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

XML Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

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. IJOCE 2020; 10 (3) :451-479
URL: http://ijoce.iust.ac.ir/article-1-446-en.html
Abstract:   (10128 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.
Full-Text [PDF 1069 kb]   (4061 Downloads)    
Type of Study: Research | Subject: Applications
Received: 2020/06/9 | Accepted: 2020/06/9 | Published: 2020/06/9

Add your comments about this article : Your username or Email:
CAPTCHA

Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

© 2024 CC BY-NC 4.0 | Iran University of Science & Technology

Designed & Developed by : Yektaweb