from itertools import count
import numpy as np
from numpy import zeros, searchsorted
from pyNastran.op2.result_objects.op2_objects import get_times_dtype
from pyNastran.op2.tables.oes_stressStrain.real.oes_objects import (
StressObject, StrainObject, OES_Object)
from pyNastran.f06.f06_formatting import write_floats_13e, _eigenvalue_header
[docs]
class RealBar10NodesArray(OES_Object):
def __init__(self, data_code, is_sort1, isubcase, dt):
OES_Object.__init__(self, data_code, isubcase, apply_data_code=False)
#self.code = [self.format_code, self.sort_code, self.s_code]
#self.ntimes = 0 # or frequency/mode
#self.ntotal = 0
self.ielement = 0
self.nelements = 0 # result specific
self.nnodes = None
@property
def is_real(self) -> bool:
return True
@property
def is_complex(self) -> bool:
return False
def _reset_indices(self) -> None:
self.itotal = 0
self.ielement = 0
def _get_msgs(self):
raise NotImplementedError('%s needs to implement _get_msgs' % self.__class__.__name__)
[docs]
def build(self):
"""sizes the vectorized attributes of the RealBar10NodesArray"""
#print("self.ielement =", self.ielement)
#print('RealBar10NodesArray isubcase=%s ntimes=%s nelements=%s ntotal=%s' % (
# self.isubcase, self.ntimes, self.nelements, self.ntotal))
assert self.ntimes > 0, 'ntimes=%s' % self.ntimes
assert self.nelements > 0, 'nelements=%s' % self.nelements
assert self.ntotal > 0, 'ntotal=%s' % self.ntotal
#self.names = []
if self.element_type == 100:
nnodes_per_element = 1
else:
raise NotImplementedError(self.element_type)
self.nnodes = nnodes_per_element
self.nelements //= self.ntimes
#self.ntotal = self.nelements #* 2 # for A/B
#self.nelements //= nnodes_per_element
self.itime = 0
self.ielement = 0
self.itotal = 0
#self.ntimes = 0
#self.nelements = 0
#print("***name=%s type=%s nnodes_per_element=%s ntimes=%s nelements=%s ntotal=%s" % (
#self.element_name, self.element_type, nnodes_per_element, self.ntimes, self.nelements, self.ntotal))
dtype, idtype, fdtype = get_times_dtype(self.nonlinear_factor, self.size, self.analysis_fmt)
_times = zeros(self.ntimes, dtype=self.analysis_fmt)
element = zeros(self.ntotal, dtype=idtype)
#[sd, sxc, sxd, sxe, sxf, axial, smax, smin, MS]
data = zeros((self.ntimes, self.ntotal, 9), dtype=fdtype)
if self.load_as_h5:
#for key, value in sorted(self.data_code.items()):
#print(key, value)
group = self._get_result_group()
self._times = group.create_dataset('_times', data=_times)
self.element = group.create_dataset('element', data=element)
self.data = group.create_dataset('data', data=data)
else:
self._times = _times
self.element = element
self.data = data
[docs]
def build_dataframe(self):
"""creates a pandas dataframe"""
import pandas as pd
headers = self.get_headers()
if self.nonlinear_factor not in (None, np.nan):
#Time 0.0 0.5 1.0
#ElementID Item
#11 sd 0.000000e+00 0.000000e+00 0.000000e+00
# sxc 0.000000e+00 1.000876e-01 2.200609e-01
# sxd 0.000000e+00 -1.000876e-01 -2.200609e-01
# sxe 0.000000e+00 1.000876e-01 2.200609e-01
# sxf 0.000000e+00 -1.000876e-01 -2.200609e-01
# axial 1.000000e-03 -5.566661e-05 4.833280e-05
# smax 1.000000e-03 1.000319e-01 2.201092e-01
# smin 1.000000e-03 -1.001432e-01 -2.200126e-01
# MS 1.401298e-45 1.401298e-45 1.401298e-45
# sd 5.000000e-01 5.000000e-01 5.000000e-01
column_names, column_values = self._build_dataframe_transient_header()
data_frame = self._build_pandas_transient_elements(
column_values, column_names,
headers, self.element, self.data)
else:
# >=25.0
#Static sd sxc sxd sxe sxf axial smax smin MS
#ElementID
#10 0.0 0.0 0.0 0.0 0.0 0.003300 0.003300 0.003300 1.401298e-45
#10 1.0 0.0 0.0 0.0 0.0 -0.000033 -0.000033 -0.000033 1.401298e-45
#
# <=24.2
#ElementID Item
#10 sd 0.000000e+00
#sxc 0.000000e+00
#sxd 0.000000e+00
#sxe 0.000000e+00
#sxf 0.000000e+00
#axial 3.300000e-03
#smax 3.300000e-03
#smin 3.300000e-03
#MS 1.401298e-45
#sd 1.000000e+00
#sxc 0.000000e+00
#sxd 0.000000e+00
#sxe 0.000000e+00
#sxf 0.000000e+00
#axial -3.333333e-05
#smax -3.333333e-05
#smin -3.333333e-05
#MS 1.401298e-45
data_frame = pd.DataFrame(self.data[0], columns=headers, index=self.element)
data_frame.index.name = 'ElementID'
data_frame.columns.names = ['Static']
#data_frame = pd.Panel(self.data, major_axis=self.element,
#minor_axis=headers).to_frame()
#data_frame.columns.names = ['Static']
#data_frame.index.names = ['ElementID', 'Item']
self.data_frame = data_frame
def __eq__(self, table): # pragma: no cover
assert self.is_sort1 == table.is_sort1
self._eq_header(table)
if not np.array_equal(self.data, table.data):
msg = 'table_name=%r class_name=%s\n' % (self.table_name, self.__class__.__name__)
msg += '%s\n' % str(self.code_information())
ntimes = self.data.shape[0]
i = 0
if self.is_sort1:
for itime in range(ntimes):
for ieid, eid, in enumerate(self.element):
t1 = self.data[itime, ieid, :]
t2 = table.data[itime, ieid, :]
(axial_stress1, equiv_stress1, total_strain1, effective_plastic_creep_strain1, effective_creep_strain1, linear_torsional_stress1) = t1
(axial_stress2, equiv_stress2, total_strain2, effective_plastic_creep_strain2, effective_creep_strain2, linear_torsional_stress2) = t2
if not np.allclose(t1, t2):
#if not np.array_equal(t1, t2):
msg += '%s\n (%s, %s, %s, %s, %s, %s)\n (%s, %s, %s, %s, %s, %s)\n' % (
eid,
axial_stress1, equiv_stress1, total_strain1, effective_plastic_creep_strain1, effective_creep_strain1, linear_torsional_stress1,
axial_stress2, equiv_stress2, total_strain2, effective_plastic_creep_strain2, effective_creep_strain2, linear_torsional_stress2)
i += 1
if i > 10:
print(msg)
raise ValueError(msg)
else:
raise NotImplementedError(self.is_sort2)
if i > 0:
print(msg)
raise ValueError(msg)
return True
[docs]
def add_new_eid_sort1(self, etype, dt, eid,
sd, sxc, sxd, sxe, sxf, axial, smax, smin, MS):
self._times[self.itime] = dt
#print('isubcase=%s itotal=%s ieid=%s eid=%s' % (self.isubcase, self.itotal, self.ielement, eid))
self.element[self.itotal] = eid
self.data[self.itime, self.itotal, :] = [sd, sxc, sxd, sxe, sxf, axial, smax, smin, MS]
self.itotal += 1
self.ielement += 1
[docs]
def get_stats(self, short: bool=False) -> list[str]:
if not self.is_built:
return [
f'<{self.__class__.__name__}>; table_name={self.table_name!r}\n',
f' ntimes: {self.ntimes:d}\n',
f' ntotal: {self.ntotal:d}\n',
]
nelements = self.nelements
ntimes = self.ntimes
nnodes = self.nnodes
ntotal = self.ntotal
#nlayers = 2
nelements = self.ntotal // self.nnodes # // 2
msg = []
if self.nonlinear_factor not in (None, np.nan): # transient
msg.append(' type=%s ntimes=%i nelements=%i nnodes_per_element=%i ntotal=%i\n'
% (self.__class__.__name__, ntimes, nelements, nnodes, ntotal))
ntimes_word = 'ntimes'
else:
msg.append(' type=%s nelements=%i nnodes_per_element=%i ntotal=%i\n'
% (self.__class__.__name__, nelements, nnodes, ntotal))
ntimes_word = '1'
headers = self.get_headers()
n = len(headers)
assert n == self.data.shape[2], 'nheaders=%s shape=%s' % (n, str(self.data.shape))
msg.append(' data: [%s, ntotal, %i] where %i=[%s]\n' % (ntimes_word, n, n, str(', '.join(headers))))
msg.append(f' data.shape = {self.data.shape}\n')
msg.append(f' element.shape = {self.element.shape}\n')
msg.append(f' element type: {self.element_name}-{self.element_type}\n')
msg += self.get_data_code()
return msg
[docs]
def get_element_index(self, eids):
# elements are always sorted; nodes are not
itot = searchsorted(eids, self.element_node[:, 0]) #[0]
return itot
#def eid_to_element_node_index(self, eids):
#ind = ravel([searchsorted(self.element_node[:, 0] == eid) for eid in eids])
##ind = searchsorted(eids, self.element)
##ind = ind.reshape(ind.size)
##ind.sort()
#return ind
[docs]
def write_f06(self, f06_file, header=None, page_stamp: str='PAGE %s', page_num: int=1, is_mag_phase: bool=False, is_sort1: bool=True):
if header is None:
header = []
msg = self._get_msgs()
#print('CBAR ntimes=%s ntotal=%s' % (ntimes, ntotal))
if self.is_sort1:
page_num = self._write_sort1_as_sort1(f06_file, header, page_stamp, msg, page_num)
else:
raise RuntimeError()
return page_num
def _write_sort1_as_sort1(self, f06_file, header, page_stamp, msg, page_num):
ntimes = self.data.shape[0]
eids = self.element
for itime in range(ntimes):
dt = self._times[itime]
header = _eigenvalue_header(self, header, itime, ntimes, dt)
f06_file.write(''.join(header + msg))
sd = self.data[itime, :, 0]
sxc = self.data[itime, :, 1]
sxd = self.data[itime, :, 2]
sxe = self.data[itime, :, 3]
sxf = self.data[itime, :, 4]
axial = self.data[itime, :, 5]
smax = self.data[itime, :, 6]
smin = self.data[itime, :, 7]
MS = self.data[itime, :, 8]
for (i, eid, sdi, sxci, sxdi, sxei, sxfi, axiali, smaxi, smini, MSi) in zip(
count(), eids, sd, sxc, sxd, sxe, sxf, axial, smax, smin, MS):
vals = [sdi, sxci, sxdi, sxei, sxfi, axiali, smaxi, smini, MSi]
vals2 = write_floats_13e(vals)
[sdi, sxci, sxdi, sxei, sxfi, axiali, smaxi, smini, MSi] = vals2
f06_file.write('0%8i %-13s %-13s %-13s %-13s %-13s %-13s %-13s %s %s\n'
% (eid, sdi, sxci, sxdi, sxei, sxfi, axiali, smaxi, smini, MSi))
f06_file.write(page_stamp % page_num)
page_num += 1
if self.nonlinear_factor in (None, np.nan):
page_num -= 1
return page_num
[docs]
class RealBar10NodesStressArray(RealBar10NodesArray, StressObject):
def __init__(self, data_code, is_sort1, isubcase, dt):
RealBar10NodesArray.__init__(self, data_code, is_sort1, isubcase, dt)
StressObject.__init__(self, data_code, isubcase)
def _get_msgs(self):
msg = [
' S T R E S S D I S T R I B U T I O N I N B A R E L E M E N T S ( C B A R )\n'
'0 ELEMENT STATION SXC SXD SXE SXF AXIAL S-MAX S-MIN M.S.-T\n'
' ID. (PCT) M.S.-C\n'
#' 1 0.000 4.919032E+05 -4.348710E+05 -4.348710E+05 4.919032E+05 0.0 4.919032E+05 -4.348710E+05 \n'
]
return msg
[docs]
class RealBar10NodesStrainArray(RealBar10NodesArray, StrainObject):
def __init__(self, data_code, is_sort1, isubcase, dt):
RealBar10NodesArray.__init__(self, data_code, is_sort1, isubcase, dt)
StrainObject.__init__(self, data_code, isubcase)
def _get_msgs(self):
msg = [
' S T R A I N D I S T R I B U T I O N I N B A R E L E M E N T S ( C B A R )\n'
'0 ELEMENT STATION SXC SXD SXE SXF AXIAL S-MAX S-MIN M.S.-T\n'
' ID. (PCT) M.S.-C\n'
#' 1 0.000 4.919032E+05 -4.348710E+05 -4.348710E+05 4.919032E+05 0.0 4.919032E+05 -4.348710E+05 \n'
]
return msg