Performance-Based Optimization of 2D Reinforced Concrete Moment Frames through Pushover Analysis and ABC Optimization Algorithm

Résumé : Conducting nonlinear pushover analysis typically demands intricate and resource-intensive computational attempts, and involves a process that is highly iterative and necessary for satisfying design-defined and also requirements of codes in performance-based design. A computer-based technique is presented for reinforced concrete (RC) buildings in this study, incorporating optimization numerical approaches, techniques of optimality criteria and pushover analysis to seismic design automatically the pushover drift performance. The optimal design based on the performance of concrete beams, columns and shear walls in concrete moment frames is presented using the artificial bee colony optimization algorithm. The design is applied to three frames such as a 4-story, an 8-story and a 12-story. These structures are designed to minimize the overall weight while satisfying the levels of performance include Life Safety (L-S), Collapse Prevention (C-P), and Immediate Occupancy (I-O). To achieve this goal, three main steps are performed. In the first step, optimization codes are implemented in MATLAB software, and the OpenSees software is used for nonlinear static analysis of the structure. By solving the optimization problem, several top designs are obtained for each frame and shear wall. Pushover analysis is performed considering the constraints of relative displacement and plastic hinge rotation based on the nonlinear provisions of FEMA356 code to achieve each levels of performance. Following this, convergence, pushover, and drift history curves are plotted for each frame, and selecting the best design for each frame ultimately occurs. The results demonstrate the algorithm's performance is desirable for the structure to achieve selecting the best design and lower weight.