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Anticorrosion performance ofAnthocleista djalonensison steel-reinforced concrete in a sulphuric-acid medium

Okeniyi, Joshua Olusegun and Loto, C. A. and Popoola, Abimbola Patricia Idowu (2016) Anticorrosion performance ofAnthocleista djalonensison steel-reinforced concrete in a sulphuric-acid medium. HKIE Transactions. pp. 1-12. ISSN 1023-697X (In Press)

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Abstract

This paper employs electrochemical monitoring methods for studying the anticorrosion performance of the leaf-extract admixture of Anthocleista djalonensis (A. djalonensis) on steel-reinforced concrete immersed in the aggressive medium of a sulphuric-acid (H2SO4) test solution. The electrochemical monitoring methods employed include corrosion potential, corrosion current and corrosion rate. These were used for testing the corrosion responses of specimens of duplicated steel-reinforced concretes in the industrial/microbial simulating test environment. Analyses of these test measurements, as per American Society for Testing and Materials (ASTM) G16-95 R04, shows that the corrosion rate correlates directly with the leaf-extract admixture concentration and inverse functions of noise resistance; the ratio of the standard deviation of the corrosion potential to that of the corrosion current. It is concluded that 0.4167% A. djalonensis (per weight of cement) is the optimum modelling efficiency, from the ranked predictions of the correlation fitting model, by having an inhibition efficiency of η = 96.11 ± 1.14% (predicted) or 89.84 ± 2.46% (experimental) in the medium. Fittings of the predicted and experimental data show that they both follow the Frumkin adsorption isotherm model with a coefficient of determination r2 = 96.17% (predicted) and r2 = 89.88% (experimental). The results of the experimental and predicted model agree in support of using A. djalonensis as an eco-friendly inhibitor of corrosion in the reinforcing steel in concrete designed for the industrial/microbial service environment.

Item Type: Article
Uncontrolled Keywords: Corrosion of steel reinforcement, microbial/industrial simulating environment, eco-friendly inhibitor, statistical noise resistance, correlation fitting model, inhibition efficiency, adsorption isotherm
Subjects: Q Science > Q Science (General)
Q Science > QA Mathematics
Q Science > QC Physics
Q Science > QD Chemistry
S Agriculture > S Agriculture (General)
T Technology > T Technology (General)
T Technology > TA Engineering (General). Civil engineering (General)
T Technology > TD Environmental technology. Sanitary engineering
T Technology > TH Building construction
T Technology > TJ Mechanical engineering and machinery
T Technology > TP Chemical technology
Divisions: Faculty of Engineering, Science and Mathematics > School of Chemistry
Faculty of Engineering, Science and Mathematics > School of Civil Engineering and the Environment
Faculty of Engineering, Science and Mathematics > School of Engineering Sciences
Faculty of Engineering, Science and Mathematics > School of Mathematics
Faculty of Engineering, Science and Mathematics > School of Physics
Depositing User: Dr Joshua Olusegun Okeniyi
Date Deposited: 30 Aug 2016 11:34
Last Modified: 31 Oct 2018 10:56
URI: http://eprints.covenantuniversity.edu.ng/id/eprint/6978

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