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 # result:von mises strains as mechanical workflow

 Last update: 31.07.2026 

**Version: 0.0.0**

## Description

Generates a workflow that computes the equivalent (Von Mises) elastic strains and averages it to the nodes (by default). For multibody simulations, averaging across bodies can either be activated or deactivated.

## 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 numberNameStatusExpected type(s)0[time\_scoping](#input_0)[`scoping`](../../core-concepts/dpf-types.md#scoping), [`vector<int32>`](../../core-concepts/dpf-types.md#standard-types)**1**[mesh\_scoping](#input_1)[`scoping`](../../core-concepts/dpf-types.md#scoping), [`scopings_container`](../../core-concepts/dpf-types.md#scopings-container)**3**[streams\_container](#input_3)[`streams_container`](../../core-concepts/dpf-types.md#streams-container)**4**[data\_sources](#input_4)Required[`data_sources`](../../core-concepts/dpf-types.md#data-sources)**7**[mesh](#input_7)[`abstract_meshed_region`](../../core-concepts/dpf-types.md#meshed-region), [`meshes_container`](../../core-concepts/dpf-types.md#meshes-container)**9**[requested\_location](#input_9)[`string`](../../core-concepts/dpf-types.md#standard-types)**14**[read\_cyclic](#input_14)[`bool`](../../core-concepts/dpf-types.md#standard-types)**200**[average\_across\_bodies](#input_200)[`bool`](../../core-concepts/dpf-types.md#standard-types)<a id="input_0"></a>

### time\_scoping (Pin 0)

- **Required:** No
- **Expected type(s):** [`scoping`](../../core-concepts/dpf-types.md#scoping), [`vector<int32>`](../../core-concepts/dpf-types.md#standard-types)

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.

<a id="input_1"></a>

### mesh\_scoping (Pin 1)

- **Required:** No
- **Expected type(s):** [`scoping`](../../core-concepts/dpf-types.md#scoping), [`scopings_container`](../../core-concepts/dpf-types.md#scopings-container)

nodes or elements scoping required in output.

<a id="input_3"></a>

### streams\_container (Pin 3)

- **Required:** No
- **Expected type(s):** [`streams_container`](../../core-concepts/dpf-types.md#streams-container)

result file container allowed to be kept open to cache data.

<a id="input_4"></a>

### data\_sources (Pin 4)

- **Required:** Yes
- **Expected type(s):** [`data_sources`](../../core-concepts/dpf-types.md#data-sources)

result file path container.

<a id="input_7"></a>

### mesh (Pin 7)

- **Required:** No
- **Expected type(s):** [`abstract_meshed_region`](../../core-concepts/dpf-types.md#meshed-region), [`meshes_container`](../../core-concepts/dpf-types.md#meshes-container)

prevents from reading the mesh in the results file.

<a id="input_9"></a>

### requested\_location (Pin 9)

- **Required:** No
- **Expected type(s):** [`string`](../../core-concepts/dpf-types.md#standard-types)

average the elemental nodal result to the requested location (default is nodal).

<a id="input_14"></a>

### read\_cyclic (Pin 14)

- **Required:** No
- **Expected type(s):** [`bool`](../../core-concepts/dpf-types.md#standard-types)

if true, cyclic expansion is done. If false, it's ignored..

<a id="input_200"></a>

### average\_across\_bodies (Pin 200)

- **Required:** No
- **Expected type(s):** [`bool`](../../core-concepts/dpf-types.md#standard-types)

for multibody simulations, the stresses are averaged across bodies if true or not if false (default).

## 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 numberNameExpected type(s)0[workflow](#output_0)[`workflow`](../../core-concepts/dpf-types.md#workflow)<a id="output_0"></a>

### workflow (Pin 0)

- **Expected type(s):** [`workflow`](../../core-concepts/dpf-types.md#workflow)

## Configurations

This operator supports [configuration options](../../core-concepts/operator-configurations.md) that modify its behavior.

### [mutex](../../core-concepts/operator-configurations.md#mutex)

- **Expected type(s):** [`bool`](../../core-concepts/dpf-types.md#standard-types)
- **Default value:** false

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

## Scripting

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

**Category**: result

**Plugin**: mechanical\_results

**Scripting name**: None

**Full name**: None

**Internal name**: strain\_eqv\_as\_mechanical\_workflow

**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++```cpp
#include "dpf_api.h"

ansys::dpf::Operator op("strain_eqv_as_mechanical_workflow"); // operator instantiation
op.connect(0, my_time_scoping);
op.connect(1, my_mesh_scoping);
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(14, my_read_cyclic);
op.connect(200, my_average_across_bodies);
ansys::dpf::Workflow my_workflow = op.getOutput<ansys::dpf::Workflow>(0);

```

CPython```python
import ansys.dpf.core as dpf

op = dpf.operators.result.None() # operator instantiation
op.inputs.time_scoping.connect(my_time_scoping)
op.inputs.mesh_scoping.connect(my_mesh_scoping)
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_cyclic.connect(my_read_cyclic)
op.inputs.average_across_bodies.connect(my_average_across_bodies)
my_workflow = op.outputs.workflow()

```

IPython```python
import mech_dpf
import Ans.DataProcessing as dpf

op = dpf.operators.result.None() # operator instantiation
op.inputs.time_scoping.Connect(my_time_scoping)
op.inputs.mesh_scoping.Connect(my_mesh_scoping)
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_cyclic.Connect(my_read_cyclic)
op.inputs.average_across_bodies.Connect(my_average_across_bodies)
my_workflow = op.outputs.workflow.GetData()

```

  
## Changelog

- Version 0.0.0: Initial release.