euler_load_buckling#

Autogenerated DPF operator classes.

class ansys.dpf.core.operators.result.euler_load_buckling.euler_load_buckling(field_beam_end_condition=None, field_beam_moment_inertia=None, field_beam_young_modulus=None, field_beam_length=None, config=None, server=None)#

Computing Euler’s Critical Load. Formula: Ncr = n*E*I*pi*pi /(L*L)

Parameters:

  • field_beam_end_condition (DataSources or Field) – This pin contains file csv or field of beam’s end condition added by the user. if there’s no file added, it would take value of all beam’s end condition as 1.

  • field_beam_moment_inertia (Field) – Field of beam’s moment inertia

  • field_beam_young_modulus (Field) – Field of beam’s young modulus

  • field_beam_length (Field) – Field of beam’s length

Examples

>>> from ansys.dpf import core as dpf

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

>>> # Make input connections
>>> my_field_beam_end_condition = dpf.DataSources()
>>> op.inputs.field_beam_end_condition.connect(my_field_beam_end_condition)
>>> my_field_beam_moment_inertia = dpf.Field()
>>> op.inputs.field_beam_moment_inertia.connect(my_field_beam_moment_inertia)
>>> my_field_beam_young_modulus = dpf.Field()
>>> op.inputs.field_beam_young_modulus.connect(my_field_beam_young_modulus)
>>> my_field_beam_length = dpf.Field()
>>> op.inputs.field_beam_length.connect(my_field_beam_length)

>>> # Instantiate operator and connect inputs in one line
>>> op = dpf.operators.result.euler_load_buckling(
...     field_beam_end_condition=my_field_beam_end_condition,
...     field_beam_moment_inertia=my_field_beam_moment_inertia,
...     field_beam_young_modulus=my_field_beam_young_modulus,
...     field_beam_length=my_field_beam_length,
... )

>>> # Get output data
>>> result_field_euler_critical_load = op.outputs.field_euler_critical_load()
>>> result_field_euler_critical_load_yy = op.outputs.field_euler_critical_load_yy()
>>> result_field_euler_critical_load_zz = op.outputs.field_euler_critical_load_zz()
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:

InputsEulerLoadBuckling

property outputs#

Enables to get outputs of the operator by evaluating it

Returns:

outputs

Return type:

OutputsEulerLoadBuckling

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.euler_load_buckling.InputsEulerLoadBuckling(op: ansys.dpf.core.dpf_operator.Operator)#

Intermediate class used to connect user inputs to euler_load_buckling operator.

Examples

>>> from ansys.dpf import core as dpf
>>> op = dpf.operators.result.euler_load_buckling()
>>> my_field_beam_end_condition = dpf.DataSources()
>>> op.inputs.field_beam_end_condition.connect(my_field_beam_end_condition)
>>> my_field_beam_moment_inertia = dpf.Field()
>>> op.inputs.field_beam_moment_inertia.connect(my_field_beam_moment_inertia)
>>> my_field_beam_young_modulus = dpf.Field()
>>> op.inputs.field_beam_young_modulus.connect(my_field_beam_young_modulus)
>>> my_field_beam_length = dpf.Field()
>>> op.inputs.field_beam_length.connect(my_field_beam_length)
property field_beam_end_condition#

Allows to connect field_beam_end_condition input to the operator.

This pin contains file csv or field of beam’s end condition added by the user. if there’s no file added, it would take value of all beam’s end condition as 1.

Parameters:

my_field_beam_end_condition (DataSources or Field) –

Examples

>>> from ansys.dpf import core as dpf
>>> op = dpf.operators.result.euler_load_buckling()
>>> op.inputs.field_beam_end_condition.connect(my_field_beam_end_condition)
>>> # or
>>> op.inputs.field_beam_end_condition(my_field_beam_end_condition)
property field_beam_moment_inertia#

Allows to connect field_beam_moment_inertia input to the operator.

Field of beam’s moment inertia

Parameters:

my_field_beam_moment_inertia (Field) –

Examples

>>> from ansys.dpf import core as dpf
>>> op = dpf.operators.result.euler_load_buckling()
>>> op.inputs.field_beam_moment_inertia.connect(my_field_beam_moment_inertia)
>>> # or
>>> op.inputs.field_beam_moment_inertia(my_field_beam_moment_inertia)
property field_beam_young_modulus#

Allows to connect field_beam_young_modulus input to the operator.

Field of beam’s young modulus

Parameters:

my_field_beam_young_modulus (Field) –

Examples

>>> from ansys.dpf import core as dpf
>>> op = dpf.operators.result.euler_load_buckling()
>>> op.inputs.field_beam_young_modulus.connect(my_field_beam_young_modulus)
>>> # or
>>> op.inputs.field_beam_young_modulus(my_field_beam_young_modulus)
property field_beam_length#

Allows to connect field_beam_length input to the operator.

Field of beam’s length

Parameters:

my_field_beam_length (Field) –

Examples

>>> from ansys.dpf import core as dpf
>>> op = dpf.operators.result.euler_load_buckling()
>>> op.inputs.field_beam_length.connect(my_field_beam_length)
>>> # or
>>> op.inputs.field_beam_length(my_field_beam_length)
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.euler_load_buckling.OutputsEulerLoadBuckling(op: ansys.dpf.core.dpf_operator.Operator)#

Intermediate class used to get outputs from euler_load_buckling operator.

Examples

>>> from ansys.dpf import core as dpf
>>> op = dpf.operators.result.euler_load_buckling()
>>> # Connect inputs : op.inputs. ...
>>> result_field_euler_critical_load = op.outputs.field_euler_critical_load()
>>> result_field_euler_critical_load_yy = op.outputs.field_euler_critical_load_yy()
>>> result_field_euler_critical_load_zz = op.outputs.field_euler_critical_load_zz()
property field_euler_critical_load#

Allows to get field_euler_critical_load output of the operator

Returns:

my_field_euler_critical_load

Return type:

Field

Examples

>>> from ansys.dpf import core as dpf
>>> op = dpf.operators.result.euler_load_buckling()
>>> # Connect inputs : op.inputs. ...
>>> result_field_euler_critical_load = op.outputs.field_euler_critical_load()
property field_euler_critical_load_yy#

Allows to get field_euler_critical_load_yy output of the operator

Returns:

my_field_euler_critical_load_yy

Return type:

Field

Examples

>>> from ansys.dpf import core as dpf
>>> op = dpf.operators.result.euler_load_buckling()
>>> # Connect inputs : op.inputs. ...
>>> result_field_euler_critical_load_yy = op.outputs.field_euler_critical_load_yy()
property field_euler_critical_load_zz#

Allows to get field_euler_critical_load_zz output of the operator

Returns:

my_field_euler_critical_load_zz

Return type:

Field

Examples

>>> from ansys.dpf import core as dpf
>>> op = dpf.operators.result.euler_load_buckling()
>>> # Connect inputs : op.inputs. ...
>>> result_field_euler_critical_load_zz = op.outputs.field_euler_critical_load_zz()