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DPF Framework 2025 R2

invariant:von mises eqv (field)

Last update: 03.06.2026

Version: 0.0.0

Description

Computes the element-wise Von-Mises criteria on a tensor field.

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.

Pin number Name Status Expected type(s)
0 field Required field, fields_container
13 poisson_ratio Required double, int32

field (Pin 0)

field or fields container with only one field is expected

poisson_ratio (Pin 13)

Poisson ratio to be used in equivalent strain calculation.

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.

Pin number Name Expected type(s)
0 field field

field (Pin 0)

  • Expected type(s): field

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: invariant

Plugin: core

Scripting name: von_mises_eqv

Full name: invariant.von_mises_eqv

Internal name: eqv

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.

C++
#include "dpf_api.h"

ansys::dpf::Operator op("eqv"); // operator instantiation
op.connect(0, my_field);
op.connect(13, my_poisson_ratio);
ansys::dpf::Field my_field = op.getOutput<ansys::dpf::field>(0);

</ansys::dpf::field>

CPython
import ansys.dpf.core as dpf

op = dpf.operators.invariant.von_mises_eqv() # operator instantiation
op.inputs.field.connect(my_field)
op.inputs.poisson_ratio.connect(my_poisson_ratio)
my_field = op.outputs.field()
IPython
import mech_dpf
import Ans.DataProcessing as dpf

op = dpf.operators.invariant.von_mises_eqv() # operator instantiation
op.inputs.field.Connect(my_field)
op.inputs.poisson_ratio.Connect(my_poisson_ratio)
my_field = op.outputs.field.GetData()

Changelog

  • Version 0.0.0: Initial release.

Connect with Ansys