دوره 10، شماره 3 - ( 3-1399 )                   جلد 10 شماره 3 صفحات 479-451 | برگشت به فهرست نسخه ها

XML English Abstract 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. International Journal of Optimization in Civil Engineering 2020; 10 (3) :451-479
URL: http://ijoce.iust.ac.ir/article-1-446-fa.html
A PARTICLE SWARM OPTIMIZATION ALGORITHM TO SUGGEST FORMULAS FOR THE BEHAVIOUR OF THE RECYCLED MATERIAL REINFORCED CONCRETE BEAMS. عنوان نشریه. 1399; 10 (3) :451-479

URL: http://ijoce.iust.ac.ir/article-1-446-fa.html


چکیده:   (8661 مشاهده)
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.
متن کامل [PDF 1069 kb]   (3669 دریافت)    
نوع مطالعه: پژوهشي | موضوع مقاله: Applications
دریافت: 1399/3/20 | پذیرش: 1399/3/20 | انتشار: 1399/3/20

ارسال نظر درباره این مقاله : نام کاربری یا پست الکترونیک شما:
CAPTCHA

بازنشر اطلاعات
Creative Commons License این مقاله تحت شرایط Creative Commons Attribution-NonCommercial 4.0 International License قابل بازنشر است.

کلیه حقوق این وب سایت متعلق به دانشگاه علم و صنعت ایران می باشد.

طراحی و برنامه نویسی : یکتاوب افزار شرق

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

Designed & Developed by : Yektaweb