op2/result_objects Package

design_response Module

class pyNastran.op2.result_objects.design_response.Convergence(ndesign_variables)

Bases: object

append(design_iter, iconvergence, conv_result, obj_initial, obj_final, constraint_max, row_constraint_max, desvar_values)

get_convergence()

get_stats(short: bool = False)

class pyNastran.op2.result_objects.design_response.DSCMCOL(responses)

Bases: object

‘ —– IDENTIFICATION OF COLUMNS IN THE DESIGN SENSITIVITY —–’ ‘ —– MATRIX THAT ARE ASSOCIATED WITH DRESP1 ENTRIES —–’ ‘’ ‘’ ‘ —– WEIGHT/VOLUME RESPONSES —–’ ‘ ——————————————’ ‘ COLUMN DRESP1 RESPONSE’ ‘ NO. ENTRY ID TYPE ‘ ‘ ——————————————’ ‘ 1 1 WEIGHT ‘ ‘’ ‘’ ‘ —– STATICS RESPONSES —–’ ‘ ————————————————————————————————————————’ ‘ COLUMN DRESP1 RESPONSE GRID/ELM VIEW COMPONENT SUB PLY ‘ ‘ NO. ENTRY ID TYPE ID ELM ID NO. CASE NO. ‘ #’ COLUMN DRESP1 RESPONSE GRID/ELM VIEW COMPONENT SUB ‘ #’ NO. ENTRY ID TYPE ID ELM ID NO. CASE ‘ ‘ ————————————————————————————————————————’ ‘ 2 2 STRESS 1 5 1’ ‘ 3 2 STRESS 3 5 1’ ‘ 4 10501 DISP 100 1 1’ ‘’ ‘’ #’ —- RETAINED DRESP2 RESPONSES —-’ #’’ #’ ———————————————————————————————————-’ #’ INTERNAL DRESP2 RESPONSE EQUATION LOWER UPPER ‘ #’ ID ID LABEL ID BOUND VALUE BOUND ‘ #’ ———————————————————————————————————-’ #’ 3 105 DISPMAG 3 -1.0000E+20 9.4677E-05 2.5000E-04’ ‘ —– IDENTIFICATION OF COLUMNS IN THE DESIGN SENSITIVITY —–’ ‘ —– MATRIX THAT ARE ASSOCIATED WITH DRESP2 ENTRIES —–’ ‘’ ‘’ ‘ ———————————————————-’ ‘ COLUMN DRESP2 SUB FREQ/ ‘ ‘ NO. ENTRY ID CASE TIME ‘ ‘ ———————————————————-’ ‘ 96 103 0 0.00000’ ‘ 97 104 0 0.00000’ ‘ 100 105 1’

internal_response_id = iresponse + 1 = column in DSCM2

property external_ids

get_responses_by_group()

get_stats(short: bool = False)

property names

class pyNastran.op2.result_objects.design_response.Desvars(desvars)

Bases: object

get_stats(short: bool = False)

class pyNastran.op2.result_objects.design_response.DisplacementResponse

Bases: object

append(internal_id, dresp_id, response_label, region, subcase, type_flag, seid, nid, component)

get_stats(short: bool = False)

name = 'displacement'

class pyNastran.op2.result_objects.design_response.FlutterResponse

Bases: object

append(internal_id, dresp_id, response_label, region, subcase, type_flag, seid, mode, mach, velocity, density, flutter_id)

get_stats(short: bool = False)

name = 'flutter'

class pyNastran.op2.result_objects.design_response.ForceResponse

Bases: pyNastran.op2.result_objects.design_response.PropertyResponse

name = 'force'

class pyNastran.op2.result_objects.design_response.FractionalMassResponse

Bases: object

append(internal_id, dresp_id, response_label, region, subcase, type_flag, seid)

get_stats(short: bool = False)

name = 'fractional_mass'

class pyNastran.op2.result_objects.design_response.PropertyResponse

Bases: object

common class for StressResponse, StrainResponse, and ForceResponse

append(internal_id, dresp_id, response_label, region, subcase, type_flag, seid, item_code, pid)

get_stats(short: bool = False)

class pyNastran.op2.result_objects.design_response.Responses

Bases: object

Defines SOL 200 responses from the R1TABRG table

get_stats(short: bool = False) → str

get_table_types()

class pyNastran.op2.result_objects.design_response.StrainResponse

Bases: pyNastran.op2.result_objects.design_response.PropertyResponse

name = 'strain'

class pyNastran.op2.result_objects.design_response.StressResponse

Bases: pyNastran.op2.result_objects.design_response.PropertyResponse

name = 'stress'

class pyNastran.op2.result_objects.design_response.WeightResponse

Bases: object

add_from_op2(out, log)

Weight Response

1 IRID I Internal response identification number 2 RID I External response identification number 3 TYPE(C) I Response type 4 LABEL(2) CHAR4 Label 6 REGION I Region identifier 7 SCID I Subcase identification number 8 UNDEF(2) I Not used 10 SEID I Superelement identification number or ALL 11 UNDEF(2) I Not used

13 UNDEF I Not used 14 TYFLG I Flag to indicate how response is referenced 15 SEID I Superelement identificaiton number

—> 3i 8s 7i 3i

# —– WEIGHT RESPONSE —– # ——————————————————————————— # INTERNAL DRESP1 RESPONSE ROW COLUMN LOWER INPUT OUTPUT UPPER # ID ID LABEL ID ID BOUND VALUE VALUE BOUND # ——————————————————————————— # 1 1 WEIGHT 3 3 N/A 2.9861E+05 2.9852E+05 N/A

# ? ? ? LABEL? ? ? ROW_ID? COL_ID? ? ? ? ? ? ? #(1, 1, 1, ‘WEIGHT ‘, 0, 1011, 3, 3, 0, 0, 0, 0, 0, 0) #(1, 1000, 1, ‘W ‘, 0, 1, 3, 3, 0, 0, 0, 0, 0, 0) # # per dev forum; 538976288 is probably just ‘ ‘ #(1, 1, 1, ‘WEIGHT ‘, 0, 1, 3, 3, 0, 0, 538976288, 538976288, 0, 0)

append(internal_id, dresp_id, response_label, region, subcase, type_flag, seid, row_id, column_id)

get_stats(short: bool = False)

grid_point_weight Module

#.. inheritance-diagram:: pyNastran.op2.result_objects.grid_point_weight

defines the GridPointWeight class

class pyNastran.op2.result_objects.grid_point_weight.GridPointWeight(reference_point, MO, S, mass, cg, IS, IQ, Q, approach_code=1, table_code=13, title='', subtitle='', label='', superelement_adaptivity_index='')

See also

http://www.6dof.com/index.php?option=com_content&view=article&id=298:output-from-the-grid-point-weight-generator&catid=178:courses-and-trainings&Itemid=61

export_to_hdf5(group, log) → None

exports the object to HDF5 format

get_stats(key='', short=True)

object_attributes(mode='public', keys_to_skip=None, filter_properties=False)

object_methods(mode='public', keys_to_skip=None)

write_f06(f06_file, page_stamp, page_num)

writes the f06

Parameters

f06_filefile / StringIO

a file-like object

page_stampstr

the page formatter (e.g., ‘PAGE %i’)

page_numint

the active page number

Returns

page_numint

the new page number

write_op2(op2_file, op2_ascii, date, endian=b'<')

pyNastran.op2.result_objects.grid_point_weight.make_grid_point_weight(reference_point, MO, approach_code=1, table_code=13, title='', subtitle='', label='', superelement_adaptivity_index='') → None

creates a grid point weight table

# :show-inheritance:

matrix Module

#.. inheritance-diagram:: pyNastran.op2.result_objects.matrix

Defines the Matrix class

class pyNastran.op2.result_objects.matrix.Matrix(name, form, is_matpool=False)

Defines a Matrix object that’s stored in op2.matrices

Attributes

namestr

the name of the matrix

datavaries

dense : np.ndarray sparse : coo_matrix data is initialized by setting the matrix.data attribute externally

is_matpoolbool

is this a matpool matrix

Initializes a Matrix

Parameters

namestr

the name of the matrix

formint

the matrix type

is_matpoolbool

is this a matpool matrix

+——+—————–+

| Form | Meaning |

+======+=================+

| 1 | Square |

| 2 | Rectangular |

| 6 | Symmetric |

| 9 | Pseudo identity |

+——+—————–+

build_dataframe()

exports the object to pandas format

export_to_hdf5(group, log)

exports the object to HDF5 format

object_attributes(mode='public', keys_to_skip=None, filter_properties=False)

object_methods(mode='public', keys_to_skip=None)

property shape_str

gets the matrix description

write(mat, print_full=True)

writes to the F06

class pyNastran.op2.result_objects.matrix.MatrixDict(name)

storage object for KDICT, MDICT, BDICT, etc. is op2.matdicts

add(eltype, numwids, numgrid, dof_per_grid, form, eids, ge, address, sil, xform=None)

Sets the next set of the KDICT

property element_names

property nelements

# :show-inheritance:

monpnt Module

#.. inheritance-diagram:: pyNastran.op2.result_objects.monpnt

class pyNastran.op2.result_objects.monpnt.MONPNT1(frequencies, matrices, comp_matrices)

MONPNT1 table

write(f06_file, page_stamp: str = '', page_num: int = 1)

class pyNastran.op2.result_objects.monpnt.MONPNT3(frequencies, matrix)

MONPNT3 table

write(f06_file, page_stamp: str = '', page_num: int = 1)

# :show-inheritance: