Experimental testing and predictive machine learning to determine the mechanical characteristics of corroded reinforcing steel-Reference-Cited by-同舟云学术

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Experimental testing and predictive machine learning to determine the mechanical characteristics of corroded reinforcing steel

Published:2024-08 Issue: Volume:438 Page:137023
ISSN:0950-0618
Container-title:Construction and Building Materials
language:en
Short-container-title:Construction and Building Materials

Author:

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

Publisher

Elsevier BV

Reference78 articles.

1. Tuutti, K. (1982). Corrosion of steel in concrete. Retrieved from Cement- och betonginst. website: 〈http://urn.kb.se/resolve?urn=urn:nbn:se:ri:diva-3051〉.

2. Effect of corrosion on ductility of reinforcing bars;Du;Mag. Concr. Res.,2005

3. Tensile behavior of naturally and artificially corroded steel bars;Ou;Constr. Build. Mater.,2016

4. Corrosion effects on the mechanical properties of reinforcing steel bars. Fatigue and σ–ε behavior;Fernandez;Constr. Build. Mater.,2015

5. Degradation relationships for the mechanical properties of corroded steel rebars;Imperatore;Constr. Build. Mater.,2017

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Database and optimized machine learning prediction of the deteriorated response of corroded reinforced concrete beams;Developments in the Built Environment;2024-10

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