Signal Metamodel of Optimal Prognosis

This tutorial allows you to complete signal analysis and signal metamodels with Statistics on Structures.

Task Description

This tutorial demonstrates how to do the following:

  • Use the results of a sensitivity analysis of a wedge splitting test with signal-type (xy-data) responses

  • Create a signal Metamodel of Optimal Prognosis (MOP) node

  • Perform calibration based on the MOP solver

Prerequisites

This tutorial requires optiSLang 3D Post-Processing (oSP3D) version 2021 R1 or later and a valid oSP3D; license.

Preparation

Before you start the tutorial, download the signal_mop zip file from here , and extract it to your working directory.

Tutorial Steps

Creating a New Project

  1. Start optiSLang.

  2. Create a new empty project.

  3. This tutorial provides instructions for manually connecting input and output slots. To display the slots in the node flyouts, from the menu bar select View > Slot flyout view mode > Full.

Creating the MOP Node

  1. Under Modules, expand Analysis and Metamodelling.

  2. Drag a MOP node onto the Scenery pane and let it drop.

  3. Double-click the MOP node.

  4. To the right of the Absolute path field, click the orange folder.

  5. Browse to the signal_mop folder and select Sensitivity.omdb.

  6. Click Open.

  7. Select the Use advanced settings check box.

  8. In the Advanced Settings tab, expand Models and Signal MOP.

  9. Select the True check box.

  10. To close the dialog box, click OK.

Saving and Running the Project

  1. To save the project, click  .

  2. Browse to the location to save the project and type a project name in the File name field.

  3. Click Save.

  4. To run the project, click  .

Viewing the MOP Postprocessing

  1. Right-click the MOP node and select Show Postprocessing from the context menu.

  2. In the Visuals pane, search for and select a signal plot.

  3. From the Signal list, select signal_SoS.

    The F-CoP values (in percentages) are displayed.

Calibrating the Model

  1. Under Modules, expand Systems and Plain systems.

  2. Drag a Parametric System node onto the Scenery pane.

  3. Under Modules, expand Process chain elements and Integrations.

  4. Drag a MOP Solver node onto the Parametric System.

  5. Select the Receive design from parent system and Send design back to parent system check boxes.

  6. Click OK.

  7. Hover over the right side of the MOP node.

  8. Click OMDBPath and drag it onto IMDBPath on the left side of the MOP Solver node.

  9. Double-click the MOP Solver node.

  10. Verify that the parameter and response registration is complete as shown in the following image.

  11. Click OK.

  12. Double-click the Parametric System.

  13. Verify that the parameter properties are set as shown in the following image.

Adding an ETK Node

  1. Under Modules, expand Process chain elements and Output nodes.

  2. Drag a ETK node onto the output connection of the MOP Solver node.

  3. Double-click the ETK node.

  4. Click Browse file.

  5. In the Choose a file to open dialog box, browse to the signal_mop folder and select wedge_splitting_signal_reference.csv.

  6. Click Open.

  7. From the File format list, select Text file auto-parametrization and click OK.

  8. Select Absolute path as the search mode.

  9. Drag wedge_splitting_signal_reference to the Responses pane to register it as a response.

  10. Click OK.

  11. To save the project, click  .

  12. To run the project, click  .

Completing the Optimization Wizard

  1. From the Wizards pane, drag the Optimization wizard to the Parametric System and let it drop.

  2. Do not adjust the current parameter properties.

  3. Click Next.

  4. Click Objective.

  5. In the Criteria pane, double-click the Expression cell and type euklidnorm(signal - interpolate(wedge_splitting_signal_reference, extract(signal,0))).

  6. Click Next.

  7. Click Manual optimizer selection.

  8. Select Evolutionary Algorithm (EA) as the optimization method.

  9. Click Next.

  10. Do not adjust the default additional options.

  11. Click Finish.

  12. Click OMDBPath and drag it onto IMDBPath on the left side of the Evolutionary Algorithm MOP Solver node.

Viewing the Optimization Results

  1. To save the project, click  .

  2. To run the project, click  .

    The optimization results are displayed.