oes_plates Module

class pyNastran.op2.tables.oes_stressStrain.complex.oes_plates.ComplexPlateArray(data_code, is_sort1, isubcase, dt)

Bases: pyNastran.op2.tables.oes_stressStrain.real.oes_objects.OES_Object

ELEMENT FIBER - STRESSES IN ELEMENT COORDINATE SYSTEM -

ID. DISTANCE NORMAL-X NORMAL-Y SHEAR-XY VON MISES

0 101 -5.000000E-01 -8.152692E-01 / 0.0 -1.321875E+00 / 0.0 -3.158517E+00 / 0.0 5.591334E+00

5.000000E-01 1.728573E+00 / 0.0 -7.103837E+00 / 0.0 2.856040E+00 / 0.0 9.497519E+00

floats = (1011,

-0.5, -0.8152692, 0.0, -1.321874, 0.0, -3.158516, 0.0, 5.591334,

0.5, 1.7285730, 0.0, -7.103837, 0.0, 2.856039, 0.0, 9.497518)

add_ovm_sort1(dt, eid, node_id, fdr, oxx, oyy, txy, ovm) → None

build() → None

sizes the vectorized attributes of the ComplexPlateArray

build_dataframe() → None

creates a pandas dataframe

get_stats(short: bool = False) → List[str]

property has_von_mises

what is the form of the table (NX includes Von Mises)

property is_complex

property is_real

property nnodes_per_element

write_f06(f06_file, header=None, page_stamp='PAGE %s', page_num=1, is_mag_phase=False, is_sort1=True) → int

write_op2(op2, op2_ascii, itable, new_result, date, is_mag_phase=False, endian='>') → int

writes an OP2

class pyNastran.op2.tables.oes_stressStrain.complex.oes_plates.ComplexPlateStrainArray(data_code, is_sort1, isubcase, dt)

Bases: pyNastran.op2.tables.oes_stressStrain.complex.oes_plates.ComplexPlateArray, pyNastran.op2.tables.oes_stressStrain.real.oes_objects.StrainObject

get_headers() → List[str]

class pyNastran.op2.tables.oes_stressStrain.complex.oes_plates.ComplexPlateStressArray(data_code, is_sort1, isubcase, dt)

Bases: pyNastran.op2.tables.oes_stressStrain.complex.oes_plates.ComplexPlateArray, pyNastran.op2.tables.oes_stressStrain.real.oes_objects.StressObject

get_headers() → List[str]

class pyNastran.op2.tables.oes_stressStrain.complex.oes_plates.ComplexTriaxStressArray(data_code, is_sort1, isubcase, dt)

Bases: pyNastran.op2.tables.oes_stressStrain.real.oes_objects.OES_Object

add_eid_sort1(dt, eid, loc, rs, azs, As, ss)

add_new_eid_sort1(dt, eid, node_id, fdr, oxx, oyy, txy)

add_new_node_sort1(dt, eid, gridc, fdr, oxx, oyy, txy)

build() → None

sizes the vectorized attributes of the ComplexPlateArray

get_headers() → List[str]

get_stats(short: bool = False) → List[str]

property is_complex

property is_real

property nnodes_per_element

pyNastran.op2.tables.oes_stressStrain.complex.oes_plates.get_nnodes(self)