Data-driven structural performance assessment of FRP-confined concrete under environmental exposure
Authors:
- Prashant KumarPKPrashant Kumar
- Aman KumarAKAman Kumar
- Moncef L. NehdiMoncef L. Nehdi
Open Access
- 3 February 2026
- journal article
- Published by Elsevier in Progress in Engineering Science
- Vol. 3 (1)
Abstract
No abstract availableThis publication has 51 references indexed in Scilit:
- Prediction of confined compressive strength of concrete column strengthened with FRCM compositesStructural Concrete, 2024
- Feature selection based on artificial bee colony and gradient boosting decision treeApplied Soft Computing, 2019
- Support Vector Regression Approach to Predict the Strength of FRP Confined ConcreteArabian Journal for Science and Engineering, 2016
- Evaluation of ultimate conditions of FRP-confined concrete columns using genetic programmingComputers & Structures, 2016
- Strength enhancement modeling of concrete cylinders confined with CFRP composites using artificial neural networksComposites Part B: Engineering, 2012
- Prediction of strength parameters of FRP-confined concreteComposites Part B: Engineering, 2012
- Neural network modeling of strength enhancement for CFRP confined concrete cylindersBuilding and Environment, 2008
- Behaviour of reinforced concrete rectangular columns strengthened using GFRPCement and Concrete Composites, 2007
- Stress–strain model for concrete confined by FRP compositesComposites Part B: Engineering, 2007
- Behavior of normal and high-strength concrete cylinders confined with E-glass/epoxy composite laminatesComposites Part B: Engineering, 2007