Anticorrosion performance of Anthocleista djalonensis on steel-reinforced concrete in a sulphuric-acid medium. Issue 3 (2nd July 2016)

• Record Type: Journal Article
• Authors: Okeniyi, Joshua Olusegun; Loto, Cleophas Akintoye; Popoola, Abimbola Patricia Idowu
• Is Part Of: Transactions. Volume 23:Issue 3(2016)
• Page Start: 138
• Page End: 149
• Publication Date: 2016-07-02
• Subjects: Corrosion of steel reinforcement -- microbial/industrial simulating environment -- eco-friendly inhibitor -- statistical noise resistance -- correlation fitting model -- inhibition efficiency -- adsorption isotherm; Engineering -- Periodicals; Engineering -- China -- Hong Kong -- Periodicals; Engineering; China -- Hong Kong; Periodicals; 620
• DOI: 10.1080/1023697X.2016.1201437
• Languages: English
• ISSNs: 1023-697X

Abstract

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 (H2 SO4 ) 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 r 2 = 96.17% (predicted) and r 2 = 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.