oes_solids Module

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class pyNastran.op2.tables.oes_stressStrain.real.oes_solids.RealSolidArray(data_code, is_sort1, isubcase, dt)

Bases: OES_Object

abs_principal() → ndarray

add_eid_sort1(unused_etype, cid, dt, eid, unused_node_id, oxx, oyy, ozz, txy, tyz, txz, o1, o2, o3, unused_acos, unused_bcos, unused_ccos, unused_pressure, ovm)

add_eid_sort2(unused_etype, cid, dt, eid, unused_node_id, oxx, oyy, ozz, txy, tyz, txz, o1, o2, o3, unused_acos, unused_bcos, unused_ccos, unused_pressure, ovm)

classmethod add_modal_case(table_name, element_name: str, element_node, element_cid, data, isubcase: int, modes: ndarray, eigns: ndarray, cycles: ndarray, is_sort1: bool = True, is_random: bool = False, is_msc: bool = True, random_code: int = 0, title: str = '', subtitle: str = '', label: str = '')

add_node_sort1(dt, eid, unused_inode, node_id, oxx, oyy, ozz, txy, tyz, txz, o1, o2, o3, unused_acos, unused_bcos, unused_ccos, unused_pressure, ovm)

add_node_sort2(dt, eid, unused_inode, node_id, oxx, oyy, ozz, txy, tyz, txz, o1, o2, o3, unused_acos, unused_bcos, unused_ccos, unused_pressure, ovm)

classmethod add_post_buckling_case(table_name, element_name, element_node, element_cid, data, isubcase: int, modes: ndarray, eigrs: ndarray, eigis: ndarray, is_sort1: bool = True, is_random: bool = False, is_msc: bool = True, random_code: int = 0, title: str = '', subtitle: str = '', label: str = '')

classmethod add_static_case(table_name, element_name, element_node, element_cid, data, isubcase, is_sort1=True, is_random=False, is_msc=True, random_code=0, title='', subtitle='', label='')

classmethod add_transient_case(table_name, element_name, element_node, element_cid, data, isubcase, times, is_sort1=True, is_random=False, is_msc=True, random_code=0, title='', subtitle='', label='')

build()

sizes the vectorized attributes of the RealSolidArray

build_dataframe()

creates a pandas dataframe

check_stress(itime: int = 0)

check_update(check_code: bool = False)

eid_to_element_node_index(eids)

envelope(eids: ndarray, result_name: str, consider_corner_nodes: bool = False) → ndarray

get_element_index(eids)

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

property is_complex: bool

property is_real: bool

linear_combination(factor: tuple[int, int32, int64, float, float32], data: ndarray | None = None, update: bool = True)

[A] * b

max_shear() → ndarray

property nnodes_per_element: int

property nnodes_per_element_no_centroid: int

slice_data(slice_elements: ndarray) → int

update_data_components()

von_mises() → ndarray

write_csv(csv_file: TextIO, is_exponent_format: bool = False, is_mag_phase: bool = False, is_sort1: bool = True, write_header: bool = True)

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

write_op2(op2_file, op2_ascii, itable, new_result, date, is_mag_phase=False, endian='>')

writes an OP2

class pyNastran.op2.tables.oes_stressStrain.real.oes_solids.RealSolidStrainArray(data_code, is_sort1, isubcase, dt)

Bases: RealSolidArray, StrainObject

property headers: list[str]

class pyNastran.op2.tables.oes_stressStrain.real.oes_solids.RealSolidStressArray(data_code, is_sort1, isubcase, dt)

Bases: RealSolidArray, StressObject

property headers: list[str]

pyNastran.op2.tables.oes_stressStrain.real.oes_solids.calculate_principal_eigenvectors4(ntimes: int, nelements: int, oxx: ndarray, oyy: ndarray, ozz: ndarray, txy: ndarray, txz: ndarray, tyz: ndarray, is_stress: bool, dtype)

For 10 CTETRA elements (5 nodes) with 2 times, the shape would be: >>> (ntimes, nelements*nnodes, 3, 3) >>> (2, 10*5, 3, 3)

TODO: scale by 2 for strain

Parameters:

oxx(ntimes, nnodes) np.ndarray

Returns:

eigenvalues(ntimes*nnodes, 3)

the eigenvalues

eigenvectors(ntimes*nnodes, 3, 3)

the eigenvectors

pyNastran.op2.tables.oes_stressStrain.real.oes_solids.calculate_principal_eigenvectors5(self, ntimes: int, nelements: int, nnodes: int, oxx: ndarray, oyy: ndarray, ozz: ndarray, txy: ndarray, txz: ndarray, tyz: ndarray, dtype)

For 10 CTETRA elements (5 nodes) with 2 times, the shape would be: >>> (ntimes, nelements, nnodes, 3, 3) >>> (2, 10, 5, 3, 3)

TODO: scale by 2 for strain

pyNastran.op2.tables.oes_stressStrain.real.oes_solids.o123_to_max_mid_min(o1, o2, o3)

pyNastran.op2.tables.oes_stressStrain.real.oes_solids.set_element_cid_case(cls: RealSolidArray, data_code, is_sort1, isubcase, element_node, element_cid, data, times)