Constitutive Model Characterization of the RC Columns Using Energy Terms

The accuracy level of predicting the hysteretic response of structural members is crucial in energy-based design procedures. Probabilistic methodologies are generally implemented to consider the uncertainties related to demand and capacity-based parameters in structural analyses. Accordingly, implementing the large variability on critical parameters that affect the accuracy level of predicted response is still a challenging issue. This proceeding focuses on an improved calibration methodology proposed to select the optimal analytical modeling parameters that takes into account the widely-used modeling techniques. The input data used for the calibration procedure is compiled from quasi-static experiments conducted on reinforced concrete column members exist in the literature. The finite element models of 62 test units are established to predict the energy dissipation characteristics by utilizing a set of modeling assumptions. Here, the optimal ranges of critical analytical model parameters are evaluated to increase the accuracy level in predicting the target energy dissipation capacity of a member. A comparison between the predicted responses for default and the calibrated model parameters is revealed. Results provide a basis for an efficient calibration methodology to get more accurate capacity predictions. Since the predictions for the damage level of structural members is directly related to the accuracy level of an established analytical model, this attempt is expected to have a considerable impact on the energy-based design of structural members.