result:equivalent stress parameter

Version: 0.0.0

Description

Read/compute element nodal equivalent stress parameter by calling the readers defined by the datasources.

• The 'requested_location' and 'mesh_scoping' inputs are processed to see if they need scoping transposition or result averaging. The resulting output fields have a 'Nodal', 'ElementalNodal' or 'Elemental' location.
• Once the need for averaging has been detected, the behavior of the combined connection of the 'split_shells' and 'shell_layer' pins is:

• The available 'elshape' values are:

Supported file types

This operator supports the following keys (file formats) for each listed namespace (plugin/solver):

• mapdl: rst, rstp

Inputs

This table lists the input pins for this operator. Input pins define the data that the operator requires to perform its operation. Some inputs are required, while others are optional and provide additional configuration. Each parameter is detailed in the sections that follow the table.

time_scoping (Pin 0)

• Required: No
• Expected type(s): scoping, int32, vector<int32>, double, field, vector<double>

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. To get all data for all time/freq sets, connect an int with value -1.

mesh_scoping (Pin 1)

• Required: No
• Expected type(s): scopings_container, scoping

nodes or elements scoping required in output. The output fields will be scoped on these node or element IDs. To figure out the ordering of the fields data, look at their scoping IDs as they might not be ordered as the input scoping was. The scoping's location indicates whether nodes or elements are asked for. Using scopings container allows you to split the result fields container into domains

fields_container (Pin 2)

• Required: No
• Expected type(s): fields_container

Fields container already allocated modified inplace

streams_container (Pin 3)

• Required: No
• Expected type(s): streams_container

result file container allowed to be kept open to cache data

data_sources (Pin 4)

• Required: Yes
• Expected type(s): data_sources

result file path container, used if no streams are set

mesh (Pin 7)

• Required: No
• Expected type(s): abstract_meshed_region, meshes_container

prevents from reading the mesh in the result files

requested_location (Pin 9)

• Required: No
• Expected type(s): string

requested location Nodal, Elemental or ElementalNodal

read_beams (Pin 22)

• Required: No
• Expected type(s): bool

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

split_shells (Pin 26)

• Required: No
• Expected type(s): bool

If true, this pin forces the results to be split by element shape, indicated by the presence of the 'elshape' label in the output. If false, the results for all elements shapes are combined. Default value is false if averaging is not required and true if averaging is required.

shell_layer (Pin 27)

• Required: No
• Expected type(s): int32

If connected, this pin allows you to extract the result only on the selected shell layer(s). The available values are: 0: Top, 1: Bottom, 2: TopBottom, 3: Mid, 4: TopBottomMid.

extend_to_mid_nodes (Pin 28)

• Required: No
• Expected type(s): bool

Compute mid nodes (when available) by averaging the neighbour corner nodes. Default: True

Outputs

This table lists the output pins for this operator. Output pins provide the results of the operator's computation and can be connected to inputs of other operators or retrieved for further processing. Each output is detailed in the sections that follow the table.

fields_container (Pin 0)

• Expected type(s): fields_container

Configurations

This operator supports configuration options that modify its behavior.

mutex

• Expected type(s): bool
• Default value: false

If this option is set to true, the shared memory is prevented from being simultaneously accessed by multiple threads.

num_threads

• Expected type(s): int32
• Default value: 0

Number of threads to use to run in parallel

run_in_parallel

• Expected type(s): bool
• Default value: true

Loops are allowed to run in parallel if the value of this config is set to true.

Scripting

This operator can be accessed through scripting interfaces using these identifiers.

Category: result

Plugin: core

Scripting name: eqv_stress_parameter

Full name: result.eqv_stress_parameter

Internal name: ENL_SEPL

License: None

Examples

These examples demonstrate how to use this operator in different programming environments. Each example shows how to instantiate the operator, connect the required inputs, and retrieve the output.

#include "dpf_api.h"

ansys::dpf::Operator op("ENL_SEPL"); // operator instantiation
op.connect(0, my_time_scoping);
op.connect(1, my_mesh_scoping);
op.connect(2, my_fields_container);
op.connect(3, my_streams_container);
op.connect(4, my_data_sources);
op.connect(7, my_mesh);
op.connect(9, my_requested_location);
op.connect(22, my_read_beams);
op.connect(26, my_split_shells);
op.connect(27, my_shell_layer);
op.connect(28, my_extend_to_mid_nodes);
ansys::dpf::FieldsContainer my_fields_container = op.getOutput<ansys::dpf::FieldsContainer>(0);

import ansys.dpf.core as dpf

op = dpf.operators.result.eqv_stress_parameter() # operator instantiation
op.inputs.time_scoping.connect(my_time_scoping)
op.inputs.mesh_scoping.connect(my_mesh_scoping)
op.inputs.fields_container.connect(my_fields_container)
op.inputs.streams_container.connect(my_streams_container)
op.inputs.data_sources.connect(my_data_sources)
op.inputs.mesh.connect(my_mesh)
op.inputs.requested_location.connect(my_requested_location)
op.inputs.read_beams.connect(my_read_beams)
op.inputs.split_shells.connect(my_split_shells)
op.inputs.shell_layer.connect(my_shell_layer)
op.inputs.extend_to_mid_nodes.connect(my_extend_to_mid_nodes)
my_fields_container = op.outputs.fields_container()

import mech_dpf
import Ans.DataProcessing as dpf

op = dpf.operators.result.eqv_stress_parameter() # operator instantiation
op.inputs.time_scoping.Connect(my_time_scoping)
op.inputs.mesh_scoping.Connect(my_mesh_scoping)
op.inputs.fields_container.Connect(my_fields_container)
op.inputs.streams_container.Connect(my_streams_container)
op.inputs.data_sources.Connect(my_data_sources)
op.inputs.mesh.Connect(my_mesh)
op.inputs.requested_location.Connect(my_requested_location)
op.inputs.read_beams.Connect(my_read_beams)
op.inputs.split_shells.Connect(my_split_shells)
op.inputs.shell_layer.Connect(my_shell_layer)
op.inputs.extend_to_mid_nodes.Connect(my_extend_to_mid_nodes)
my_fields_container = op.outputs.fields_container.GetData()

Changelog

• Version 0.0.0: Initial release.