Corrosion Evaluation of Modified Reinforcement Concrete by Electrochemical Noise Techniques

Núñez-Jáquez, R. E.; Gaona-Tiburcio, C.; Uruchurtu-Chavarı́n, J.; Barrios-Durstewitz, C.P.; Almeraya‐Calderón, F.; Martínez‐Villafañe, A.

doi:10.4152/pea.200501111

Cited by 2 publications

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“…Noise resistance (R n ) modelling Requisite estimations, from the descriptive statistics exhibiting better compatibility with the scatter of the HCP and the ECC test-data were used for the ratio of the standard deviations of the corrosion potential and corrosion current, the noise resistance (R n ) as [26][27]31,[38][39]:…”

Section: Statistical Analysis Of Measured Corrosion Test-datamentioning

confidence: 99%

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%

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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“…By this, the noise resistance test-data prevailing in each concrete samples would be obtained as the ratio of Weibull standard deviation of the corrosion potential (mV) to the Weibull standard deviation of corrosion current (mA), i.e. (Okeniyi et al, 2014b;Song and Saraswathy, 2007;Nunez-Jaquez et al, 2005;Eden, 2000;Kelly et al, 1996):…”

Section: Goodness-of-fit Test Statisticsmentioning

confidence: 99%

“…Such correlation, if it could be established would find usefulness, especially, for quick detailing of inhibitor performance at inhibiting steel-rebar corrosion in chloride contaminated medium. In literature, deliberating on corrosion studies (Song and Saraswathy, 2007;Nunez-Jaquez et al, 2005;Eden, 2000;Kelly et al, 1996), the ratio of standard deviation of corrosion potential to that of the corrosion current has been identified as the noise resistance. However, in none of these was the descriptive statistics followed by the test-data of corrosion potential and/or corrosion current studied for detailing the measurement of dispersion, i.e.…”

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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Corrosion Evaluation of Modified Reinforcement Concrete by Electrochemical Noise Techniques

Cited by 2 publications

References 0 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

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

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