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  • Documentation

    How to Check Convergence of a CFD Simulation?

    In this short article, you will learn to check convergence and its assessment in the SimScale Workbench.

    1. Check the Convergence Plots

    The convergence plots section should be the first starting point to check the convergence of your simulation. These plots will help you to understand the global and local imbalances in a CFD simulation.

    global convergence indicators of a cfd analysis in simscale
    Figure 1: Convergence plots for a CFD simulation run. This should be your first stop for checking convergence.

    1.1 Check the Residuals

    In an iterative solution, residuals are the solution imbalances. For numerical accuracy, you should expect residuals to be as small as possible. Usually, residuals below 1e-3 is a good starting point to move to the next check.

    residual plot in simscale, the pressure, velocity, and turbulence quantities
    Figure 2: Residual plot showing the residuals for velocity, pressure, and turbulence parameters. Residuals should be as low as possible with 1e-3 being a good starting point.

    The residual plot also gives an idea regarding the stability of a solution. Observing sudden spikes shows that the solution encountered problems. The results of such simulations are not reliable.

    comparison of a good and bad residual plots
    Figure 3: An example for how a good and bad residual plots look

    1.2 Check the Convergence Plots for Boundary Conditions

    The convergence plots for boundary conditions are grouped as Domain, Inlets, Outlets, and Walls. Each convergence plot represents the average of each variable for every iteration, normalized to a range from 0 to 1. If your residual plot shows a bad convergence and you wonder why, you can check convergence plots for the domain, inlets, outlets, and walls. Let’s check the following example:

    domain, wall, inlet, and outlet convergence plots help to identify the source of instability issues in simscale cfd simulations
    Figure 4: An example for the convergence plots at inlets, outlets, walls and global domain

    The first picture presents convergence for the whole domain. U_x (velocity in x-axis) seems slightly fluctuating. T (temperature) is stable but keeps reducing. This does not show any stability issue but only shows that the temperature inside the domain is not converged yet. Consequently, more iterations are needed. Other parameters look stable.

    Walls and Inlets convergence plots also look good. Small fluctuations at the inlets can be ignored.

    Outlets convergence plot shows some serious issues. High fluctuations are observed in pressure and velocity values. This is a clear indicator that boundary conditions or the mesh quality might be responsible for numerical issues at the outlets.

    Let’s check the Outlets convergence plot of a successful simulation. The example below shows that the flow at the outlets was initially unstable, but after approximately 800 iterations, the stability is achieved:

    outlet type convergence plot shows that the flow is stable after eight hundred iterations
    Figure 5: An example for how a stable flow at the outlets can be represented by convergence plot

    2. Check the Result Control Items

    In an iterative solution, the calculation process starts with initial estimations of quantities (pressure, velocity, temperature, etc.). In every iteration, quantities are updated with respect to the previous iteration results. In a converged steady state solution, one should expect to see that those quantities come to a level and don’t change anymore.

    In SimScale, the best way to check the convergence of a quantity of interest is to use result control items. You can see more information about the result control on this page.

    The following graph belongs to a pressure drop simulation. The quantity of interest for this simulation is the pressure difference. First, the simulation was performed for 300 iterations, and area average pressure values at the inlet and outlet were re calculated:

    area average pressure plot of an unconverged simulation
    Figure 6: Area average pressure results for inlet (black) and outlet (blue) show an unconverged simulation.

    While the pressure on one surface is stable at 0 \(Pa\) (outlet), the other one is close to 150 \(Pa\) and yet is not converged. The result cannot be trusted and further iterations are needed until the quantity is converged.

    Just click on the simulation run. You will see the “Continue to run” icon. In this example, we ran the simulation until 1000 iterations.

    continue the run feature in simscale platform
    Figure 7: Continue the run feature to further continue the simulation.
    area average pressure plot of a converged simulation
    Figure 8: Area average pressure results for inlet (black) shows that the simulation converged after 500 iterations

    Results show that the inlet pressure value is converged around 500 iterations. Both convergence plot, as well as the plot for the quantity of interest, are converged. Finally, you can monitor the solution fields to check if the results look realistic.

    Last updated: November 10th, 2020