دوره 8، شماره 3 - ( 7-1397 )                   جلد 8 شماره 3 صفحات 453-467 | برگشت به فهرست نسخه ها

XML English Abstract Print


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

Suguna K, Raghunath P N, Karthick J, Uma Maheswari R. ANN BASED MODELING FOR HIGH STRENGTH CONCRETE BEAMS WITH SURFACE MOUNTED FRP LAMINATES. International Journal of Optimization in Civil Engineering. 2018; 8 (3) :453-467
URL: http://ijoce.iust.ac.ir/article-1-355-fa.html
ANN BASED MODELING FOR HIGH STRENGTH CONCRETE BEAMS WITH SURFACE MOUNTED FRP LAMINATES. دانشگاه علم و صنعت ایران. 1397; 8 (3) :453-467

URL: http://ijoce.iust.ac.ir/article-1-355-fa.html


چکیده:   (1235 مشاهده)
This study focuses on using an artificial neural network (ANN) based model for predicting the performance of high strength concrete (HSC) beams strengthened with surface mounted FRP laminates. Eight input parameters such as geometrical properties of the beam and mechanical properties of FRP laminates were considered for this study. Back propagation network with Lavenberg-Marquardt algorithm has been chosen for the proposed network, which has been implemented using the programming package MATLAB. In the present study, comparison has been made between the experimental results and those predicted through neural network modeling. The amount of MAPE and RMSE were predicted and were found to be acceptable range. The statistical indicators such as correlation co-efficient (r) and co-efficient of determination (R2) were also predicted to estimate the accuracy of results obtained through ANN modeling. The results predicted through ANN modeling exhibit good correlation with the experimental results.
متن کامل [PDF 1344 kb]   (493 دریافت)    
نوع مطالعه: پژوهشي | موضوع مقاله: Optimal design
دریافت: ۱۳۹۶/۹/۱۱ | پذیرش: ۱۳۹۶/۹/۱۱ | انتشار: ۱۳۹۶/۹/۱۱

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

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

طراحی و برنامه نویسی : یکتاوب افزار شرق

© 2018 All Rights Reserved | Iran University of Science & Technology

Designed & Developed by : Yektaweb