharts = 2
start = 0
else:
calc_Pcr = True
pcr_kN = 0.001*self.ccs[0].zload[0]
start = 1
curves_dict = {}
limit = len(self.ccs[start].impconf.imperfections)
for i in range(limit):
imp_ref = self.ccs[start].impconf.imperfections[i]
if not any(cc.impconf.imperfections[i] for cc in self.ccs[start:]):
warn("imperfection '{0}' is zero for all ConeCyl objects, skipping...".format(
imp_ref.name))
continue
xaxis_label = imp_ref.xaxis_label
for pre in ['fb','gb']:
curve = []
curve_amp = []
for cc in self.ccs[start:]:
#
if cc.check_completed() and cc.outputs_ok:
if pre == 'fb':
b_load = utils.find_fb_load(cc.zload)
else:
b_load = max(cc.zload)
if i < len(cc.impconf.imperfections):
imp = cc.impconf.imperfections[i]
imp_xaxis = getattr(imp, imp.xaxis)
amplitude = imp.calc_amplitude()
else:
imp_xaxis = getattr(imp_ref, imp_ref.xaxis)
amplitude = 0.
#
curve.append((imp_xaxis, 0.001 * b_load))
curve_amp.append((amplitude, 0.001 * b_load))
elif not cc.outputs_ok:
warn('error in {0}.odb, skipping...'.format(
cc.model_name))
#
# sorting curves
curve.sort(key = lambda x: x[0])
curve_amp.sort(key = lambda x: x[0])
#
#
yaxis_label = 'Reaction Load, kN'
name = '{0}_imp_{1:02d}_KD_curve_{2}'.format(self.name, i, pre)
curves_dict[name] = [xaxis_label, yaxis_label, curve]
session.XYData( name = name, data = curve, xValuesLabel =
xaxis_label, yValuesLabel = yaxis_label, legendLabel
= imp_ref.name)
name = '{0}_imp_{1:02d}_KD_curve_{2}_amplitude'.format(
self.name, i, pre)
curves_dict[name] = ['Imperfection amplitude, mm',
yaxis_label, curve_amp]
session.XYData(name=name, data=curve_amp,
xValuesLabel='Imperfection amplitude, mm',
yValuesLabel=yaxis_label, legendLabel=imp_ref.name,)
if calc_Pcr:
yaxis_label = 'Knock-Down Factor (P/Pcr)'
name = '{0}_imp_{1:02d}_norm_KD_curve_{2}'.format(
self.name, i, pre)
norm_curve = np.array(curve)
norm_curve[:,1] /= pcr_kN
curves_dict[name] = [xaxis_label, yaxis_label, norm_curve]
session.XYData(name=name, data=norm_curve,
xValuesLabel=xaxis_label,
yValuesLabel=yaxis_label,
legendLabel=imp_ref.name)
name = ('{0}_imp_{1:02d}_norm_KD_curve_{2}_amplitude'.
format(self.name, i, pre))
norm_curve_amp = np.array(curve_amp)
norm_curve_amp[:,0] /= laminate_t
norm_curve_amp[:,1] /= pcr_kN
curves_dict[name] = ['Imperfection amplitude / laminate thickness',
yaxis_label,
norm_curve_amp]
session.XYData(name=name, data=norm_curve_amp,
xValuesLabel='Imperfection amplitude / laminate thickness',
yValuesLabel=yaxis_label, legendLabel=imp_ref.name)
if configure_session:
abaqus_functions.configure_session(session=session)
if put_in_Excel:
sheet_name = 'kd_curves'
keys = curves_dict.keys()
keys.sort()
book, sheet = utils.get_book_sheet(self.excel_name, sheet_name)
for i, name in enumerate(keys):
value = curves_dict[name]
xaxis_label = value[0]
yaxis_label = value[1]
curve = value[2]
sheet.write(0,0 + i*2, name)
sheet.write(1,0 + i*2, xaxis_label)
sheet.write(1,1 + i*2, yaxis_label)
for j, xy in enumerate(curve):
sheet.write(j+2,0 + i*2,xy[0])
sheet.write(j+2,1 + i*2,xy[1])
book.save(self.excel_name)
del book
if open_Excel:
self.open_excel()
self.kd_curves = curves_dict
def plot_forces(self, step_num=2, along_edge=False, gui=False):
import __main__
step_name = self.get_step_name(step_num)
names = []
do_norm = False
if self.study:
if self.study.calc_Pcr:
do_norm = True
Pcr = self.study.ccs[0].zload[0]
if gui:
names.append('%s_load_shortening_curve' % self.model_name)
if do_norm:
names.append('%s_load_shortening_curve_norm' % self.model_name)
else:
names.append('%s_Step_%02d_Displacement_X_Force' %
(self.model_name, step_num))
if do_norm:
names.append('%s_Step_%02d_Displacement_X_Force_norm' %
(self.model_name, step_num))
lamt = sum(self.plyts)
tmp_displ_f = []
tmp_displ_f_norm = []
fb_load = utils.find_fb_load(self.zload)
for i in range(len(self.zload)):
zload = self.zload[i]
tmp_displ_f.append((abs(self.zdisp[i]), 0.001 * zload))
if do_norm:
tmp_displ_f_norm.append((abs(self.zdisp[i]/lamt), zload/Pcr))
if len(tmp_displ_f) == 0:
print 'ERROR - plot_forces - run read_outputs first'
return
if self.impconf.ploads <> []:
text = ('perturbation load = %2.1f N, first buckling load = %2.2f kN' %
(self.impconf.ploads[0].pltotal, 0.001 * fb_load))
legendLabel = text
else:
legendLabel = self.model_name
session = __main__.session
session.XYData(
name = names[0],
data = tmp_displ_f,
xValuesLabel = 'End-Shortening, mm',
yValuesLabel = 'Reaction Load, kN',
legendLabel = legendLabel)
if do_norm:
session.XYData(
name = names[1],
data = tmp_displ_f_norm,
xValuesLabel = 'Normalized End-Shortening',
yValuesLabel = 'Normalized Reaction Load',
legendLabel = legendLabel)
if along_edge:
names.append(
'%s_Step_%02d_Force_along_loaded_edge'
% (self.model_name, step_num))
tmp = []
zload = 0
for node in self.cross_sections[-1].nodes:
if node <> None:
fz = node.fz[step_name][-1]
zload += fz
tmp.append((node.theta, 0.001 * fz))
frmlen = len(node.fz[step_name])
session.XYData(
name = names[1],
data = tmp,
xValuesLabel = 'Circumferential position, degrees',
yValuesLabel = 'Reaction Load, kN',
legendLabel = '%s, total force = %2.2f kN'
% (self.model_name, 0.001 * sum(self.zload)))
self.ls_curve = tmp_displ_f
if do_norm:
return tmp_displ_f, tmp_displ_f_norm
else:
return tmp_displ_f, None