Source code for pyNastran.op2.tables.oes_stressStrain.real.oes_gap

from itertools import count
from typing import List

import numpy as np
from numpy import zeros, searchsorted, ravel

from pyNastran.utils.numpy_utils import integer_types
from pyNastran.op2.result_objects.op2_objects import get_times_dtype
from pyNastran.op2.tables.oes_stressStrain.real.oes_objects import OES_Object
from pyNastran.f06.f06_formatting import write_floats_13e, _eigenvalue_header


[docs]class NonlinearGapStressArray(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 @property def is_real(self) -> bool: return True @property def is_complex(self) -> bool: return False @property def is_stress(self) -> bool: return True @property def nnodes_per_element(self) -> int: return 1 def _reset_indices(self) -> None: self.itotal = 0 self.ielement = 0 def _get_msgs(self): msgs = [ ' S T R E S S E S ( F O R C E S ) I N G A P E L E M E N T S ( C G A P )' ' ' ' ELEMENT - F O R C E S I N E L E M S Y S T - - D I S P L A C E M E N T S I N E L E M S Y S T -' ' ID COMP-X SHEAR-Y SHEAR-Z AXIAL-U TOTAL-V TOTAL-W SLIP-V SLIP-W STATUS' #' 3801 3.71080E+05 0.0 0.0 2.37879E-01 9.51516E-01 -5.55112E-17 9.51516E-01 -5.55112E-17 SLIDE ' ] return msgs
[docs] def get_headers(self) -> List[str]: headers = ['compX', 'shearY', 'shearZ', 'axialU', 'shearV', 'shearW', 'slipV', 'slipW'] return headers
[docs] def build(self): """sizes the vectorized attributes of the NonlinearGapStressArray""" #print("self.ielement =", 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 #if self.element_type == None?: #nnodes_per_element = 1 #else: #raise NotImplementedError(self.element_type) 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=dtype) element = zeros(self.ntotal, dtype=idtype) # [comp_x, shear_y, shear_z, axial_u, shear_v, shear_w, slip_v, slip_w] data = zeros((self.ntimes, self.ntotal, 8), 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 0.025 0.050 #ElementID Item #899 compX 0.537281 0.851454 # shearY 0.000000 0.000000 # shearZ 0.000000 0.000000 # axialU 0.000005 0.000009 # shearV 0.000000 0.000000 # shearW 0.000000 0.000000 # slipV 0.000000 0.000000 # slipW 0.000000 0.000000 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: 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 def add_sort1(self, dt, eid, comp_xi, shear_yi, shear_zi, axial_ui, shear_vi, shear_wi, slip_vi, slip_wi, form1, form2): """unvectorized method for adding SORT1 transient data""" assert isinstance(eid, integer_types) and eid > 0, 'dt=%s eid=%s' % (dt, eid) self._times[self.itime] = dt self.element[self.itotal] = eid self.data[self.itime, self.itotal, :] = [comp_xi, shear_yi, shear_zi, axial_ui, shear_vi, shear_wi, slip_vi, slip_wi] self.itotal += 1 self.ielement += 1
[docs] def get_stats(self, short: bool=False) -> List[str]: if not self.is_built: return [ '<%s>\n' % self.__class__.__name__, f' ntimes: {self.ntimes:d}\n', f' ntotal: {self.ntotal:d}\n', ] nelements = self.ntotal ntimes = self.ntimes #ntotal = self.ntotal nelements = self.ntotal 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' 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' 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 = searchsorted(eids, self.element) #[0] return itot
[docs] def eid_to_element_node_index(self, eids): ind = ravel([searchsorted(self.element == eid) for eid in eids]) return ind
[docs] def write_f06(self, f06_file, header=None, page_stamp='PAGE %s', page_num=1, is_mag_phase=False, is_sort1=True): if header is None: header = [] msg = self._get_msgs() (ntimes, ntotal) = self.data.shape[:2] 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)) #comp_x, shear_y, shear_z, axial_u, shear_v, shear_w, slip_v, slip_w comp_x = self.data[itime, :, 0] shear_y = self.data[itime, :, 1] shear_z = self.data[itime, :, 2] axial_u = self.data[itime, :, 3] shear_v = self.data[itime, :, 4] shear_w = self.data[itime, :, 5] slip_v = self.data[itime, :, 6] slip_w = self.data[itime, :, 7] for (i, eid, comp_xi, shear_yi, shear_zi, axial_ui, shear_vi, shear_wi, slip_vi, slip_wi) in zip( count(), eids, comp_x, shear_y, shear_z, axial_u, shear_v, shear_w, slip_v, slip_w): vals = [comp_xi, shear_yi, shear_zi, axial_ui, shear_vi, shear_wi, slip_vi, slip_wi] vals2 = write_floats_13e(vals) [comp_xi, shear_yi, shear_zi, axial_ui, shear_vi, shear_wi, slip_vi, slip_wi] = vals2 f06_file.write( '0%8i %-13s %-13s %-13s %-13s %-13s %-13s %-13s %s\n' % (eid, comp_xi, shear_yi, shear_zi, axial_ui, shear_vi, shear_wi, slip_vi, slip_wi)) f06_file.write(page_stamp % page_num) page_num += 1 if self.nonlinear_factor in (None, np.nan): page_num -= 1 return page_num