Smart Automatic Configurator for Fast and Robust Fluid Structure Interaction Co-Simulations

Mesh-based parallel Code Coupling Interface (MpCCI) is software to couple multiphysics simulations such as Fluid-Structure Interaction (FSI) problems. The different choices of MpCCI parameters affect the accuracy, robustness and run-time of the co-simulations. MpCCI configurator tool is used to set parameters of MpCCI automatically using machine leaning methods. In order to tune the tool itself, the machine learning features should be selected wisely for the training and prediction steps. Therefore, the sensitivity of the features is analysed and the most important ones are considered as features for the tool. In this work, it is investigated how effective the tool is for industrial FSI applications. The run-time obtained by the tool is compared to the run-time corresponding to the default configuration. Additionally, it is checked whether the suggested configuration converges to accurate results.