کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
818793 906537 2012 12 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Prediction of strength parameters of FRP-confined concrete
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مهندسی (عمومی)
پیش نمایش صفحه اول مقاله
Prediction of strength parameters of FRP-confined concrete
چکیده انگلیسی

This research deals with the prediction of compressive strength and crushing strain of FRP-confined concrete using neural networks and regression models. Basic information on neural networks and the types of neural networks most suitable for the analysis of experimental results are given. A set of experimental data, covering a large range of parameters, for the training and testing of neural networks is used. The prediction models based on neural network are presented. The influence of raw and the non-dimensional group of variables on compressive strength and crushing strain of FRP-confined concrete is studied through sensitivity analysis, which provided a basis for the development of a new regression based model. The neural networks based model gave high prediction accuracy and the results demonstrated that the use of neural networks in assessing the compressive strength and crushing strain of FRP-confined concrete is both practical and beneficial.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Composites Part B: Engineering - Volume 43, Issue 2, March 2012, Pages 228–239
نویسندگان
, , , ,