from itertools import cycle
import numpy as np
from pyNastran.utils.numpy_utils import integer_types
from pyNastran.op2.result_objects.op2_objects import get_times_dtype
from pyNastran.op2.result_objects.utils_pandas import (
build_dataframe_transient_header, build_pandas_transient_element_node)
from pyNastran.op2.tables.oes_stressStrain.real.oes_objects import (
OES_Object, StressObject, StrainObject)
from pyNastran.f06.f06_formatting import write_floats_13e, _eigenvalue_header
[docs]
class HyperelasticQuadArray(OES_Object):
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.ntimes = 0 # or frequency/mode
#self.ntotal = 0
self.ielement = 0
self.nelements = 0 # result specific
self.nnodes = None
if is_sort1:
pass
#if dt is not None:
#self._add = self._add_sort1
#self._add_new_eid = self._add_new_eid_sort1
#self._add_new_node = self._add_new_node_sort1
else:
raise NotImplementedError('SORT2')
[docs]
def is_real(self) -> bool:
return True
[docs]
def is_complex(self) -> bool:
return False
def _reset_indices(self) -> None:
self.itotal = 0
self.ielement = 0
#def is_bilinear(self):
#if self.element_type in [33, 74]: # CQUAD4, CTRIA3
#return False
#elif self.element_type in [144, 64, 82, 70, 75]: # CQUAD4
#return True
#else:
#raise NotImplementedError(f'name={self.element_name} type={self.element_type}')
[docs]
def build(self):
"""sizes the vectorized attributes of the HyperelasticQuadArray"""
#print("self.ielement = %s" % self.ielement)
#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 = []
#if self.element_type in [33, 74]:
#nnodes_per_element = 1
#elif self.element_type == 144:
#nnodes_per_element = 5
#elif self.element_type == 64: # CQUAD8
#nnodes_per_element = 5
#elif self.element_type == 82: # CQUADR
#nnodes_per_element = 5
#elif self.element_type == 70: # CTRIAR
#nnodes_per_element = 4
#elif self.element_type == 75: # CTRIA6
#nnodes_per_element = 4
#else:
if self.element_type == 139: # QUAD4FD
nnodes_per_element = 4
else:
raise NotImplementedError('name=%r type=%s' % (self.element_name, self.element_type))
#print('nnodes_per_element[%s, %s] = %s' % (self.isubcase, self.element_type, nnodes_per_element))
#self.nnodes = nnodes_per_element
#self.nelements //= nnodes_per_element
self.nelements //= self.ntimes
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)
self._times = np.zeros(self.ntimes, dtype=self.analysis_fmt)
self.element_node = np.zeros((self.ntotal, 2), dtype=idtype)
#self.Type[eid] = Type
#self.oxx[dt] = {eid: [oxx]}
#self.oyy[dt] = {eid: [oyy]}
#self.txy[dt] = {eid: [txy]}
#self.angle[dt] = {eid: [angle]}
#self.majorP[dt] = {eid: [majorP]}
#self.minorP[dt] = {eid: [minorP]}
#[oxx, oyy, txy, angle, majorp, minorp]
self.data = np.zeros((self.ntimes, self.ntotal, 6), dtype=fdtype)
assert self.is_stress, self.code_information()
[docs]
def build_dataframe(self):
"""creates a pandas dataframe"""
import pandas as pd
headers = self.headers
nelements = self.element_node.shape[0] // 2
if self.is_fiber_distance:
fiber_distance = ['Top', 'Bottom'] * nelements
else:
fiber_distance = ['Mean', 'Curvature'] * nelements
fd = np.array(fiber_distance, dtype='unicode')
node = pd.Series(data=self.element_node[:, 1])
node.replace(to_replace=0, value='CEN', inplace=True)
if self.nonlinear_factor not in (None, np.nan):
# LoadStep 1.0
# ElementID NodeID Location Item
# 101 1 Top oxx 1.000000e+02
# 2 Bottom oyy 9.803873e+01
# 3 Top txy -8.639536e-17
# 4 Bottom angle -2.523925e-15
# 102 1 Top majorp 1.000000e+02
column_names, column_values = build_dataframe_transient_header(self)
element_node = [
self.element_node[:, 0],
node,
fd,
]
names = ['ElementID', 'NodeID', 'Location', 'Item']
data_frame = build_pandas_transient_element_node(
self, column_values, column_names,
headers, element_node, self.data,
from_tuples=False, from_array=True,
names=names)
else:
data = {
'ElementID': self.element_node[:, 0],
'NodeID': node,
'Location': fd,
}
for i, key in enumerate(headers):
data[key] = self.data[0, :, i]
# mydata = {key: len(datai) for key, datai in data.items()}
# print('mydata', mydata)
data_frame = pd.DataFrame(data)
# df2 = pd.DataFrame(self.data[0])
# df2.columns = headers
# data_frame = df1.join(df2)
data_frame = data_frame.reset_index().set_index(['ElementID', 'NodeID', 'Location'])
print(data_frame)
raise RuntimeError('finish build_dataframe')
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())
i = 0
for itime in range(self.ntimes):
for ie, e in enumerate(self.element_node):
(eid, nid) = e
t1 = self.data[itime, ie, :]
t2 = table.data[itime, ie, :]
(fiber_dist1, oxx1, oyy1, txy1, angle1, majorP1, minorP1, ovm1) = t1
(fiber_dist2, oxx2, oyy2, txy2, angle2, majorP2, minorP2, ovm2) = t2
# vm stress can be NaN for some reason...
if not np.array_equal(t1[:-1], t2[:-1]):
msg += '(%s, %s) (%s, %s, %s, %s, %s, %s, %s, %s) (%s, %s, %s, %s, %s, %s, %s, %s)\n' % (
eid, nid,
fiber_dist1, oxx1, oyy1, txy1, angle1, majorP1, minorP1, ovm1,
fiber_dist2, oxx2, oyy2, txy2, angle2, majorP2, minorP2, ovm2)
i += 1
if i > 10:
print(msg)
raise ValueError(msg)
#print(msg)
if i > 0:
raise ValueError(msg)
return True
#def _add_new_eid(self, dt, eid, node_id, fiber_dist, oxx, oyy, txy, angle, majorP, minorP, ovm):
#self._add_new_eid_sort1(dt, eid, node_id, fiber_dist, oxx, oyy, txy, angle, majorP, minorP, ovm)
def _add_new_eid_sort1(self, dt, eid, eype, node_id, oxx, oyy, txy, angle, major, minor):
assert isinstance(eid, integer_types), eid
assert isinstance(node_id, integer_types), node_id
self._times[self.itime] = dt
#assert self.itotal == 0, oxx
self.element_node[self.itotal, :] = [eid, node_id]
self.data[self.itime, self.itotal, :] = [oxx, oyy, txy, angle, major, minor]
self.itotal += 1
self.ielement += 1
#def _add_new_node(self, dt, eid, node_id, fiber_dist, oxx, oyy, txy, angle, majorP, minorP, ovm):
#assert isinstance(node_id, integer_types), node_id
#self._add_sort1(dt, eid, node_id, fiber_dist, oxx, oyy, txy, angle, majorP, minorP, ovm)
#def _add(self, dt, eid, node_id, fiber_dist, oxx, oyy, txy, angle, majorP, minorP, ovm):
#assert isinstance(node_id, integer_types), node_id
#self._add_sort1(dt, eid, node_id, fiber_dist, oxx, oyy, txy, angle, majorP, minorP, ovm)
#def _add_new_node_sort1(self, dt, eid, node_id, fiber_dist, oxx, oyy, txy, angle, majorP, minorP, ovm):
#self._add_sort1(dt, eid, node_id, fiber_dist, oxx, oyy, txy, angle, majorP, minorP, ovm)
def _add_sort1(self, dt, eid, etype, node_id, oxx, oyy, txy, angle, major, minor):
assert eid is not None, eid
assert isinstance(node_id, integer_types), node_id
self.element_node[self.itotal, :] = [eid, node_id]
self.data[self.itime, self.itotal, :] = [oxx, oyy, txy, angle, major, minor]
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',
]
nelements = self.nelements
ntimes = self.ntimes
nnodes = 4
ntotal = self.ntotal
nlayers = 2
nelements = self.ntotal // nnodes
msg = []
if self.nonlinear_factor not in (None, np.nan): # transient
msgi = ' type=%s ntimes=%i nelements=%i nnodes_per_element=%i nlayers=%i ntotal=%i\n' % (
self.__class__.__name__, ntimes, nelements, nnodes, nlayers, ntotal)
ntimes_word = 'ntimes'
else:
msgi = ' type=%s nelements=%i nnodes_per_element=%i nlayers=%i ntotal=%i\n' % (
self.__class__.__name__, nelements, nnodes, nlayers, ntotal)
ntimes_word = '1'
msg.append(msgi)
headers = self.get_headers()
n = len(headers)
msg.append(' data: [%s, ntotal, %i] where %i=[%s]\n' % (ntimes_word, n, n,
str(', '.join(headers))))
msg.append(f' element_node.shape = {self.element_node.shape}\n')
msg.append(f' data.shape={self.data.shape}\n')
msg.append(f' element type: {self.element_name}-{self.element_type}\n')
msg.append(' s_code: %s\n' % self.s_code)
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_node[:, 0]) #[0]
return itot
[docs]
def eid_to_element_node_index(self, eids):
ind = np.ravel([np.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_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 = []
#msg, nnodes, cen = _get_plate_msg(self)
if self.element_type == 139: # CQUAD4FD
etype_name = 'QUAD4FD'
else: # pragma: no cover
raise NotImplementedError(self.code_information())
if self.is_stress:
msg = [f' S T R E S S E S I N H Y P E R E L A S T I C Q U A D R I L A T E R A L E L E M E N T S ( {etype_name} )\n',
' ELEMENT GRID/ POINT ---------CAUCHY STRESSES-------- PRINCIPAL STRESSES (ZERO SHEAR)\n',
' ID GAUSS ID NORMAL-X NORMAL-Y SHEAR-XY ANGLE MAJOR MINOR\n', ]
#0 1 GAUS 1 7.318995E+00 6.367099E-01 -6.551054E+00 -31.4888 1.133173E+01 -3.376026E+00
# 2 1.097933E+01 4.149028E+00 6.278160E+00 30.7275 1.471111E+01 4.172537E-01
else: # pragma: no cover
raise NotImplementedError(self.code_information())
ntimes = self.data.shape[0]
eids = self.element_node[:, 0]
nids = self.element_node[:, 1]
for itime in range(ntimes):
dt = self._times[itime]
header = _eigenvalue_header(self, header, itime, ntimes, dt)
f06_file.write(''.join(header + msg))
#print("self.data.shape=%s itime=%s ieids=%s" % (str(self.data.shape), itime, str(ieids)))
#[oxx, oyy, txy, angle, majorp, minorp]
oxx = self.data[itime, :, 0]
oyy = self.data[itime, :, 1]
txy = self.data[itime, :, 2]
angle = self.data[itime, :, 3]
majors = self.data[itime, :, 4]
minors = self.data[itime, :, 5]
for (i, eid, nid, oxxi, oyyi, txyi, anglei, major, minor) in zip(
cycle([1, 2, 3, 4]), eids, nids, oxx, oyy, txy, angle, majors, minors):
[oxxi, oyyi, txyi, major, minor] = write_floats_13e(
[oxxi, oyyi, txyi, major, minor])
if i == 1:
gauss = 'GAUS' # TODO: update
f06_file.write(
'0%8i %8s %8i %13s %13s %13s %13s %13s %13s\n' % (
eid, gauss, 1, oxxi, oyyi, txyi, anglei, major, minor))
else:
f06_file.write(
' %8s %8s %8i %13s %13s %13s %13s %13s %13s\n' % (
'', '', i, oxxi, oyyi, txyi, anglei, major, minor))
f06_file.write(page_stamp % page_num)
page_num += 1
return page_num - 1
#def get_nnodes_bilinear(self):
#is_bilinear = False
#if self.element_type == 74:
#nnodes = 3
#elif self.element_type == 33:
#nnodes = 4
#elif self.element_type == 144:
#nnodes = 4
#is_bilinear = True
#elif self.element_type == 82: # CQUADR
#nnodes = 4
#is_bilinear = True
#elif self.element_type == 64: # CQUAD8
#nnodes = 4
#is_bilinear = True
#elif self.element_type == 75: # CTRIA6
#nnodes = 3
#is_bilinear = True
#elif self.element_type == 70: # CTRIAR
#nnodes = 3
#is_bilinear = True
#else:
#raise NotImplementedError(f'name={self.element_name} type={self.element_type}')
#return nnodes, is_bilinear
[docs]
class HyperelasticQuadStressArray(HyperelasticQuadArray, StressObject):
def __init__(self, data_code, is_sort1, isubcase, dt):
HyperelasticQuadArray.__init__(self, data_code, is_sort1, isubcase, dt)
StressObject.__init__(self, data_code, isubcase)
@property
def headers(self) -> list[str]:
return ['oxx', 'oyy', 'txy', 'angle', 'majorp', 'minorp']
[docs]
class HyperelasticQuadStrainArray(HyperelasticQuadArray, StrainObject):
def __init__(self, data_code, is_sort1, isubcase, dt):
HyperelasticQuadArray.__init__(self, data_code, is_sort1, isubcase, dt)
StrainObject.__init__(self, data_code, isubcase)
@property
def headers(self) -> list[str]:
return ['exx', 'eyy', 'exy', 'angle', 'majorp', 'minorp']