Automatic Minimization of the Drift Performance of RC 3D Irregular Buildings Using Genetic Algorithm

Abstract

This study introduces the application of genetic algorithms for the optimal design of the seismic torsional drift performance of three-dimensional reinforced concrete buildings. Attempts have been made to achieve an optimal automatic design of the torsional drift of the storeys of reinforced concrete buildings with plan irregularities to build torsional balanced structures. The storey torsional drift response generated by static and dynamic loads can be clearly expressed in terms of vertical structure elements’ sizing design variables. Two examples are provided to demonstrate the efficiency and practicability of the proposed optimum design approach. The performance of the structures was assessed as per the procedure prescribed in modern seismic code languages. Mathematical and finite element modelling were used to perform seismic analysis on buildings. MATLAB® programming was used as a solution to the sizing optimization problem. The results confirmed the proposed genetic algorithm’s ability to find efficient optimum solutions to three-dimensional reinforced concrete structures through the problem of size optimization.