math:modal superposition
Last update: 31.07.2026Version: 0.0.0
Description
Computes the solution in the time/frequency space from a modal solution by multiplying a modal basis (in 0)by the solution in this modal space (coefficients for each mode for each time/frequency) (in 1).
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 | modal_basis | Required | fields_container |
| 1 | solution_in_modal_space | Required | fields_container |
| 2 | incremental_fc | fields_container |
|
| 3 | time_scoping | scoping, vector<int32> |
|
| 4 | mesh_scoping | scoping, scopings_container |
modal_basis (Pin 0)
- Required: Yes
- Expected type(s):
fields_container
One field by mode with each field representing a mode shape on nodes or elements.
solution_in_modal_space (Pin 1)
- Required: Yes
- Expected type(s):
fields_container
One field by time/frequency with each field having a ponderating coefficient for each mode of the modal_basis pin.
incremental_fc (Pin 2)
- Required: No
- Expected type(s):
fields_container
If a non-empty fields container is introduced, it is modified, and sent to the output, to add the contribution of the requested expansion. The label spaces produced from the multiplication must be the same as the incremental ones.
time_scoping (Pin 3)
- Required: No
- Expected type(s):
scoping,vector<int32>
Compute the result on a subset of the time frequency domain defined in the solution_in_modal_space fields container.
mesh_scoping (Pin 4)
- Required: No
- Expected type(s):
scoping,scopings_container
Compute the result on a subset of the space domain defined in the modal_basis fields container.
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 | fields_container | fields_container |
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
read_inputs_in_parallel
- Expected type(s):
bool - Default value: false
If this option is set to true, the operator's inputs will be evaluated 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: math
Plugin: core
Scripting name: modal_superposition
Full name: math.modal_superposition
Internal name: expansion::modal_superposition
License: any_dpf_supported_increments
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("expansion::modal_superposition"); // operator instantiation
op.connect(0, my_modal_basis);
op.connect(1, my_solution_in_modal_space);
op.connect(2, my_incremental_fc);
op.connect(3, my_time_scoping);
op.connect(4, my_mesh_scoping);
ansys::dpf::FieldsContainer my_fields_container = op.getOutput<ansys::dpf::FieldsContainer>(0);
CPython
import ansys.dpf.core as dpf
op = dpf.operators.math.modal_superposition() # operator instantiation
op.inputs.modal_basis.connect(my_modal_basis)
op.inputs.solution_in_modal_space.connect(my_solution_in_modal_space)
op.inputs.incremental_fc.connect(my_incremental_fc)
op.inputs.time_scoping.connect(my_time_scoping)
op.inputs.mesh_scoping.connect(my_mesh_scoping)
my_fields_container = op.outputs.fields_container()
IPython
import mech_dpf
import Ans.DataProcessing as dpf
op = dpf.operators.math.modal_superposition() # operator instantiation
op.inputs.modal_basis.Connect(my_modal_basis)
op.inputs.solution_in_modal_space.Connect(my_solution_in_modal_space)
op.inputs.incremental_fc.Connect(my_incremental_fc)
op.inputs.time_scoping.Connect(my_time_scoping)
op.inputs.mesh_scoping.Connect(my_mesh_scoping)
my_fields_container = op.outputs.fields_container.GetData()
Changelog
- Version 0.0.0: Initial release.