Optimum seismic design of reinforced concrete frame structures

Sadjad Gharehbaghi, Abbas Moustafa and Eysa Salajegheh

Abstract

This paper proposes an automated procedure for optimum seismic design of reinforced concrete (RC) frame structures. This procedure combines a smart pre-processing using a Tree Classification Method (TCM) and a nonlinear optimization technique. First, the TCM automatically creates sections database and assigns sections to structural members. Subsequently, a real valued model of Particle Swarm Optimization (PSO) algorithm is employed in solving the optimization problem. Numerical examples on design optimization of three low- to high-rise RC frame structures under earthquake loads are presented with and without considering strong column-weak beam (SCWB) constraint. Results demonstrate the effectiveness of the TCMin seismic design optimization of the structures.

Key Words

automated optimum seismic design; reinforced concrete structure; tree classification method; construction cost; strong column-weak beam; particle swarm optimization

Address

Sadjad Gharehbaghi:Department of Civil Engineering, Behbahan Khatam Alanbia University of Technology, Behbahan, Iran Abbas Moustafa: Department of Civil Engineering, Minia University, Minia 61111, Egypt Eysa Salajegheh: Department of Civil Engineering, Shahid Bahonar University of Kerman, Kerman, Iran

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