Optimum seismic design of reinforced concrete frame structures

Sadjad Gharehbaghi , Abbas Moustafa , 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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