cyclic_expanded_acceleration#
Autogenerated DPF operator classes.
- class ansys.dpf.core.operators.result.cyclic_expanded_acceleration.cyclic_expanded_acceleration(time_scoping=None, mesh_scoping=None, fields_container=None, streams_container=None, data_sources=None, bool_rotate_to_global=None, sector_mesh=None, requested_location=None, read_cyclic=None, expanded_meshed_region=None, cyclic_support=None, sectors_to_expand=None, phi=None, config=None, server=None)#
Read acceleration from an rst file and expand it with cyclic symmetry.
- Parameters
time_scoping (Scoping, optional) –
mesh_scoping (ScopingsContainer or Scoping, optional) –
fields_container (FieldsContainer, optional) – Fieldscontainer already allocated modified inplace
streams_container (StreamsContainer or Stream, optional) – Streams containing the result file.
data_sources (DataSources) – Data sources containing the result file.
bool_rotate_to_global (bool, optional) – Default is true
sector_mesh (MeshedRegion or MeshesContainer, optional) – Mesh of the base sector (can be a skin).
requested_location (str, optional) – Location needed in output
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)
expanded_meshed_region (MeshedRegion or MeshesContainer, optional) – Mesh expanded.
cyclic_support (CyclicSupport, optional) –
sectors_to_expand (Scoping or ScopingsContainer, optional) – Sectors to expand (start at 0), for multistage: use scopings container with ‘stage’ label.
phi (float, optional) – Angle phi (default value 0.0)
Examples
>>> from ansys.dpf import core as dpf
>>> # Instantiate operator >>> op = dpf.operators.result.cyclic_expanded_acceleration()
>>> # 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_sector_mesh = dpf.MeshedRegion() >>> op.inputs.sector_mesh.connect(my_sector_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_expanded_meshed_region = dpf.MeshedRegion() >>> op.inputs.expanded_meshed_region.connect(my_expanded_meshed_region) >>> my_cyclic_support = dpf.CyclicSupport() >>> op.inputs.cyclic_support.connect(my_cyclic_support) >>> my_sectors_to_expand = dpf.Scoping() >>> op.inputs.sectors_to_expand.connect(my_sectors_to_expand) >>> my_phi = float() >>> op.inputs.phi.connect(my_phi)
>>> # Instantiate operator and connect inputs in one line >>> op = dpf.operators.result.cyclic_expanded_acceleration( ... 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, ... sector_mesh=my_sector_mesh, ... requested_location=my_requested_location, ... read_cyclic=my_read_cyclic, ... expanded_meshed_region=my_expanded_meshed_region, ... cyclic_support=my_cyclic_support, ... sectors_to_expand=my_sectors_to_expand, ... phi=my_phi, ... )
>>> # Get output data >>> result_fields_container = op.outputs.fields_container() >>> result_expanded_meshes = op.outputs.expanded_meshes()
- 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 the global server.
- property inputs#
Enables to connect inputs to the operator
- Returns
inputs
- Return type
- property outputs#
Enables to get outputs of the operator by evaluationg it
- Returns
outputs
- Return type
- 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
- 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 of int, list of doubles,) –
- Field, FieldsContainer, Scoping, ScopingsContainer, MeshedRegion,
MeshesContainer, DataSources, 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 array([[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
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
, optional) – Requested type of the output. The default isNone
.
- Returns
Output of the operator.
- Return type
type
- static operator_specification(op_name, server=None)#
Put the grpc spec message in self._spec
- 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.
- class ansys.dpf.core.operators.result.cyclic_expanded_acceleration.InputsCyclicExpandedAcceleration(op: ansys.dpf.core.dpf_operator.Operator)#
Intermediate class used to connect user inputs to cyclic_expanded_acceleration operator.
Examples
>>> from ansys.dpf import core as dpf >>> op = dpf.operators.result.cyclic_expanded_acceleration() >>> 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_sector_mesh = dpf.MeshedRegion() >>> op.inputs.sector_mesh.connect(my_sector_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_expanded_meshed_region = dpf.MeshedRegion() >>> op.inputs.expanded_meshed_region.connect(my_expanded_meshed_region) >>> my_cyclic_support = dpf.CyclicSupport() >>> op.inputs.cyclic_support.connect(my_cyclic_support) >>> my_sectors_to_expand = dpf.Scoping() >>> op.inputs.sectors_to_expand.connect(my_sectors_to_expand) >>> my_phi = float() >>> op.inputs.phi.connect(my_phi)
- property time_scoping#
Allows to connect time_scoping input to the operator.
- Parameters
my_time_scoping (Scoping) –
Examples
>>> from ansys.dpf import core as dpf >>> op = dpf.operators.result.cyclic_expanded_acceleration() >>> 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.
- Parameters
my_mesh_scoping (ScopingsContainer or Scoping) –
Examples
>>> from ansys.dpf import core as dpf >>> op = dpf.operators.result.cyclic_expanded_acceleration() >>> 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.cyclic_expanded_acceleration() >>> 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.
Streams containing the result file.
- Parameters
my_streams_container (StreamsContainer or Stream) –
Examples
>>> from ansys.dpf import core as dpf >>> op = dpf.operators.result.cyclic_expanded_acceleration() >>> 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.
Data sources containing the result file.
- Parameters
my_data_sources (DataSources) –
Examples
>>> from ansys.dpf import core as dpf >>> op = dpf.operators.result.cyclic_expanded_acceleration() >>> 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.
Default is true
- Parameters
my_bool_rotate_to_global (bool) –
Examples
>>> from ansys.dpf import core as dpf >>> op = dpf.operators.result.cyclic_expanded_acceleration() >>> 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 sector_mesh#
Allows to connect sector_mesh input to the operator.
Mesh of the base sector (can be a skin).
- Parameters
my_sector_mesh (MeshedRegion or MeshesContainer) –
Examples
>>> from ansys.dpf import core as dpf >>> op = dpf.operators.result.cyclic_expanded_acceleration() >>> op.inputs.sector_mesh.connect(my_sector_mesh) >>> # or >>> op.inputs.sector_mesh(my_sector_mesh)
- property requested_location#
Allows to connect requested_location input to the operator.
Location needed in output
- Parameters
my_requested_location (str) –
Examples
>>> from ansys.dpf import core as dpf >>> op = dpf.operators.result.cyclic_expanded_acceleration() >>> 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.cyclic_expanded_acceleration() >>> op.inputs.read_cyclic.connect(my_read_cyclic) >>> # or >>> op.inputs.read_cyclic(my_read_cyclic)
- property expanded_meshed_region#
Allows to connect expanded_meshed_region input to the operator.
Mesh expanded.
- Parameters
my_expanded_meshed_region (MeshedRegion or MeshesContainer) –
Examples
>>> from ansys.dpf import core as dpf >>> op = dpf.operators.result.cyclic_expanded_acceleration() >>> op.inputs.expanded_meshed_region.connect(my_expanded_meshed_region) >>> # or >>> op.inputs.expanded_meshed_region(my_expanded_meshed_region)
- property cyclic_support#
Allows to connect cyclic_support input to the operator.
- Parameters
my_cyclic_support (CyclicSupport) –
Examples
>>> from ansys.dpf import core as dpf >>> op = dpf.operators.result.cyclic_expanded_acceleration() >>> op.inputs.cyclic_support.connect(my_cyclic_support) >>> # or >>> op.inputs.cyclic_support(my_cyclic_support)
- property sectors_to_expand#
Allows to connect sectors_to_expand input to the operator.
Sectors to expand (start at 0), for multistage: use scopings container with ‘stage’ label.
- Parameters
my_sectors_to_expand (Scoping or ScopingsContainer) –
Examples
>>> from ansys.dpf import core as dpf >>> op = dpf.operators.result.cyclic_expanded_acceleration() >>> op.inputs.sectors_to_expand.connect(my_sectors_to_expand) >>> # or >>> op.inputs.sectors_to_expand(my_sectors_to_expand)
- property phi#
Allows to connect phi input to the operator.
Angle phi (default value 0.0)
- Parameters
my_phi (float) –
Examples
>>> from ansys.dpf import core as dpf >>> op = dpf.operators.result.cyclic_expanded_acceleration() >>> op.inputs.phi.connect(my_phi) >>> # or >>> op.inputs.phi(my_phi)
- 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, Field, FieldsContainer, Scoping,) –
- DataSources, MeshedRegion, ScopingsContainer, CyclicSupport,
…, Output, Outputs, Operator, os.PathLike
Input of the operator.
- class ansys.dpf.core.operators.result.cyclic_expanded_acceleration.OutputsCyclicExpandedAcceleration(op: ansys.dpf.core.dpf_operator.Operator)#
Intermediate class used to get outputs from cyclic_expanded_acceleration operator.
Examples
>>> from ansys.dpf import core as dpf >>> op = dpf.operators.result.cyclic_expanded_acceleration() >>> # Connect inputs : op.inputs. ... >>> result_fields_container = op.outputs.fields_container() >>> result_expanded_meshes = op.outputs.expanded_meshes()
- property fields_container#
Allows to get fields_container output of the operator
- Returns
my_fields_container
- Return type
Examples
>>> from ansys.dpf import core as dpf >>> op = dpf.operators.result.cyclic_expanded_acceleration() >>> # Connect inputs : op.inputs. ... >>> result_fields_container = op.outputs.fields_container()
- property expanded_meshes#
Allows to get expanded_meshes output of the operator
- Returns
my_expanded_meshes
- Return type
Examples
>>> from ansys.dpf import core as dpf >>> op = dpf.operators.result.cyclic_expanded_acceleration() >>> # Connect inputs : op.inputs. ... >>> result_expanded_meshes = op.outputs.expanded_meshes()