An ANN-based approach for estimating load capacity and strain in FRP confined concrete columns

An ANN-based approach for estimating load capacity and strain in FRP confined concrete columns

This study introduces an innovative hybrid predictive model utilizing artificial neural network (ANN) techniques to accurately forecast the load-carrying capacity (Pcc) and confined strain (εcc) of Polyvinyl Chloride – Carbon Fiber Reinforced Plastic (PVC-CFRP) confined concrete columns under axial...

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Bibliographic Details
Main Authors: Li Shang, Haytham F. Isleem, Saad A. Yehia, Rupesh Kumar Tipu, Khalil El Hindi
Format: Article
Language:English
Published: Elsevier 2025-09-01
Series:Egyptian Informatics Journal
Subjects:
PVC-CFRP tube
Load-carrying capacity
Confined concrete column
Machine learning Models
NN model
Online Access:http://www.sciencedirect.com/science/article/pii/S1110866525001318
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http://www.sciencedirect.com/science/article/pii/S1110866525001318

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