Example case to test individual solvers

This example shows how the separate solvers or their cases in the respective working directories can be tested individually using test_single_solver as coupling component. For more information refer to coupled_solvers.

Coupling algorithm

The type is set to coupled_solvers.test_single_solver and an additional required dictionary test_settings is added. All other parameters in the JSON file, including the settings dictionary, can be set to the values that will be used in the actual coupled simulation. The settings dictionary is used to look up delta_t, timestep_start, save_results and name if not provided in test_settings. The other dictionaries are not used: no predictor,convergence_criterion or mapper are used.

Solvers

If you run this case as is, the Fluent case and solver will be tested, as the solver_index is set to 0 in test_settings. In that case the Abaqus settings won't be used. The Abaqus case can easily be tested by changing this value to 1, then the Fluent settings will not be used. The index refers to the index of the respective solver in the solver_wrappers list in the JSON file.

Dummy solver

Even though the presence of dummy_solver.py with a test class is not strictly required, it can be very valuable because it allows to have a non-zero input. The file included in this case provides an example. It contains, among others, SimpleTest, TransientTest and InterpolatedData to illustrate how variables can be defined based on undeformed coordinates (x, y, z) and time step (n). Note that the number of classes defined is not restricted. Also note that the __init__() method can be used to avoid repeating the same calculations multiple times. The name of the class that one wants to use should be specified in the JSON file. In this example the TransientTest is used. Each class contains function definitions with a pre-formatted name calculate_<variable>(x,y,z,n), with <variable> being the variable(s) required by the tested solver, e.g. displacement, pressure or traction. How these variables are defined inside these methods, is up to the user. However, the methods need to return the right format: a 3-element list or numpy array for vector variables and a 1-element list or numpy array for scalar variables.