Segregated
The Segregated node () is an attribute that handles parameters for a segregated solution approach. This attribute makes it possible to split the solution process into substeps. Each substep uses a damped version of Newton’s method.
The attribute can be used together with the Stationary Solver and Time-Dependent Solver nodes. An alternative to the segregated approach is given by the coupled solver, which is handled with the Fully Coupled attribute node. Although several Fully Coupled and Segregated attribute nodes can be attached to an operation node, only one can be active at any given time.
To add substeps to a segregated iteration, right-click the Segregated node. One segregated iteration consists of executing each active Segregated Step in the order shown in the model tree.
For more information about the settings below, see:
General
Select a Termination technique to control how the segregated iterations are terminated. Select:
Tolerance (the default) to terminate the segregated iterations when the estimated relative error is smaller than a specified tolerance.
Iterations or tolerance to terminate the segregated iterations when the estimated tolerance is smaller than a specified tolerance or after a specified number of iterations, whichever comes first.
Iterations to terminate the segregated iterations after a fixed number of iterations.
Then, based on the selected Termination technique, use the following settings:
If Tolerance is selected, enter a Maximum number of iterations to limit the number of segregated iterations (default: 10). When the maximum number of iterations has been performed, the segregated method is terminated even if the tolerance is not fulfilled.
If Tolerance or Iterations or tolerance is selected, enter a Tolerance factor to modify the tolerance used for termination of the segregated iterations. The actual tolerance used is this factor times the value specified in the Relative tolerance field in the General sections of the Stationary Solver and Time-Dependent Solver nodes.
If Tolerance or Iterations or tolerance is selected, choose a Termination criterion to control how the Newton iterations are terminated for stationary problems. Select:
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Solution to terminate the Newton iterations on a solution-based estimated relative error.
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Residual to terminate the Newton iterations on a residual-based estimated relative error.
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Solution or residual to terminate the Newton iterations on the minimum of the solution-based and residual-based estimated relative errors. Then enter a scalar Residual factor (default: 1000) that multiplies the residual error estimate.
If Iterations or Iterations or tolerance is selected, enter a Number of iterations to specify a fixed number of iterations to perform. The default is 1.
With a Time-Dependent Solver, also select the Limit on nonlinear convergence rate check box to force the nonlinear solver to terminate as soon as the convergence is estimated to be too slow. Enter a limit on the convergence rate in the accompanying field.
You can select one of the following methods for stabilization and acceleration of the nonlinear convergence from the Stabilization and acceleration list:
None (the default) to not use any stabilization or acceleration method.
Pseudo time-stepping to use a pseudo time-stepping method to stabilize convergence toward steady state for a stationary solver. Pseudo time stepping is not available for time-dependent solvers. See Pseudo Time Stepping for more information. For the pseudo time-stepping method, specify the following regulator parameters:
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Initial CFL number. The default is 5.
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PID regulator-Proportional. The default is 0.65.
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PID regulator-Derivative. The default is 0.05.
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PID regulator-Integrative. The default is 0.05.
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Target error estimate. The default is 0.1.
Anderson acceleration, which is a nonlinear convergence acceleration method that uses information from previous Newton iterates to accelerate convergence. The Anderson acceleration method is primarily intended for acceleration of nonlinear iterations in transport problems involving, for example, crosswind diffusion stabilization. You can control the number of iteration increments to store using the Dimension of iteration space field (default: 10).
Results While Solving
See Results While Solving in the Common Study Step Settings section. Also see Getting Results While Solving.