Analysis of inhibition of concrete steel-rebar corrosion by Na2Cr2O7 concentrations: Implications for conflicting reports on inhibitor effectiveness

Okeniyi, Joshua Olusegun; Oladele, Isaac Oluwaseun; Ambrose, Idemudia Joshua; Okpala, Stanley Okechukwu; Omoniyi, Oluwafemi Michael; Loto, C. A.; Popoola, A. P. I.

doi:10.1007/s11771-013-1898-8

Cited by 40 publications

(23 citation statements)

References 56 publications

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“…The expression for estimating the Normal mean, µ, and the Normal standard deviation, σ, is well known. However, estimation of the Weibull shape (k) and scale (c) parameters, required for obtaining the Weibull mean, µ W , and standard deviation, σ W , employed the combined fixed point iterative-Aitken ∆ 2 procedures [4] for solving the maximum likelihood equations:…”

Section: Statistical Analysis Of Measured Corrosion Test-datamentioning

confidence: 99%

“…Normally, steel reinforcement (steel-rebar) embedment in concrete is protected by a layer of thin oxide film in the highly alkaline concrete pore at pH > 12 [1,[4][5][6]. However, aggressive acidifying agents of the environment lower pH in concrete, thereby breaking the passive oxide layer, and render concrete steel-rebar susceptible to corrosion degradation.…”

Section: Introductionmentioning

confidence: 99%

“…Acidic sulphate from these sources attacks concrete, forms volume expansive products and an electrochemical cell of corroding steel-reinforcement that could eventually culminate, if unchecked, in the collapse of the steel-reinforced concrete structure [3,5,11]. In many studies, the use of corrosion inhibitors as admixtures in concrete has been identified as an easy and effective technique for mitigating corrosion degradation of steel reinforced concrete in acidic sulphate environment [4,[8][9]13]. However, the chromate and nitrite based compounds that had been found as effective inhibitors of steel-rebar corrosion in these studies suffer the setbacks of limitation and restriction on the usage of the substances due to their toxicity and environmental hazardousness [14][15][16].…”

Section: Introductionmentioning

confidence: 99%

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Electrochemical Performance of Phyllanthus Muellerianus on the Corrosion of Concrete Steel-reinforcement in Industrial/Microbial Simulating-environment

Okeniyi¹,

Loto²,

Popoola³

2014

Port. Electrochim. Acta

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Electrochemical monitoring techniques were employed in this study to assess anticorrosion performance of Phyllanthus muellerianus leaf-extract on concrete steelreinforcement in 0.5 M H 2 SO 4 , used for simulating industrial/microbial environment. For this, steel-reinforced concretes admixed with different concentrations of the natural plant leaf-extract were partially immersed in the acidic test-solution and subjected to electrochemical monitoring of corrosion potential, corrosion current and corrosion rate. Test responses analysed as per ASTM G16-95 R04, showed that the corrosion rate correlated, r = 84.93%, ANOVA p-value = 0.0403, with the leaf-extract concentration admixed in concrete and the ratio of the standard deviation of potential to the standard deviation of current. These identified the 0.3333% Phyllanthus muellerianus (per weight of cement) with optimum effectiveness at inhibiting steel-reinforcement corrosion both by the experimental model, η = 91.66±2.51%, and by the prediction from the correlation fitting model, η = 85.54±14.44%. Fittings of both the experimental and the predicted data followed the Flory-Huggins and the Frumkin adsorption isotherms which suggest prevalent mechanism of physical adsorption (physisorption) of the extract on steel-rebar surface. These support the use of Phyllanthus muellerianus as environmentally-friendly admixture for inhibiting concrete steel-reinforcement corrosion in the industrial/microbial service-environment.

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Section: Statistical Analysis Of Measured Corrosion Test-datamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Electrochemical Performance of Phyllanthus Muellerianus on the Corrosion of Concrete Steel-reinforcement in Industrial/Microbial Simulating-environment

Okeniyi¹,

Loto²,

Popoola³

2014

Port. Electrochim. Acta

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“…For ascertaining whether the duplicated raw data of absorbance measurements from each system of crude oil polluted soil design exhibited significant difference, or otherwise, from one another, the analytical method of the Student's t-test statistics was applied to the data [24,[36][37][38]. For this betweenduplicate test-of-significance statistical technique, the homeoscedastic (equal variance) and the heteroscedastic (unequal variance) assumptions [38][39][40][41] were employed as between-duplicate data validation tool [25]. The test-of-significance threshold for the t-test statistics is at p ≥ 0.05.…”

Section: Methodsmentioning

confidence: 99%

Bioremediation: Data on biologically-mediated remediation of crude oil (Escravos Light) polluted soil using Aspergillus niger

Ojewumi

Okeniyi

et al. 2018

Chemical Data Collections

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“…In reported study submitted elsewhere (Okeniyi et al, 2013b), the measurement model of the corrosion potential from OCP and corrosion current from the ZRA has been employed along with inhibitor concentration for correlation with corrosion rate. However, it is of interest in this study to investigate how the ratio of the standard deviation of the corrosion potential by OCP to that of the corrosion current by ZRA would correlate with corrosion rate obtained from the Linear Polarisation Resistance (LPR) instrument.…”

Section: Introductionmentioning

confidence: 99%

Corrosion Rate and Noise Resistance Correlation from NaNO2-Admixed Steel-Reinforced Concrete

Okeniyi¹,

Omotosho²,

Loto³

et al. 2015

Asian J. of Scientific Research

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The lack of correlation from measurements of corrosion potential with corrosion rate in corrosion monitoring of steel-reinforced concrete has constituted concerns instigating demands for further experiments or additional monitoring techniques in corrosion studies. This paper studies correlation of corrosion rate from linear polarization resistance instrument and noise resistance from the ratio of standard deviations of corrosion potential to that of corrosion current measured from NaNO 2-admixed steel-reinforced concrete in 3.5% NaCl. Different concentrations of NaNO 2 were admixed in replicates of steel-reinforced concretes immersed in the saline/marine simulating test-solution and corrosion of the embedded steel-rebar were monitored using the three different, non-destructive, electrochemical methods. Measurements of corrosion test-data from these were subjected to the descriptive statistics of the Weibull distribution function, for which test-data compatibility was ascertained using the Kolmogorov-Smirnov goodness-of-fit statistics. The analysed results of the measured corrosion test-variables, exhibited good correlation between the corrosion rate, as the dependent variable and the function of the admixed NaNO 2 molar concentration and the noise resistance, as independent variables. Both experimental and prediction, from correlation fitting, models identified 0.1208 M NaNO 2 , the optimal concentration employed in the study, with optimum effectiveness, of η>90%, at inhibiting steel-rebar corrosion in the corrosive solution of concrete test-immersion. These bear suggestions of the suitability of the analysed more easily measured corrosion potential and corrosion current for indicating the corrosion activity of steel-reinforcement in concrete designed for corrosive service-environments.

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Analysis of inhibition of concrete steel-rebar corrosion by Na2Cr2O7 concentrations: Implications for conflicting reports on inhibitor effectiveness

Cited by 40 publications

References 56 publications

Electrochemical Performance of Phyllanthus Muellerianus on the Corrosion of Concrete Steel-reinforcement in Industrial/Microbial Simulating-environment

Electrochemical Performance of Phyllanthus Muellerianus on the Corrosion of Concrete Steel-reinforcement in Industrial/Microbial Simulating-environment

Bioremediation: Data on biologically-mediated remediation of crude oil (Escravos Light) polluted soil using Aspergillus niger

Corrosion Rate and Noise Resistance Correlation from NaNO2-Admixed Steel-Reinforced Concrete

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