Explainable machine learning: Compressive strength prediction of FRP-confined concrete column-Reference-Cited by-同舟云学术

Explainable machine learning: Compressive strength prediction of FRP-confined concrete column

Published:2024-06 Issue: Volume:39 Page:108883
ISSN:2352-4928
Container-title:Materials Today Communications
language:en
Short-container-title:Materials Today Communications

Author:

Hu Tianyu,Zhang Hong,Cheng Cheng,Li Houxuan,Zhou Jianting

Funder

National Natural Science Foundation of China

Chongqing Natural Science Foundation

Publisher

Elsevier BV

Reference120 articles.

1. RC Beams Strengthened in Shear With FRP-Reinforced UHPC overlay: An Experimental and Numerical Study;Nadir,2023

2. Strengthening of RC beams in shear with novel near-surface mounted (NSM) U-shaped fiber-reinforced polymer (FRP) composites;Jedrzejko;Eng. Struct.,2023

3. Machine-learning-based models versus design-oriented models for predicting the axial compressive load of FRP-confined rectangular RC columns;Sayed;Eng. Struct.,2023

4. FRP-confined concrete columns with a stress reduction-recovery behavior: a state-of-the-art review, design recommendations and model assessments;Liao;Compos. Struct.,2023

5. Punching shear strength and deformation for FRP-reinforced concrete slabs without shear reinforcements;Deifalla;Case Stud. Constr. Mater.,2022

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