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Computers and Concrete Volume 17, Number 6, June 2016 , pages 761-786 DOI: https://doi.org/10.12989/cac.2016.17.6.761 |
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Optimum seismic design of reinforced concrete frame structures |
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Sadjad Gharehbaghi, Abbas Moustafa and Eysa Salajegheh
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| 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 | ||