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Analyses of corrosion potential from inhibitor-admixed steel-reinforced concrete: Implication on steel-rebar corrosion risk/probability

Olugbenga, Adeshola Omotosho and Okeniyi, Joshua Olusegun and Ajayi, O. O. and Ajanaku, K. O. and Loto, C. A. and Popoola, Abimbola Patricia Idowu (2014) Analyses of corrosion potential from inhibitor-admixed steel-reinforced concrete: Implication on steel-rebar corrosion risk/probability. In: Second International. Conference on Advances In Civil, Structural and Mechanical Engineering- CSM 2014, 16–17 November 2014, Birmingham, United Kingdom.

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Abstract

Statistical analyses of three probability density functions, from Normal, Rayleigh and Weibull distributions, were applied for studying steel-rebar corrosion risk/probability in inhibitor admixed steel-reinforced concrete immersed in aggressive media of 3.0% NaCl and 0.5 M H2SO4. For these, different concentrations, ranging from 0 M to 0.29 M, of K2CrO4 were admixed in two-set steel-reinforced concrete with each set partially immersed in each of the aggressive test-solutions and which were monitored using open circuit potential techniques as per ASTM C876–91 R99. Analyses of the 30-days test-response from these showed that most of the corrosion test-data distributed like the Weibull and like the Normal distributions while just a few test-datasets distributed like the Rayleigh distribution, according to the Kolmogorov-Smirnov goodness-of-fit statistics. All the probability distribution fittings identified, in agreements, the 0.15 M K2CrO4 admixed steel-reinforced concrete with the least probability of corrosion risk in both of the acidic and the neutral saline test-solutions. These bear implications on the use of probability distribution analyses for economical monitoring of steel-rebar corrosion risk/probability and corrosion inhibitor admixture effects in steel-reinforced concrete in aggressive service-environments.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Proc. of the Second Intl. Conf. on Advances In Civil, Structural and Mechanical Engineering- CSM 2014. Copyright © Institute of Research Engineers and Doctors, USA .All rights reserved. ISBN: 978-1-63248-054-5 doi: 10.15224/ 978-1-63248-054-5-42
Uncontrolled Keywords: Corrosion potential, steel rebar, potassium chromate, probability density fitting functions, Kolmogorov–Smirnov statistics, acidic and neutral saline
Subjects: Q Science > QC Physics
Q Science > QD Chemistry
T Technology > T Technology (General)
T Technology > TD Environmental technology. Sanitary engineering
T Technology > TJ Mechanical engineering and machinery
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: 16 Aug 2016 09:01
Last Modified: 07 Nov 2022 13:21
URI: http://eprints.covenantuniversity.edu.ng/id/eprint/6902

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