beam_axial_total_strain#

Autogenerated DPF operator classes.

class ansys.dpf.core.operators.result.beam_axial_total_strain.beam_axial_total_strain(time_scoping=None, mesh_scoping=None, streams_container=None, data_sources=None, integration_point=None, unit_system=None, config=None, server=None)#

Read Beam Axial Total strain (LSDyna) by calling the readers defined by the datasources.

Parameters:

  • time_scoping (Scoping or int or float or Field, optional) – Time/freq values (use doubles or field), time/freq set ids (use ints or scoping) or time/freq step ids (use scoping with timefreq_steps location) required in output. to specify time/freq values at specific load steps, put a field (and not a list) in input with a scoping located on “timefreq_steps”. linear time freq intrapolation is performed if the values are not in the result files and the data at the max time or freq is taken when time/freqs are higher than available time/freqs in result files.

  • mesh_scoping (ScopingsContainer or Scoping, optional) – Elements scoping required in output.

  • streams_container (StreamsContainer, optional) – Result file container allowed to be kept open to cache data

  • data_sources (DataSources) – Result file path container, used if no streams are set

  • integration_point (int, optional) – Integration point where the result will be read from. default value: 0 (first integration point).

  • unit_system (int or str or UnitSystem, optional) – Unit system id (int), semicolon-separated list of base unit strings (str) or unitsystem instance

Returns:

fields_container

Return type:

FieldsContainer

Examples

>>> from ansys.dpf import core as dpf

>>> # Instantiate operator
>>> op = dpf.operators.result.beam_axial_total_strain()

>>> # Make input connections
>>> my_time_scoping = dpf.Scoping()
>>> op.inputs.time_scoping.connect(my_time_scoping)
>>> my_mesh_scoping = dpf.ScopingsContainer()
>>> op.inputs.mesh_scoping.connect(my_mesh_scoping)
>>> my_streams_container = dpf.StreamsContainer()
>>> op.inputs.streams_container.connect(my_streams_container)
>>> my_data_sources = dpf.DataSources()
>>> op.inputs.data_sources.connect(my_data_sources)
>>> my_integration_point = int()
>>> op.inputs.integration_point.connect(my_integration_point)
>>> my_unit_system = int()
>>> op.inputs.unit_system.connect(my_unit_system)

>>> # Instantiate operator and connect inputs in one line
>>> op = dpf.operators.result.beam_axial_total_strain(
...     time_scoping=my_time_scoping,
...     mesh_scoping=my_mesh_scoping,
...     streams_container=my_streams_container,
...     data_sources=my_data_sources,
...     integration_point=my_integration_point,
...     unit_system=my_unit_system,
... )

>>> # Get output data
>>> result_fields_container = op.outputs.fields_container()
static default_config(server=None)#

Returns the default config of the operator.

This config can then be changed to the user needs and be used to instantiate the operator. The Configuration allows to customize how the operation will be processed by the operator.

Parameters:

server (server.DPFServer, optional) – Server with channel connected to the remote or local instance. When None, attempts to use the global server.

property inputs#

Enables to connect inputs to the operator

Returns:

inputs

Return type:

InputsBeamAxialTotalStrain

property outputs#

Enables to get outputs of the operator by evaluating it

Returns:

outputs

Return type:

OutputsBeamAxialTotalStrain

property config#

Copy of the operator’s current configuration.

You can modify the copy of the configuration and then use operator.config = new_config or instantiate an operator with the new configuration as a parameter.

For information on an operator’s options, see the documentation for that operator.

Returns:

Copy of the operator’s current configuration.

Return type:

ansys.dpf.core.config.Config

Examples

Modify the copy of an operator’s configuration and set it as current config of the operator.

>>> from ansys.dpf import core as dpf
>>> op = dpf.operators.math.add()
>>> config_add = op.config
>>> config_add.set_work_by_index_option(True)
>>> op.config = config_add
connect(pin, inpt, pin_out=0)#

Connect an input on the operator using a pin number.

Parameters:

  • pin (int) – Number of the input pin.

  • inpt (str, int, double, bool, list[int], list[float], Field, FieldsContainer, Scoping,) –

  • ScopingsContainer – Operator, os.PathLike Object to connect to.

  • MeshedRegion – Operator, os.PathLike Object to connect to.

  • MeshesContainer – Operator, os.PathLike Object to connect to.

  • DataSources – Operator, os.PathLike Object to connect to.

  • CyclicSupport – Operator, os.PathLike Object to connect to.

  • dict – Operator, os.PathLike Object to connect to.

  • Outputs – Operator, os.PathLike Object to connect to.

  • pin_out (int, optional) – If the input is an operator, the output pin of the input operator. The default is 0.

Examples

Compute the minimum of displacement by chaining the "U" and "min_max_fc" operators.

>>> from ansys.dpf import core as dpf
>>> from ansys.dpf.core import examples
>>> data_src = dpf.DataSources(examples.find_multishells_rst())
>>> disp_op = dpf.operators.result.displacement()
>>> disp_op.inputs.data_sources(data_src)
>>> max_fc_op = dpf.operators.min_max.min_max_fc()
>>> max_fc_op.inputs.connect(disp_op.outputs)
>>> max_field = max_fc_op.outputs.field_max()
>>> max_field.data
DPFArray([[0.59428386, 0.00201751, 0.0006032 ]]...
connect_operator_as_input(pin, op)#

Connects an operator as an input on a pin. :type pin: :param pin: Number of the output pin. The default is 0. :type pin: int :type op: :param op: Requested type of the output. The default is None. :type op: ansys.dpf.core.dpf_operator.Operator

eval(pin=None)#

Evaluate this operator.

Parameters:

pin (int) – Number of the output pin. The default is None.

Returns:

output – Returns the first output of the operator by default and the output of a given pin when specified. Or, it only evaluates the operator without output.

Return type:

FieldsContainer, Field, MeshedRegion, Scoping

Examples

Use the eval method.

>>> from ansys.dpf import core as dpf
>>> import ansys.dpf.core.operators.math as math
>>> from ansys.dpf.core import examples
>>> data_src = dpf.DataSources(examples.find_multishells_rst())
>>> disp_op = dpf.operators.result.displacement()
>>> disp_op.inputs.data_sources(data_src)
>>> normfc = math.norm_fc(disp_op).eval()
get_output(pin=0, output_type=None)#

Retrieve the output of the operator on the pin number.

To activate the progress bar for server version higher or equal to 3.0, use my_op.progress_bar=True

Parameters:

  • pin (int, optional) – Number of the output pin. The default is 0.

  • output_type (ansys.dpf.core.common.types, type, optional) – Requested type of the output. The default is None.

Returns:

Output of the operator.

Return type:

type

static operator_specification(op_name, server=None)#

Documents an Operator with its description (what the Operator does), its inputs and outputs and some properties

property progress_bar: bool#

With this property, the user can choose to print a progress bar when the operator’s output is requested, default is False

run()#

Evaluate this operator.

property specification#

Returns the Specification (or documentation) of this Operator

Return type:

Specification

class ansys.dpf.core.operators.result.beam_axial_total_strain.InputsBeamAxialTotalStrain(op: ansys.dpf.core.dpf_operator.Operator)#

Intermediate class used to connect user inputs to beam_axial_total_strain operator.

Examples

>>> from ansys.dpf import core as dpf
>>> op = dpf.operators.result.beam_axial_total_strain()
>>> my_time_scoping = dpf.Scoping()
>>> op.inputs.time_scoping.connect(my_time_scoping)
>>> my_mesh_scoping = dpf.ScopingsContainer()
>>> op.inputs.mesh_scoping.connect(my_mesh_scoping)
>>> my_streams_container = dpf.StreamsContainer()
>>> op.inputs.streams_container.connect(my_streams_container)
>>> my_data_sources = dpf.DataSources()
>>> op.inputs.data_sources.connect(my_data_sources)
>>> my_integration_point = int()
>>> op.inputs.integration_point.connect(my_integration_point)
>>> my_unit_system = int()
>>> op.inputs.unit_system.connect(my_unit_system)
property time_scoping#

Allows to connect time_scoping input to the operator.

Time/freq values (use doubles or field), time/freq set ids (use ints or scoping) or time/freq step ids (use scoping with timefreq_steps location) required in output. to specify time/freq values at specific load steps, put a field (and not a list) in input with a scoping located on “timefreq_steps”. linear time freq intrapolation is performed if the values are not in the result files and the data at the max time or freq is taken when time/freqs are higher than available time/freqs in result files.

Parameters:

my_time_scoping (Scoping or int or float or Field) –

Examples

>>> from ansys.dpf import core as dpf
>>> op = dpf.operators.result.beam_axial_total_strain()
>>> op.inputs.time_scoping.connect(my_time_scoping)
>>> # or
>>> op.inputs.time_scoping(my_time_scoping)
property mesh_scoping#

Allows to connect mesh_scoping input to the operator.

Elements scoping required in output.

Parameters:

my_mesh_scoping (ScopingsContainer or Scoping) –

Examples

>>> from ansys.dpf import core as dpf
>>> op = dpf.operators.result.beam_axial_total_strain()
>>> op.inputs.mesh_scoping.connect(my_mesh_scoping)
>>> # or
>>> op.inputs.mesh_scoping(my_mesh_scoping)
property streams_container#

Allows to connect streams_container input to the operator.

Result file container allowed to be kept open to cache data

Parameters:

my_streams_container (StreamsContainer) –

Examples

>>> from ansys.dpf import core as dpf
>>> op = dpf.operators.result.beam_axial_total_strain()
>>> op.inputs.streams_container.connect(my_streams_container)
>>> # or
>>> op.inputs.streams_container(my_streams_container)
property data_sources#

Allows to connect data_sources input to the operator.

Result file path container, used if no streams are set

Parameters:

my_data_sources (DataSources) –

Examples

>>> from ansys.dpf import core as dpf
>>> op = dpf.operators.result.beam_axial_total_strain()
>>> op.inputs.data_sources.connect(my_data_sources)
>>> # or
>>> op.inputs.data_sources(my_data_sources)
property integration_point#

Allows to connect integration_point input to the operator.

Integration point where the result will be read from. default value: 0 (first integration point).

Parameters:

my_integration_point (int) –

Examples

>>> from ansys.dpf import core as dpf
>>> op = dpf.operators.result.beam_axial_total_strain()
>>> op.inputs.integration_point.connect(my_integration_point)
>>> # or
>>> op.inputs.integration_point(my_integration_point)
property unit_system#

Allows to connect unit_system input to the operator.

Unit system id (int), semicolon-separated list of base unit strings (str) or unitsystem instance

Parameters:

my_unit_system (int or str or UnitSystem) –

Examples

>>> from ansys.dpf import core as dpf
>>> op = dpf.operators.result.beam_axial_total_strain()
>>> op.inputs.unit_system.connect(my_unit_system)
>>> # or
>>> op.inputs.unit_system(my_unit_system)
connect(inpt)#

Connect any input (an entity or an operator output) to any input pin of this operator. Searches for the input type corresponding to the output.

Parameters:

  • inpt (str, int, double, bool, list[int], list[float], Field, FieldsContainer, Scoping,) –

  • ScopingsContainer (E501) – Input of the operator.

  • MeshedRegion (E501) – Input of the operator.

  • MeshesContainer (E501) – Input of the operator.

  • DataSources (E501) – Input of the operator.

  • CyclicSupport (E501) – Input of the operator.

  • Outputs (E501) – Input of the operator.

  • noqa (os.PathLike #) – Input of the operator.

class ansys.dpf.core.operators.result.beam_axial_total_strain.OutputsBeamAxialTotalStrain(op: ansys.dpf.core.dpf_operator.Operator)#

Intermediate class used to get outputs from beam_axial_total_strain operator.

Examples

>>> from ansys.dpf import core as dpf
>>> op = dpf.operators.result.beam_axial_total_strain()
>>> # Connect inputs : op.inputs. ...
>>> result_fields_container = op.outputs.fields_container()
property fields_container#

Allows to get fields_container output of the operator

Returns:

my_fields_container

Return type:

FieldsContainer

Examples

>>> from ansys.dpf import core as dpf
>>> op = dpf.operators.result.beam_axial_total_strain()
>>> # Connect inputs : op.inputs. ...
>>> result_fields_container = op.outputs.fields_container()