Volume 10, Issue 3 (6-2020)                   2020, 10(3): 451-479 | Back to browse issues page

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Rezaiee-Pajand M, Rezaiee-Pajand A, Karimipour A, Mohebbi Najm Abad J. A PARTICLE SWARM OPTIMIZATION ALGORITHM TO SUGGEST FORMULAS FOR THE BEHAVIOUR OF THE RECYCLED MATERIAL REINFORCED CONCRETE BEAMS. International Journal of Optimization in Civil Engineering 2020; 10 (3) :451-479
URL: http://ijoce.iust.ac.ir/article-1-446-en.html
Abstract:   (8655 Views)
Reducing waste material plays an essential role for engineers in the current world. Nowadays, recycled materials are going to be used in order to manufacture concrete beams. Previous studies concluded that the currently proposed formulas to predict the flexural and shear behavior of the reinforced concrete beams were not appropriate for those manufactured by recycled materials. This study aims to employ the Particle Swarm Optimization Algorithm to suggest the flexural and shear performance of recycled material reinforced concrete beams. For this purpose, the previous experimental outcomes are utilized, and new equations are established to anticipate both flexural and shear behavior of the recycled material concrete beams. Consequently, all findings are compared with those achieved experimentally. The attained significances of this study show that the proposed formulas have high accuracy for the experimental data.
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Type of Study: Research | Subject: Applications
Received: 2020/06/9 | Accepted: 2020/06/9 | Published: 2020/06/9

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