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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, Oluseyi Olanrewaju and Ajanaku, Kolawole Oluseyi and Loto, Cleophas Akintoye 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 > Q Science (General)
Q Science > QA Mathematics
Q Science > QC Physics
Q Science > QD Chemistry
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: 16 Aug 2016 09:01
Last Modified: 16 Aug 2016 09:01
URI: http://eprints.covenantuniversity.edu.ng/id/eprint/6902

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