An interpretable machine learning-based model for shear resistance prediction of CFRP-strengthened RC beams using experimental and synthetic dataset-Reference-Cited by-同舟云学术

An interpretable machine learning-based model for shear resistance prediction of CFRP-strengthened RC beams using experimental and synthetic dataset

Published:2025-01 Issue: Volume:351 Page:118632
ISSN:0263-8223
Container-title:Composite Structures
language:en
Short-container-title:Composite Structures

Author:

Mohammadi Amirhossein^ORCID,Barros Joaquim A.O.,Sena-Cruz José

Funder

Foundation for Science and Technology

Regional Fund for Science and Technology

Publisher

Elsevier BV

Reference74 articles.

1. fib Bulletin 90. Externally Applied FRP Reinforcement for Concrete Structures. Technical Report. 2019, doi:10.35789/fib.BULL.0090.

2. ACI PRC 440.2- Design and Construction of Externally Bonded Fiber-Reinforced Polymer (FRP) Systems for Strengthening Concrete Structures—Guide; 2023; ISBN 9781641952330.

3. Shear Strengthening of RC Beams with NSM CFRP Laminates: Experimental Research and Analytical Formulation;Dias;Compos Struct,2013

4. Shear Strengthening of RC Beams with EB FRP: Influencing Factors and Conceptual Debonding Model;Mofidi;J Compos Constr,2011

5. A New Model for Predicting the Shear Strength of RC Beams Strengthened with Externally Bonded FRP Sheets;Mohammadi;Compos Struct,2023

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