Robert Koslover
Certified Consultant
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Posted:
1 year ago
16 août 2023, 09:26 UTC−4
Like you said, the "convergence" plot is simply showing the reciprocal of the time step size. Depending on your solver settings and the nature of your problem, this may or may not change from one time step to another. In configurations where the time step size is allowed to vary (which is the usual default), if you observe a tendency toward endlessly decreasing step sizes vs. time, then this generally implies the existence of undesirable numerical issues. If you look at the solution log, you can learn more about the seriousness of the errors that are causing the time-stepper to attempt to use shorter time steps (to address its difficulties). Modifying your geometry, mesh, solver settings, boundary and/or initial conditions, discretization, etc., can all impact success (or failure) of time-domain models to complete the calculations. Always prepare and solve simple problems first -- then work your way toward the more complicated problems of interest to you.
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Scientific Applications & Research Associates (SARA) Inc.
www.comsol.com/partners-consultants/certified-consultants/sara
Like you said, the "convergence" plot is simply showing the reciprocal of the time step size. Depending on your solver settings and the nature of your problem, this may or may not change from one time step to another. In configurations where the time step size is allowed to vary (which is the usual default), if you observe a tendency toward endlessly decreasing step sizes vs. time, then this generally implies the existence of undesirable numerical issues. If you look at the solution log, you can learn more about the seriousness of the errors that are causing the time-stepper to attempt to use shorter time steps (to address its difficulties). Modifying your geometry, mesh, solver settings, boundary and/or initial conditions, discretization, etc., can all impact success (or failure) of time-domain models to complete the calculations. Always prepare and solve simple problems first -- then work your way toward the more complicated problems of interest to you.