averaging:elemental to nodal (field)
Last update: 31.07.2026Version: 0.0.0
Description
Transforms an Elemental field to a Nodal field. The result is computed on a given node's scoping.
-
For a finite element mesh, the value on a node is the average of the values of the neighbour elements.
-
For a volume finite volume mesh, the agorithm is :
- For each node, compute interpolation weights for the cells connected to it based on the Frink's Laplacian method.
- If the determinant of the I matrix is zero, switch to an inverse distance weighted average.
- If not, compute the Frink weights and apply the Holmes' weight clip.
- If the clipping produces a large overshoot, inverse volume weighted average is used..
-
For a face finite volume mesh inverse distance weighted average is used.
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 |
| 1 | mesh_scoping | scoping |
|
| 2 | force_averaging | int32 |
|
| 200 | algorithm | int32 |
field (Pin 0)
- Required: Yes
- Expected type(s):
field,fields_container
field or fields container with only one field is expected
mesh_scoping (Pin 1)
- Required: No
- Expected type(s):
scoping
force_averaging (Pin 2)
- Required: No
- Expected type(s):
int32
Averaging on nodes is used if this pin is set to 1 (default is 1 for integrated results and 0 for discrete ones).
algorithm (Pin 200)
- Required: No
- Expected type(s):
int32
Forces the usage of algorithm 1, 2 or 3 (default is chosen based on the type of mesh).
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.
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: averaging
Plugin: core
Scripting name: elemental_to_nodal
Full name: averaging.elemental_to_nodal
Internal name: elemental_to_nodal
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("elemental_to_nodal"); // operator instantiation
op.connect(0, my_field);
op.connect(1, my_mesh_scoping);
op.connect(2, my_force_averaging);
op.connect(200, my_algorithm);
ansys::dpf::Field my_field = op.getOutput<ansys::dpf::Field>(0);
CPython
import ansys.dpf.core as dpf
op = dpf.operators.averaging.elemental_to_nodal() # operator instantiation
op.inputs.field.connect(my_field)
op.inputs.mesh_scoping.connect(my_mesh_scoping)
op.inputs.force_averaging.connect(my_force_averaging)
op.inputs.algorithm.connect(my_algorithm)
my_field = op.outputs.field()
IPython
import mech_dpf
import Ans.DataProcessing as dpf
op = dpf.operators.averaging.elemental_to_nodal() # operator instantiation
op.inputs.field.Connect(my_field)
op.inputs.mesh_scoping.Connect(my_mesh_scoping)
op.inputs.force_averaging.Connect(my_force_averaging)
op.inputs.algorithm.Connect(my_algorithm)
my_field = op.outputs.field.GetData()
Changelog
- Version 0.0.0: Initial release.