All coupled analyses have settings that enable you to control various aspects of the analysis. Under the root level of the data model, there are six main containers that control these settings:
- Library
Contains object containers and global objects that can be referenced elsewhere in the data model.
Each object container includes settings to define global expressions, expression functions, or transformation objects.
- CouplingParticipant
Contains participant objects.
For each participant, define a name, regions from and to which data can be transferred, the input and output data transfer variables available for each region, the update frequency, and execution controls.
- AnalysisControl
Contains settings that define the coupled analysis and control its behavior.
Define the type of analysis and controls for the analysis type, partitioning algorithm, simultaneous participant updates, and global stabilization.
- CouplingInterface
Contains interface objects.
Define coupling interfaces, including data transfer details and mapping controls.
- SolutionControl
Contains settings that define how solutions are executed.
Define solution-level details such as the solution duration, time step size, and number of coupling iterations per step.
- OutputControl
Contains settings that determine what coupled analysis output is produced and control the frequency with which coupling output is generated.
For a comprehensive listing of all data model containers and settings, see the Data Model Settings section of the System Coupling Settings and Commands Reference manual.