- variablesA subset of the variables that this time integrator should be applied to
C++ Type:std::vector<VariableName>
Unit:(no unit assumed)
Controllable:No
Description:A subset of the variables that this time integrator should be applied to
Ralston
Ralston's time integration method.
Ralston's time integration method is second-order accurate in time. It is a two-step explicit method and a special case of the 2nd-order Runge-Kutta method. It is obtained through an error minimization process and has been shown to outperform other 2nd-order explicit Runge-Kutta methods, see Ralston (1962).
Description
With , the vector of nonlinear variables, and , a nonlinear operator, we write the PDE of interest as:
Using for the current time step and for the previous step, Ralston's method can be written:
This method can be expressed as a Runge-Kutta method with the following Butcher Tableau:
All kernels except time-(derivative)-kernels should have the parameter implicit=false
to use this time integrator.
ExplicitRK2-derived TimeIntegrators ExplicitMidpoint, Heun, Ralston) and other multistage TimeIntegrators are known not to work with Materials/AuxKernels that accumulate 'state' and should be used with caution.
Input Parameters
- control_tagsAdds user-defined labels for accessing object parameters via control logic.
C++ Type:std::vector<std::string>
Unit:(no unit assumed)
Controllable:No
Description:Adds user-defined labels for accessing object parameters via control logic.
- enableTrueSet the enabled status of the MooseObject.
Default:True
C++ Type:bool
Unit:(no unit assumed)
Controllable:No
Description:Set the enabled status of the MooseObject.
Advanced Parameters
References
- Anthony Ralston.
Runge-kutta methods with minimum error bounds.
Math. Comput., 80:431–437, 1962.
doi:10.1090/S0025-5718-1962-0150954-0.[BibTeX]