oes_plates Module

class pyNastran.op2.tables.oes_stressStrain.random.oes_plates.RandomPlateArray(data_code, is_sort1, isubcase, dt)

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

add_ovm_sort1(dt, eid, nid, fd1, oxx1, oyy1, txy1, ovm1, fd2, oxx2, oyy2, txy2, ovm2)

unvectorized method for adding SORT1 transient data

add_ovm_sort2(dt, eid, nid, fd1, oxx1, oyy1, txy1, ovm1, fd2, oxx2, oyy2, txy2, ovm2)

unvectorized method for adding SORT2 transient data

build()

sizes the vectorized attributes of the ComplexPlateArray

build_data(ntimes, nelements, nlayers, nnodes, ntotal, nx, ny, dtype)

actually performs the build step

build_dataframe()

creates a pandas dataframe

finalize()

Calls any OP2 objects that need to do any post matrix calcs

get_stats(short=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)

class pyNastran.op2.tables.oes_stressStrain.random.oes_plates.RandomPlateStrainArray(data_code, is_sort1, isubcase, dt)

Bases: pyNastran.op2.tables.oes_stressStrain.random.oes_plates.RandomPlateArray, pyNastran.op2.tables.oes_stressStrain.real.oes_objects.StrainObject

get_headers() → List[str]

class pyNastran.op2.tables.oes_stressStrain.random.oes_plates.RandomPlateStressArray(data_code, is_sort1, isubcase, dt)

Bases: pyNastran.op2.tables.oes_stressStrain.random.oes_plates.RandomPlateArray, pyNastran.op2.tables.oes_stressStrain.real.oes_objects.StressObject

NX 2 FD1 RS Z1 = Fibre Distance 3 SX1 RS Normal in x at Z1 4 SY1 RS Normal in y at Z1 5 TXY1 RS Shear in xy at Z1 6 FD2 RS Z2 = Fibre Distance 7 SX2 RS Normal in x at Z2 8 SY2 RS Normal in y at Z2 9 TXY2 RS Shear in xy at Z2

get_headers() → List[str]

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