Automatic Calibration of Constitutive Models in STKO Pre-Processor

STKO was recently presented by some of the authors as an innovative pre- and post-processor for OpenSEES motivated by the lack of suitable tools for the simulation of real scale complex structures that require a high volume of data for visualization. One of the most interesting features of STKO is its Python-based scripting interface that allows customization and extension of both the pre- and post-processor modules. The main aim of this work is to show the suitability of the scripting interface of the pre-processor by implementing a set of tools to support the user in handling and improving constitutive laws available in OpenSEES. A first tool deals with the automatic calibration of constitutive laws starting from available experimental data by means of optimization algorithms. The second tool focuses on the confinement of concrete. Starting from the definition of a constitutive law for unconfined concrete and from the section geometry, it computes the parameters of the confined model. Finally, some examples demonstrate the usefulness of these tools for the analysis of RC structures.