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

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
[docs] def get_headers(self): raise NotImplementedError()
#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] def get_headers(self) -> list[str]: headers = ['spring_stress'] return headers
[docs] def get_f06_header(self, is_mag_phase=True): if self.element_type == 11: # CELAS1 msg = [' 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 )\n'] elif self.element_type == 12: # CELAS2 msg = [' 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 2 )\n'] elif self.element_type == 13: # CELAS3 msg = [' 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 3 )\n'] elif self.element_type == 14: # CELAS4 msg = [' 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 4 )\n'] else: raise NotImplementedError('element_name=%s element_type=%s' % (self.element_name, self.element_type)) msg += [ ' ELEMENT STRESS ELEMENT STRESS ELEMENT STRESS ELEMENT STRESS\n' ' ID. ID. ID. ID.\n' ] return msg
[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] def get_headers(self) -> list[str]: headers = ['spring_strain'] return headers
[docs] def get_f06_header(self, is_mag_phase=True): if self.element_type == 11: # CELAS1 msg = [' S T R A I N S I N S C A L A R S P R I N G S ( C E L A S 1 )\n'] elif self.element_type == 12: # CELAS2 msg = [' S T R A I N S I N S C A L A R S P R I N G S ( C E L A S 2 )\n'] elif self.element_type == 13: # CELAS3 msg = [' S T R A I N S I N S C A L A R S P R I N G S ( C E L A S 3 )\n'] elif self.element_type == 14: # CELAS4 msg = [' S T R A I N S I N S C A L A R S P R I N G S ( C E L A S 4 )\n'] else: raise NotImplementedError('element_name=%s element_type=%s' % (self.element_name, self.element_type)) msg += [ ' ELEMENT STRAIN ELEMENT STRAIN ELEMENT STRAIN ELEMENT STRAIN\n' ' ID. ID. ID. ID.\n' ] return msg
[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 get_headers(self) -> list[str]: headers = ['force', 'stress'] return headers
[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