Explainable extreme gradient boosting tree-based prediction of load-carrying capacity of FRP-RC columns-Reference-Cited by-同舟云学术

Explainable extreme gradient boosting tree-based prediction of load-carrying capacity of FRP-RC columns

Published:2021-10 Issue: Volume:245 Page:112836
ISSN:0141-0296
Container-title:Engineering Structures
language:en
Short-container-title:Engineering Structures

Author:

Bakouregui Abdoulaye Sanni,Mohamed Hamdy M.,Yahia Ammar,Benmokrane Brahim

Publisher

Elsevier BV

Subject

Civil and Structural Engineering

Reference80 articles.

1. Proposed Slenderness Limit for Glass Fiber-Reinforced Polymer-Reinforced Concrete Columns Based on Experiments and Buckling Analysis;Abdelazim;SJ,2020

2. Strength and Axial Behavior of Circular Concrete Columns Reinforced with CFRP Bars and Spirals;Afifi;J Compos Constr,2014

3. Effect of Glass Fiber-Reinforced Polymer Reinforcement Ratio on Axial-Flexural Strength of Reinforced Concrete Columns;Guérin;ACI Struct J,2018

4. Assessment of Design Guidelines of Concrete Columns Reinforced with Glass Fiber-Reinforced Polymer Bars;Hadhood;SJ,2019

5. Experimental Investigations on Circular Concrete Columns Reinforced with GFRP Bars and Helices under Different Loading Conditions;Hadi;J Compos Constr,2016

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