دوره 6، شماره 3 - ( 6-1395 )                   جلد 6 شماره 3 صفحات 363-349 | برگشت به فهرست نسخه ها

XML English Abstract Print


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

Moradi M, Bagherieh A R, Esfahani M R. RELATIONSHIP OF TENSILE STRENGTH OF STEEL FIBER REINFORCED CONCRETE BASED ON GENETIC PROGRAMMING. IJOCE 2016; 6 (3) :349-363
URL: http://ijoce.iust.ac.ir/article-1-255-fa.html
RELATIONSHIP OF TENSILE STRENGTH OF STEEL FIBER REINFORCED CONCRETE BASED ON GENETIC PROGRAMMING. عنوان نشریه. 1395; 6 (3) :349-363

URL: http://ijoce.iust.ac.ir/article-1-255-fa.html


چکیده:   (15300 مشاهده)

Estimating mechanical properties of concrete before designing reinforced concrete structures is among the design requirements. Steel fibers have a considerable effect on the mechanical properties of reinforced concrete, particularly its tensile strength. So far, numerous studies have been done to estimate the relationship between tensile strength of steel fiber reinforced concrete (SFRC) and other SFRC characteristics using regression analyses. But, in order to determine appropriate relations according to these methods, we need to estimate the basic structure of relations. Genetic programming (GP) method has solved this problem. In this study, the results of 367 laboratory specimens collected from the literature are used to present some relations to predict the tensile strength of SFRC using GP. The proposed relations are more accurate than the relations which have been presented thus far.

متن کامل [PDF 893 kb]   (6250 دریافت)    
نوع مطالعه: پژوهشي | موضوع مقاله: Optimal design
دریافت: 1394/10/19 | پذیرش: 1394/10/19 | انتشار: 1394/10/19

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