from itertools import count
from typing import TextIO
import numpy as np
from numpy import zeros
from pyNastran.utils.numpy_utils import integer_types, float_types
from pyNastran.op2.result_objects.op2_objects import get_times_dtype, get_sort_element_sizes
from pyNastran.op2.tables.oes_stressStrain.real.oes_objects import (
StressObject, StrainObject, OES_Object,
oes_real_data_code, set_static_case, set_modal_case,
set_transient_case, set_post_buckling_case, set_element_case)
from pyNastran.f06.f06_formatting import write_float_13e, write_float_13e_long, _eigenvalue_header
from pyNastran.op2.op2_interface.write_utils import set_table3_field, view_dtype, view_idtype_as_fdtype
ELEMENT_NAME_TO_ELEMENT_TYPE = {
'CELAS1': 11,
'CELAS2': 12,
'CELAS3': 13,
'CELAS4': 14,
}
[docs]
class RealSpringArray(OES_Object):
def __init__(self, data_code, is_sort1, isubcase, dt):
OES_Object.__init__(self, data_code, isubcase, apply_data_code=False)
self.nelements = 0 # result specific
self.itime = 0
self.itotal = 0
self.ielement = 0
self.element = None
@classmethod
def _add_case(cls,
table_name, element_name, isubcase,
is_sort1, is_random, is_msc,
random_code, title, subtitle, label):
num_wide = 2
is_strain = 'Strain' in cls.__name__
data_code = oes_real_data_code(table_name,
element_name, num_wide,
is_sort1=is_sort1, is_random=is_random,
random_code=random_code,
title=title, subtitle=subtitle, label=label,
is_msc=is_msc)
# I'm only sure about the 1s in the strains and the
# corresponding 0s in the stresses.
if is_strain:
stress_bits = [0, 1, 0, 1]
s_code = 1
else:
stress_bits = [0, 0, 0, 0]
s_code = 0
data_code['stress_bits'] = stress_bits
data_code['s_code'] = s_code
#data_code['num_wide'] = 2
element_type = ELEMENT_NAME_TO_ELEMENT_TYPE[element_name]
data_code['element_name'] = element_name
data_code['element_type'] = element_type
return data_code
[docs]
@classmethod
def add_static_case(cls, table_name, element_name, element, data, isubcase,
is_sort1=True, is_random=False, is_msc=True,
random_code=0, title='', subtitle='', label=''):
data_code = cls._add_case(
table_name, element_name,
isubcase, is_sort1, is_random, is_msc,
random_code, title, subtitle, label)
obj = set_static_case(cls, is_sort1, isubcase, data_code,
set_element_case, (element, data))
return obj
[docs]
@classmethod
def add_modal_case(cls, table_name, element_name: str, element, data, isubcase,
modes, eigns, cycles,
is_sort1=True, is_random=False, is_msc=True,
random_code=0, title='', subtitle='', label=''):
data_code = cls._add_case(
table_name, element_name,
isubcase, is_sort1, is_random, is_msc,
random_code, title, subtitle, label)
obj = set_modal_case(cls, is_sort1, isubcase, data_code,
set_element_case, (element, data),
modes, eigns, cycles)
return obj
[docs]
@classmethod
def add_transient_case(cls, table_name, element_name, element, data, isubcase,
times,
is_sort1=True, is_random=False, is_msc=True,
random_code=0, title='', subtitle='', label=''):
data_code = cls._add_case(
table_name, element_name,
isubcase, is_sort1, is_random, is_msc,
random_code, title, subtitle, label)
obj = set_transient_case(cls, is_sort1, isubcase, data_code,
set_element_case, (element, data),
times)
return obj
[docs]
@classmethod
def add_post_buckling_case(cls, table_name, element_name, element, data, isubcase,
modes, eigrs, eigis,
is_sort1=True, is_random=False, is_msc=True,
random_code=0, title='', subtitle='', label=''):
data_code = cls._add_case(
table_name, element_name,
isubcase, is_sort1, is_random, is_msc,
random_code, title, subtitle, label)
obj = set_post_buckling_case(cls, is_sort1, isubcase, data_code,
set_element_case, (element, data),
modes, eigrs, eigis)
return obj
@property
def is_real(self) -> bool:
return True
@property
def is_complex(self) -> bool:
return False
@property
def nnodes_per_element(self) -> int:
return 1
def _reset_indices(self) -> None:
self.itotal = 0
self.ielement = 0
#def __mul__(self, factor):
#"""in-place multiplication"""
#assert isinstance(factor, float_types), 'factor=%s and must be a float' % (factor)
#self.data *= factor
#def __rmul__(self, factor):
#assert isinstance(factor, float_types), 'factor=%s and must be a float' % (factor)
#self.data *= factor
#def __sub__(self, factor):
#if isinstance(factor, float_types):
#self.data -= factor
#else:
## TODO: should support arrays
#raise TypeError('factor=%s and must be a float' % (factor))
#def __add__(self, factor):
#"""[C] = [A] + b"""
#if isinstance(factor, float_types):
#self.data += factor
#else:
## TODO: should support arrays
#raise TypeError('factor=%s and must be a float' % (factor))
#def __radd__(self, factor):
#"""[C] = b + [A]"""
#return self.__add__(factor)
[docs]
def update_data_components(self):
pass
def __iadd__(self, factor):
"""[A] += b"""
if isinstance(factor, float_types):
self.data += factor
else:
# TODO: should support arrays
raise TypeError('factor=%s and must be a float' % (factor))
self.update_data_components()
def __isub__(self, factor):
"""[A] -= b"""
if isinstance(factor, float_types):
self.data -= factor
else:
# TODO: should support arrays
raise TypeError('factor=%s and must be a float' % (factor))
self.update_data_components()
def __imul__(self, factor):
"""[A] *= b"""
assert isinstance(factor, float_types), 'factor=%s and must be a float' % (factor)
self.data *= factor
self.update_data_components()
def __idiv__(self, factor):
"""[A] *= b"""
assert isinstance(factor, float_types), 'factor=%s and must be a float' % (factor)
self.data *= 1. / factor
self.update_data_components()
#def linear_combination(a, coeffs):
#import numexpr as ne
#local_vars = locals()
#letters = [
#'a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i', 'j', 'k', 'l', 'm',
#'n', 'o', 'p', 'q', 'r', 's', 't', 'u', 'v', 'w', 'x', 'y', 'z']
#expr = ''
#for ai, coeff, letter in zip(a, coeffs, letters):
#expr += '%s*%s' % (coeff, letter)
#local_vars[letter] = ai.data
#c = ne.evaluate(expr)
#return c
[docs]
def build(self):
"""sizes the vectorized attributes of the RealSpringArray"""
#print('ntimes=%s nelements=%s ntotal=%s' % (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 = []
self.nelements //= self.ntimes
self.itime = 0
self.ielement = 0
self.itotal = 0
#self.ntimes = 0
#self.nelements = 0
#print("ntimes=%s nelements=%s ntotal=%s" % (self.ntimes, self.nelements, self.ntotal))
ntimes, nelements, unused_ntotal = get_sort_element_sizes(self)
dtype, unused_idtype, unused_fdtype = get_times_dtype(
self.nonlinear_factor, self.size, self.analysis_fmt)
self.build_data(ntimes, nelements, dtype)
[docs]
def build_data(self, ntimes, nelements, dtype):
"""actually performs the build step"""
self.ntimes = ntimes
self.nelements = nelements
_times = zeros(ntimes, dtype=self.analysis_fmt)
dtype, idtype, fdtype = get_times_dtype(
self.nonlinear_factor, self.size, self.analysis_fmt)
element = zeros(nelements, dtype=idtype)
#[stress]
data = zeros((ntimes, nelements, 1), 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
v 0.24
Static 0
ElementID Item
30 spring_stress 0.0
31 spring_stress 0.0
32 spring_stress 0.0
33 spring_stress 0.0
v 0.25 for test_bdf_op2_elements_01
Static ElementID spring_stress
0 30 0.0
1 31 0.0
2 32 0.0
3 33 0.0
...
"""
import pandas as pd
headers = self.get_headers()
if self.nonlinear_factor not in (None, np.nan):
# Mode 1 2 3
# Freq 1.482246e-10 3.353940e-09 1.482246e-10
# Eigenvalue -8.673617e-19 4.440892e-16 8.673617e-19
# Radians 9.313226e-10 2.107342e-08 9.313226e-10
# ElementID Item
# 30 spring_stress 0.0 -0.0 -0.0
# 31 spring_stress 0.0 -0.0 -0.0
# 32 spring_stress 0.0 0.0 0.0
# 33 spring_stress 0.0 0.0 0.0
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:
#Static spring_stress
#ElementID
#30 0.0
#31 0.0
#32 0.0
#33 0.0
data_frame = pd.DataFrame(self.data[0], columns=headers, index=self.element)
data_frame.index.name = 'ElementID'
data_frame.columns.names = ['Static']
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, :]
(force1, stress1) = t1
(force2, stress2) = t2
if not np.allclose(t1, t2):
#if not np.array_equal(t1, t2):
msg += '%s\n (%s, %s)\n (%s, %s)\n' % (
eid,
force1, stress1,
force2, 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
def add_sort1(self, dt, eid, stress):
assert self.sort_method == 1, self
self._times[self.itime] = dt
#if self.itime == 0:
#print('itime=%s eid=%s' % (self.itime, eid))
self.element[self.ielement] = eid
self.data[self.itime, self.ielement, :] = [stress]
self.ielement += 1
def add_sort2(self, dt, eid, stress):
assert self.is_sort2, self
itime = self.itotal
self._times[itime] = dt
#if self.itime == 0:
#print('itime=%s eid=%s' % (self.itime, eid))
self.element[self.ielement] = eid
self.data[itime, self.ielement, :] = [stress]
self.itotal += 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',
]
#print(self.data.shape[:1])
#ntimes, nelements = self.data.shape[:1]
ntimes = self.data.shape[0]
nelements = self.data.shape[1]
assert self.ntimes == ntimes, 'ntimes=%s expected=%s' % (self.ntimes, ntimes)
assert self.nelements == nelements, 'nelements=%s expected=%s' % (self.nelements, nelements)
msg = []
if self.nonlinear_factor not in (None, np.nan): # transient
msg.append(' type=%s ntimes=%i nelements=%i\n'
% (self.__class__.__name__, ntimes, nelements))
ntimes_word = 'ntimes'
else:
msg.append(' type=%s nelements=%i\n'
% (self.__class__.__name__, nelements))
ntimes_word = '1'
msg.append(' eType\n')
headers = self.get_headers()
n = len(headers)
msg.append(' data: [%s, nelements, %i] where %i=[%s]\n' % (ntimes_word, n, n, str(', '.join(headers))))
msg.append(f' element.shape = {self.element.shape}\n')
msg.append(f' data.shape = {self.data.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 = np.searchsorted(eids, self.element) #[0]
return itot
[docs]
def eid_to_element_node_index(self, eids):
#ind = ravel([searchsorted(self.element_node[:, 0] == eid) for eid in eids])
ind = np.searchsorted(eids, self.element)
#ind = ind.reshape(ind.size)
#ind.sort()
return ind
[docs]
def write_csv(self, csv_file: TextIO,
is_exponent_format: bool=False,
is_mag_phase: bool=False, is_sort1: bool=True,
write_header: bool=True):
"""
Stress Table - CROD/CONROD/CTUBE
--------------------------------
Flag, SubcaseID, iTime, EID, BLANK, BLANK, Sxx, Syy, Szz, Sxy, Syz, Szx
10, 1, 0, 312, 0, 0, 1642.503, 0, 0, 167.541, 0, 0
10, 1, 0, 313, 0, 0, 3937.541, 0, 0, 66.171, 0, 0
"""
name = str(self.__class__.__name__)
if write_header:
csv_file.write('# %s\n' % name)
headers = ['Flag', 'SubcaseID', 'iTime', 'Eid', 'BLANK', 'BLANK', 'Sxx', 'Syy', 'Szz', 'Sxy', 'Syz', 'Sxz']
csv_file.write('# ' + ','.join(headers) + '\n')
# stress vs. strain
flag = 10 if 'Stress' in name else 11
isubcase = self.isubcase
#times = self._times
# write the f06
ntimes = self.data.shape[0]
zero = ' 0.000000E+00'
eids = self.element
eid_len = '%d' % len(str(eids.max()))
for itime in range(ntimes):
#dt = self._times[itime]
stress = self.data[itime, :, 0]
for eid, stressi in zip(eids, stress):
if is_exponent_format:
stressi = write_float_13e_long(stressi)
csv_file.write(f'{flag}, {isubcase}, {itime}, {eid:{eid_len}d}, 0, 0, '
f'{stressi}, {zero}, {zero}, {zero}, {zero}, {zero}\n')
return
[docs]
def write_f06(self, f06_file: TextIO, 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_temp = self.get_f06_header(is_mag_phase)
if self.is_sort1:
page_num = self._write_sort1_as_sort1(header, page_stamp, page_num, f06_file, msg_temp)
else:
raise NotImplementedError(self.code_information())
#page_num = self._write_sort2_as_sort2(header, page_stamp, page_num, f06_file, msg_temp)
return page_num
def _write_sort1_as_sort1(self, header, page_stamp, page_num, f06_file, msg_temp):
ntimes = self.data.shape[0]
eids = self.element
nwrite = len(eids)
nrows = nwrite // 4
nleftover = nwrite - nrows * 4
for itime in range(ntimes):
dt = self._times[itime]
header = _eigenvalue_header(self, header, itime, ntimes, dt)
f06_file.write(''.join(header + msg_temp))
stress = self.data[itime, :, 0]
out = []
for eid, stressi in zip(eids, stress):
out.append([eid, write_float_13e(stressi)])
for i in range(0, nrows * 4, 4):
f06_file.write(' %10i %13s %10i %13s %10i %13s %10i %13s\n' % (
tuple(out[i] + out[i + 1] + out[i + 2] + out[i + 3])))
i = nrows * 4
if nleftover == 3:
f06_file.write(' %10i %13s %10i %13s %10i %13s\n' % (
tuple(out[i] + out[i + 1] + out[i + 2])))
elif nleftover == 2:
f06_file.write(' %10i %13s %10i %13s\n' % (
tuple(out[i] + out[i + 1])))
elif nleftover == 1:
f06_file.write(' %10i %13s\n' % tuple(out[i]))
f06_file.write(page_stamp % page_num)
page_num += 1
return page_num - 1
[docs]
def write_op2(self, op2_file, op2_ascii, itable, new_result,
date, is_mag_phase=False, endian='>'):
"""writes an OP2"""
import inspect
from struct import pack
frame = inspect.currentframe()
call_frame = inspect.getouterframes(frame, 2)
op2_ascii.write(f'{self.__class__.__name__}.write_op2: {call_frame[1][3]}\n')
if itable == -1:
self._write_table_header(op2_file, op2_ascii, date)
itable = -3
#eids = self.element
# table 4 info
#ntimes = self.data.shape[0]
#nnodes = self.data.shape[1]
nelements = self.data.shape[1]
# 21 = 1 node, 3 principal, 6 components, 9 vectors, 2 p/ovm
#ntotal = ((nnodes * 21) + 1) + (nelements * 4)
ntotali = self.num_wide
ntotal = ntotali * nelements
#print('shape = %s' % str(self.data.shape))
#assert self.ntimes == 1, self.ntimes
#device_code = self.device_code
op2_ascii.write(f' ntimes = {self.ntimes}\n')
eids_device = self.element * 10 + self.device_code
#print('ntotal=%s' % (ntotal))
#assert ntotal == 193, ntotal
if not self.is_sort1:
raise NotImplementedError('SORT2')
#struct1 = Struct(endian + b'if')
fdtype = self.data.dtype
if self.size == fdtype.itemsize:
pass
else:
print(f'downcasting {self.class_name}...')
#idtype = np.int32(1)
fdtype = np.float32(1.0)
# [eid, stress]
data_out = np.empty((nelements, 2), dtype=fdtype)
data_out[:, 0] = view_idtype_as_fdtype(eids_device, fdtype)
op2_ascii.write('%s-nelements=%i\n' % (self.element_name, nelements))
for itime in range(self.ntimes):
self._write_table_3(op2_file, op2_ascii, new_result, itable, itime)
# record 4
itable -= 1
header = [4, itable, 4,
4, 1, 4,
4, 0, 4,
4, ntotal, 4,
4 * ntotal]
op2_file.write(pack('%ii' % len(header), *header))
op2_ascii.write('r4 [4, 0, 4]\n')
op2_ascii.write(f'r4 [4, {itable:d}, 4]\n')
op2_ascii.write(f'r4 [4, {4 * ntotal:d}, 4]\n')
# [eid, stress]
data_out[:, 1] = self.data[itime, :, 0]
op2_file.write(data_out)
itable -= 1
header = [4 * ntotal,]
op2_file.write(pack('i', *header))
op2_ascii.write('footer = %s\n' % header)
new_result = False
return itable
[docs]
class RealSpringStressArray(RealSpringArray, StressObject):
def __init__(self, data_code, is_sort1, isubcase, dt):
RealSpringArray.__init__(self, data_code, is_sort1, isubcase, dt)
StressObject.__init__(self, data_code, isubcase)
[docs]
class RealSpringStrainArray(RealSpringArray, StrainObject):
def __init__(self, data_code, is_sort1, isubcase, dt):
RealSpringArray.__init__(self, data_code, is_sort1, isubcase, dt)
StrainObject.__init__(self, data_code, isubcase)
[docs]
class RealNonlinearSpringStressArray(OES_Object):
"""
::
#ELEMENT-ID = 102
#N O N L I N E A R S T R E S S E S I N R O D E L E M E N T S ( C R O D )
#TIME AXIAL STRESS EQUIVALENT TOTAL STRAIN EFF. STRAIN EFF. CREEP LIN. TORSIONAL
#STRESS PLASTIC/NLELAST STRAIN STRESS
#2.000E-02 1.941367E+01 1.941367E+01 1.941367E-04 0.0 0.0 0.0
#3.000E-02 1.941367E+01 1.941367E+01 1.941367E-04 0.0 0.0 0.0
"""
def __init__(self, data_code, is_sort1, isubcase, dt):
OES_Object.__init__(self, data_code, isubcase, apply_data_code=True)
#self.code = [self.format_code, self.sort_code, self.s_code]
self.nelements = 0 # result specific
self.itime = 0
self.itotal = 0
self.ielement = 0
self.element = None
if is_sort1:
pass
else:
raise NotImplementedError('SORT2')
@property
def is_real(self) -> bool:
return True
@property
def is_complex(self) -> bool:
return False
@property
def is_stress(self):
return True
def _reset_indices(self) -> None:
self.itotal = 0
self.ielement = 0
def _get_msgs(self):
raise NotImplementedError()
[docs]
def build(self):
"""sizes the vectorized attributes of the RealNonlinearSpringStressArray"""
#print('ntimes=%s nelements=%s ntotal=%s' % (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 = []
self.nelements //= self.ntimes
self.itime = 0
self.ielement = 0
self.itotal = 0
#self.ntimes = 0
#self.nelements = 0
#print("ntimes=%s nelements=%s ntotal=%s" % (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.nelements, dtype=idtype)
#[force, stress]
data = zeros((self.ntimes, self.nelements, 2), 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
def __eq__(self, table): # pragma: no cover
self._eq_header(table)
assert self.is_sort1 == table.is_sort1
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, :]
(force1, stress1) = t1
(force2, stress2) = t2
if not np.allclose(t1, t2):
#if not np.array_equal(t1, t2):
msg += '%s\n (%s, %s)\n (%s, %s)\n' % (
eid,
force1, stress1,
force2, 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
def add_sort1(self, dt, eid, force, stress):
"""unvectorized method for adding SORT1 transient data"""
assert self.sort_method == 1, self
assert isinstance(eid, integer_types) and eid > 0, 'dt=%s eid=%s' % (dt, eid)
self._times[self.itime] = dt
self.element[self.ielement] = eid
self.data[self.itime, self.ielement, :] = [force, stress]
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',
]
ntimes, nelements, _ = self.data.shape
assert self.ntimes == ntimes, 'ntimes=%s expected=%s' % (self.ntimes, ntimes)
assert self.nelements == nelements, 'nelements=%s expected=%s' % (self.nelements, nelements)
msg = []
if self.nonlinear_factor not in (None, np.nan): # transient
msg.append(' type=%s ntimes=%i nelements=%i\n'
% (self.__class__.__name__, ntimes, nelements))
ntimes_word = 'ntimes'
else:
msg.append(' type=%s nelements=%i\n'
% (self.__class__.__name__, nelements))
ntimes_word = '1'
msg.append(' eType\n')
headers = self.get_headers()
n = len(headers)
msg.append(' data: [%s, nelements, %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 type: {self.element_name}-{self.element_type}\n')
msg += self.get_data_code()
return msg
[docs]
def write_f06(self, f06_file, header=None, page_stamp='PAGE %s',
page_num: int=1, is_mag_phase: bool=False, is_sort1: bool=True):
if header is None:
header = []
if self.is_sort1:
if self.element_type == 224:
nspring = 1 # CELAS1
elif self.element_type == 225:
nspring = 3 # CELAS3
else:
raise NotImplementedError('type=%s name=%s' % (self.element_type, self.element_name))
msg = [
' N O N L I N E A R F O R C E S A N D S T R E S S E S I N S C A L A R S P R I N G S ( C E L A S %i )\n'
' \n'
' ELEMENT-ID FORCE STRESS ELEMENT-ID FORCE STRESS\n' % nspring
#' 5.000000E-02 2.000000E+01 1.000000E+01 1.000000E-01 4.000000E+01 2.000000E+01'
]
page_num = self._write_sort1_as_sort1(header, page_stamp, page_num, f06_file, msg)
else:
msg = [
' N O N L I N E A R F O R C E S A N D S T R E S S E S I N S C A L A R S P R I N G S ( C E L A S %i )\n'
' \n'
' STEP FORCE STRESS STEP FORCE STRESS\n' % nspring
#' 5.000000E-02 2.000000E+01 1.000000E+01 1.000000E-01 4.000000E+01 2.000000E+01'
]
raise NotImplementedError('RealNonlinearSpringStressArray-sort2')
return page_num
def _write_sort1_as_sort1(self, header, page_stamp, page_num, f06_file, msg_temp):
"""
::
ELEMENT-ID = 20
N O N L I N E A R F O R C E S A N D S T R E S S E S I N S C A L A R S P R I N G S ( C E L A S 1 )
STEP FORCE STRESS STEP FORCE STRESS
5.000000E-02 2.000000E+01 1.000000E+01 1.000000E-01 4.000000E+01 2.000000E+01
1.500000E-01 6.000000E+01 3.000000E+01 2.000000E-01 8.000000E+01 4.000000E+01
"""
ntimes = self.data.shape[0]
eids = self.element
neids = len(eids)
is_odd = neids % 2 == 1
if is_odd:
neids -= 1
for itime in range(ntimes):
dt = self._times[itime]
header = _eigenvalue_header(self, header, itime, ntimes, dt)
f06_file.write(''.join(header + msg_temp))
force = self.data[itime, :, 0]
stress = self.data[itime, :, 1]
for i, eid, forcei, stressi, in zip(count(step=2), eids[:neids:2], force[:neids:2], stress[:neids:2]):
f06_file.write(
' %-13i %-13s %-13s %-13s %-13s %s\n' % (
eid,
write_float_13e(forcei),
write_float_13e(stressi),
eids[i + 1],
write_float_13e(force[i + 1]),
write_float_13e(stress[i + 1])
))
if is_odd:
f06_file.write(' %-13i %-13s %s\n' % (
eids[neids],
write_float_13e(force[neids]),
write_float_13e(stress[neids])
))
f06_file.write(page_stamp % page_num)
page_num += 1
return page_num - 1