Artificial neural network algorithms to predict the bond strength of reinforced concrete: Coupled effect of corrosion, concrete cover, and compressive strength-Reference-Cited by-同舟云学术

Artificial neural network algorithms to predict the bond strength of reinforced concrete: Coupled effect of corrosion, concrete cover, and compressive strength

Published:2022-10 Issue: Volume:350 Page:128896
ISSN:0950-0618
Container-title:Construction and Building Materials
language:en
Short-container-title:Construction and Building Materials

Author:

Owusu-Danquah J.S.,Bseiso Abdallah,Allena Srinivas,Duffy Stephen F.

Publisher

Elsevier BV

Subject

General Materials Science,Building and Construction,Civil and Structural Engineering

Reference43 articles.

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2. Variation and degradation of steel and concrete bond performance with corroded stirrups;Zhou;Constr. Build. Mater.,2017

3. Degradation of steel-to-concrete bond due to corrosion;Jiang;Constr. Build. Mater.,2018

4. Bond between deformed reinforcement and normal and high-strength concrete with and without fibers;Dancygier;Mater. Struct.,2010

5. Steel–concrete bond strength of lightweight self-consolidating concrete;Lachemi;Mater. Struct.,2009

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