Database and optimized machine learning prediction of the deteriorated response of corroded reinforced concrete beams-Reference-Cited by-同舟云学术

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Database and optimized machine learning prediction of the deteriorated response of corroded reinforced concrete beams

Published:2024-10 Issue: Volume:19 Page:100527
ISSN:2666-1659
Container-title:Developments in the Built Environment
language:en
Short-container-title:Developments in the Built Environment

Author:

Matthews Benjamin^ORCID,Palermo Alessandro,Logan Tom,Scott Allan

Funder

University of Canterbury College of Engineering

Publisher

Elsevier BV

Reference101 articles.

1. Building Code Requirements for Structural Concrete (ACI 318-19) and Commentary,2019

2. Influence of corrosion and cracking on bond behavior and strength of reinforced concrete members;Al-Sulaimani;Structural Journal,1990

3. Prediction of the flexural behavior of corroded concrete beams using combined method;Alabduljabbar,2020

4. Ensemble tree-based approach towards flexural strength prediction of FRP reinforced concrete beams;Amin;Polymers,2022

5. Prediction of shear strength of corrosion reinforced concrete beams using Artificial Neural Network;Asteris;Journal of Science and Transport Technology,2022

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