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International Journal of Optimaization in Civil Engineering، جلد ۸، شماره ۳، صفحات ۴۵۳-۴۶۷
عنوان فارسی
چکیده فارسی مقاله
کلیدواژه‌های فارسی مقاله
عنوان انگلیسی ANN BASED MODELING FOR HIGH STRENGTH CONCRETE BEAMS WITH SURFACE MOUNTED FRP LAMINATES
چکیده انگلیسی مقاله 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.
کلیدواژه‌های انگلیسی مقاله ANN, FRP, beams, high strength concrete, static.
نویسندگان مقاله k suguna | k. suguna


p n raghunath | p n raghunath


j karthick | j. karthick


r uma maheswari | r uma maheswari


نشانی اینترنتی http://ijoce.iust.ac.ir/browse.php?a_code=A-10-66-195&slc_lang=en&sid=en
فایل مقاله اشکال در دسترسی به فایل - ./files/site1/rds_journals/426/article-426-559449.pdf
کد مقاله (doi)
زبان مقاله منتشر شده en
موضوعات مقاله منتشر شده Optimal design
نوع مقاله منتشر شده پژوهشی
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