Assessing Modeling Parameters For Column Baseplates Using Genetic Algorithm

Limited research has been done towards the modeling of behavior of column base connections even though they are very common structural components. From that partial research analytical models have been developed; however, such computer simulations tend to have a rough match to the actual data. In this research we aim towards assessing baseplate modeling parameters for baseplate analytical models that are capable of capturing the behavior of such components in different loading regimes. The structural modeling software used is the Open System for Earthquake Engineering Simulation, OpenSees, and we use matlab for Genetic Algorithm, GA, and optimization. Using matlab we utilize a genetic algorithm module to calculate three baseplate modeling parameters. At this time, results show that the GA module can generate promising estimates of baseplate modeling parameters. The simplified baseplate model in OpenSees will help fit the experimental data provided by NEES to find the parameters of a bilinear material with Genetic Algorithm.