Use a Model Reduction study node () to create a reduced-order model (ROM) based on a time-dependent or frequency-domain simulation (see Reduced-Order Modeling). Reduced-order models are usually thought of as computationally inexpensive mathematical representations that provide the ability to run faster simulations using a small model that captures the behavior of the original model. Constructing the reduced-order models can be computationally expensive as it requires accumulating a large number of responses to input excitations (modes). The creation of a reduced-order model can typically be divided into two steps: production of training data and model building. The resulting model can then be used for repeated simulations. The output from the training study at the specified study step is used as the source for training data (for the modal solver this corresponds to eigenvectors).

Click the Compute button () (or press F8) at the top of the Settings window to produce an instance of the reduced model under Global Definitions>Reduced Models. When an instance has been created, you can also click the Update Solution button ().

The Settings window contains the following sections:

From the Method list, choose one of the following model-reduction methods:

From the Training study list, choose an existing study for the basis functions (training data) or choose None. The study must contain an eigenvalue solver.

From the Defined by study step list, choose Automatic (the default) to use the last applicable study step in the study, or select any of the applicable study steps (such as Eigenvalue).

From the Compute list, choose Initially (the default) to use the initially computed eigenvalue solution, or choose Always to always compute the eigenvalue solution. The default setting is computationally efficient but may not be valid if you have made changes to the model that affect the eigenvalue solution.

From the Unreduced model study list, choose the study that solves the unreduced model (for example, a time-dependent study). By default, the last enabled study step or study reference that is compatible with the selected method, if any, is used as the definition of the unreduced model.

From the Defined by study step list, select any of the applicable study steps (such as Time Dependent).

If you want to run a reduced model simulation, select the Reduced model simulation check box. For the Modal method, you can then also select a compatible unit from the Time unit list and enter a list of Times for the simulation. For the AWE method, you select a compatible unit from the Frequency unit list and enter a list of Frequencies for the simulation. The frequency range is used for the reduced-order model even if the simulation is turned off.

The Create reduced model check box is selected by default. From the Reduced model list, select an existing and compatible Reduced Model node (under Global Definitions>Reduced Models), or select New to create a new Reduced Model node. The reduced model simulation can be performed with the reduced model to produce a solution as an output from the study, possibly with a modified time or frequency list compared to the study step defining the unreduced model.

In this section, you define the model control inputs. The Model Control Inputs table consists of three columns: Reduced model input, Use, and Training expression. The Reduced model input column shows all the variables defined in the Global Reduced Model Inputs node under Global Definitions. When the variable is added to the Global Reduced Model Inputs it is automatically added to the Model Control Inputs table. The Use column controls which of the defined variables that should be used. In the Training expression column, enter a training expression that is compatible with the training study step.

In the Outputs section, add outputs for the reduced-order model. You can add output variables by clicking the Add Expression () and Replace Expression () buttons to search through a list of predefined expressions. If you do not add a name in the Variable column, the output is assigned a default variable name in the Reduced Model node. For the AWE method, you can also add a scaling factor for each output in the Scale column and select the check box (selected by default) in the Use for adaptation column to include it in a mesh adaptation.

This section is available for model reduction in the frequency domain only (AWE selected from the Method list).

See Results While Solving in the Common Study Step Settings section. Also see Getting Results While Solving.