Hi everyone,
I'm wondering if it is possible to have a model influence the time-stepping algorithm directly? I know that certain things will cause time-stepping issues and I would like to 'inform' the time-stepping algorithm about them so that the steps can be adjusted accordingly.
I know that the time-stepping is adjusted automatically however there is no way for it to effectively predict highly non-linear events. I would like to be able to use results from the model (global values such as time or from coupling variables) to influence the time-stepping. That way I can use what I know will happen in conjunction with the time-dependent solver.
I tried using a time dependent expression in the maximum time-step size input but that is not allowed.
Is the only way to do this using the time-descrete solver or by adding specific time-steps?
Thanks for your help!
-Andrew
I'm wondering if it is possible to have a model influence the time-stepping algorithm directly? I know that certain things will cause time-stepping issues and I would like to 'inform' the time-stepping algorithm about them so that the steps can be adjusted accordingly.
I know that the time-stepping is adjusted automatically however there is no way for it to effectively predict highly non-linear events. I would like to be able to use results from the model (global values such as time or from coupling variables) to influence the time-stepping. That way I can use what I know will happen in conjunction with the time-dependent solver.
I tried using a time dependent expression in the maximum time-step size input but that is not allowed.
Is the only way to do this using the time-descrete solver or by adding specific time-steps?
Thanks for your help!
-Andrew