thermal_strain_XY#

Autogenerated DPF operator classes.

class ansys.dpf.core.operators.result.thermal_strain_XY.thermal_strain_XY(time_scoping=None, mesh_scoping=None, fields_container=None, streams_container=None, data_sources=None, bool_rotate_to_global=None, mesh=None, requested_location=None, read_cyclic=None, read_beams=None, config=None, server=None)#

Read/compute element nodal component thermal strains XY shear component (01 component) by calling the readers defined by the datasources. Regarding the requested location and the input mesh scoping, the result location can be Nodal/ElementalNodal/Elemental.

Parameters

time_scoping (Scoping or int or float or Field, optional) – Time/freq (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
mesh_scoping (ScopingsContainer or Scoping, optional) – Nodes or elements scoping required in output. the scoping’s location indicates whether nodes or elements are asked. using scopings container enables to split the result fields container in domains
fields_container (FieldsContainer, optional) – Fieldscontainer already allocated modified inplace
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
bool_rotate_to_global (bool, optional) – If true the field is rotated to global coordinate system (default true)
mesh (MeshedRegion or MeshesContainer, optional) – Prevents from reading the mesh in the result files
requested_location (str, optional) – Requested location, default is nodal
read_cyclic (int, optional) – If 0 cyclic symmetry is ignored, if 1 cyclic sector is read, if 2 cyclic expansion is done, if 3 cyclic expansion is done and stages are merged (default is 1)
read_beams (bool, optional) – Elemental nodal beam results are read if this pin is set to true (default is false)

Examples

>>> from ansys.dpf import core as dpf

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

>>> # 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_fields_container = dpf.FieldsContainer()
>>> op.inputs.fields_container.connect(my_fields_container)
>>> 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_bool_rotate_to_global = bool()
>>> op.inputs.bool_rotate_to_global.connect(my_bool_rotate_to_global)
>>> my_mesh = dpf.MeshedRegion()
>>> op.inputs.mesh.connect(my_mesh)
>>> my_requested_location = str()
>>> op.inputs.requested_location.connect(my_requested_location)
>>> my_read_cyclic = int()
>>> op.inputs.read_cyclic.connect(my_read_cyclic)
>>> my_read_beams = bool()
>>> op.inputs.read_beams.connect(my_read_beams)

>>> # Instantiate operator and connect inputs in one line
>>> op = dpf.operators.result.thermal_strain_XY(
...     time_scoping=my_time_scoping,
...     mesh_scoping=my_mesh_scoping,
...     fields_container=my_fields_container,
...     streams_container=my_streams_container,
...     data_sources=my_data_sources,
...     bool_rotate_to_global=my_bool_rotate_to_global,
...     mesh=my_mesh,
...     requested_location=my_requested_location,
...     read_cyclic=my_read_cyclic,
...     read_beams=my_read_beams,
... )

>>> # 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: InputsThermalStrainXy

property outputs#

Enables to get outputs of the operator by evaluationg it

Returns: outputs
Return type: OutputsThermalStrainXy

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 create an operator with the new configuration as a parameter.

Returns: Copy of the operator’s current configuration.
Return type: ansys.dpf.core.config.Config

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.
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.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 ]]...

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.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.thermal_strain_XY.InputsThermalStrainXy(op: ansys.dpf.core.dpf_operator.Operator)#

Intermediate class used to connect user inputs to thermal_strain_XY operator.

Examples

>>> from ansys.dpf import core as dpf
>>> op = dpf.operators.result.thermal_strain_XY()
>>> 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_fields_container = dpf.FieldsContainer()
>>> op.inputs.fields_container.connect(my_fields_container)
>>> 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_bool_rotate_to_global = bool()
>>> op.inputs.bool_rotate_to_global.connect(my_bool_rotate_to_global)
>>> my_mesh = dpf.MeshedRegion()
>>> op.inputs.mesh.connect(my_mesh)
>>> my_requested_location = str()
>>> op.inputs.requested_location.connect(my_requested_location)
>>> my_read_cyclic = int()
>>> op.inputs.read_cyclic.connect(my_read_cyclic)
>>> my_read_beams = bool()
>>> op.inputs.read_beams.connect(my_read_beams)

property time_scoping#

Allows to connect time_scoping input to the operator.

Time/freq (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

Parameters: my_time_scoping (Scoping or int or float or Field) –

Examples

>>> from ansys.dpf import core as dpf
>>> op = dpf.operators.result.thermal_strain_XY()
>>> 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.

Nodes or elements scoping required in output. the scoping’s location indicates whether nodes or elements are asked. using scopings container enables to split the result fields container in domains

Parameters: my_mesh_scoping (ScopingsContainer or Scoping) –

Examples

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

property fields_container#

Allows to connect fields_container input to the operator.

Fieldscontainer already allocated modified inplace

Parameters: my_fields_container (FieldsContainer) –

Examples

>>> from ansys.dpf import core as dpf
>>> op = dpf.operators.result.thermal_strain_XY()
>>> op.inputs.fields_container.connect(my_fields_container)
>>> # or
>>> op.inputs.fields_container(my_fields_container)

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.thermal_strain_XY()
>>> 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.thermal_strain_XY()
>>> op.inputs.data_sources.connect(my_data_sources)
>>> # or
>>> op.inputs.data_sources(my_data_sources)

property bool_rotate_to_global#

Allows to connect bool_rotate_to_global input to the operator.

If true the field is rotated to global coordinate system (default true)

Parameters: my_bool_rotate_to_global (bool) –

Examples

>>> from ansys.dpf import core as dpf
>>> op = dpf.operators.result.thermal_strain_XY()
>>> op.inputs.bool_rotate_to_global.connect(my_bool_rotate_to_global)
>>> # or
>>> op.inputs.bool_rotate_to_global(my_bool_rotate_to_global)

property mesh#

Allows to connect mesh input to the operator.

Prevents from reading the mesh in the result files

Parameters: my_mesh (MeshedRegion or MeshesContainer) –

Examples

>>> from ansys.dpf import core as dpf
>>> op = dpf.operators.result.thermal_strain_XY()
>>> op.inputs.mesh.connect(my_mesh)
>>> # or
>>> op.inputs.mesh(my_mesh)

property requested_location#

Allows to connect requested_location input to the operator.

Requested location, default is nodal

Parameters: my_requested_location (str) –

Examples

>>> from ansys.dpf import core as dpf
>>> op = dpf.operators.result.thermal_strain_XY()
>>> op.inputs.requested_location.connect(my_requested_location)
>>> # or
>>> op.inputs.requested_location(my_requested_location)

property read_cyclic#

Allows to connect read_cyclic input to the operator.

If 0 cyclic symmetry is ignored, if 1 cyclic sector is read, if 2 cyclic expansion is done, if 3 cyclic expansion is done and stages are merged (default is 1)

Parameters: my_read_cyclic (int) –

Examples

>>> from ansys.dpf import core as dpf
>>> op = dpf.operators.result.thermal_strain_XY()
>>> op.inputs.read_cyclic.connect(my_read_cyclic)
>>> # or
>>> op.inputs.read_cyclic(my_read_cyclic)

property read_beams#

Allows to connect read_beams input to the operator.

Elemental nodal beam results are read if this pin is set to true (default is false)

Parameters: my_read_beams (bool) –

Examples

>>> from ansys.dpf import core as dpf
>>> op = dpf.operators.result.thermal_strain_XY()
>>> op.inputs.read_beams.connect(my_read_beams)
>>> # or
>>> op.inputs.read_beams(my_read_beams)

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.thermal_strain_XY.OutputsThermalStrainXy(op: ansys.dpf.core.dpf_operator.Operator)#

Intermediate class used to get outputs from thermal_strain_XY operator.

Examples

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