A Proposed Soft Computing Model for Ultimate Strength Estimation of FRP-Confined Concrete Cylinders
In this paper, the feed-forward backpropagation neural network (FFBPNN) is used to propose a new formulation for predicting the compressive strength of fiber-reinforced polymer (FRP)-confined concrete cylinders. A set of experimental data has been considered in the analysis. The data include informa...
Main Authors: | Reza Kamgar, Hosein Naderpour, Houman Ebrahimpour Komeleh, Anna Jakubczyk-Gałczyńska, Robert Jankowski |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-03-01
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Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/10/5/1769 |
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