math:expansion psd

Version: 0.0.0

Description

Computes the PSD response for one-sigma solution.

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.

mode_shapes (Pin 0)

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

Fields container containing the mode shapes from modal analysis file: mode shapes for dynamic and pseudo-static displacements

static_shapes (Pin 1)

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

Fields container containing the static shapes (base excitations) from spectral analysis file

rel_rel_covar_matrix (Pin 2)

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

Fields container containing covariance matrices from a psd file: covariance matrix terms for displacement/velocity/acceleration mode-mode shapes

stat_stat_covar_matrix (Pin 3)

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

Fields container containing covariance matrices from a psd file: covariance matrix terms for displacement/velocity/acceleration static-static shapes

rel_stat_covar_matrix (Pin 4)

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

Fields container containing covariance matrices from a psd file: covariance matrix terms for displacement/velocity/acceleration mode-static shapes

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.

psd (Pin 0)

• Expected type(s): fields_container

PSD solution per label

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: math

Plugin: core

Scripting name: expansion_psd

Full name: math.expansion_psd

Internal name: expansion::psd

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.

#include "dpf_api.h"

ansys::dpf::Operator op("expansion::psd"); // operator instantiation
op.connect(0, my_mode_shapes);
op.connect(1, my_static_shapes);
op.connect(2, my_rel_rel_covar_matrix);
op.connect(3, my_stat_stat_covar_matrix);
op.connect(4, my_rel_stat_covar_matrix);
ansys::dpf::FieldsContainer my_psd = op.getOutput<ansys::dpf::FieldsContainer>(0);

import ansys.dpf.core as dpf

op = dpf.operators.math.expansion_psd() # operator instantiation
op.inputs.mode_shapes.connect(my_mode_shapes)
op.inputs.static_shapes.connect(my_static_shapes)
op.inputs.rel_rel_covar_matrix.connect(my_rel_rel_covar_matrix)
op.inputs.stat_stat_covar_matrix.connect(my_stat_stat_covar_matrix)
op.inputs.rel_stat_covar_matrix.connect(my_rel_stat_covar_matrix)
my_psd = op.outputs.psd()

import mech_dpf
import Ans.DataProcessing as dpf

op = dpf.operators.math.expansion_psd() # operator instantiation
op.inputs.mode_shapes.Connect(my_mode_shapes)
op.inputs.static_shapes.Connect(my_static_shapes)
op.inputs.rel_rel_covar_matrix.Connect(my_rel_rel_covar_matrix)
op.inputs.stat_stat_covar_matrix.Connect(my_stat_stat_covar_matrix)
op.inputs.rel_stat_covar_matrix.Connect(my_rel_stat_covar_matrix)
my_psd = op.outputs.psd.GetData()

Changelog

• Version 0.0.0: Initial release.