Effect of different types of calcined crude kaolins and high purity metakaolin on corrosion resistance of reinforcement in concretes: Experimental evaluation and analytical modeling
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- @Article{MERMERDAS:2023:conbuildmat,
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author = "Kasim Mermerdas and Erhan Guneyisi",
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title = "Effect of different types of calcined crude kaolins
and high purity metakaolin on corrosion resistance of
reinforcement in concretes: Experimental evaluation and
analytical modeling",
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journal = "Construction and Building Materials",
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volume = "382",
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pages = "131288",
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year = "2023",
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ISSN = "0950-0618",
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DOI = "doi:10.1016/j.conbuildmat.2023.131288",
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URL = "https://www.sciencedirect.com/science/article/pii/S0950061823010012",
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keywords = "genetic algorithms, genetic programming, Corrosion,
Electrical resistivity, Linear polarization resistance,
Metakaolin, Modeling",
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abstract = "In this experimental study, the corrosion
characteristics of steel reinforcement bars embedded in
concretes, which were produced by incorporation of
metakaolin obtained from high purity metakaolin or
calcined raw kaolins, were investigated. The linear
polarization resistance (LPR) method was benefited as
the corrosion monitoring method. In concrete
production, 0.40 water/binder ratio, 350 kg/m3 total
binder amount, two different mineral admixture
replacement levels of 5percent and 15percent were used.
In addition, control samples were produced to evaluate
the effectiveness of mineral additives. Reinforced
concrete samples manufactured for accelerated corrosion
monitoring were submerged into NaCl solutions of two
different concentrations (2percent and 5percent
solutions) to provide rapid anodic reactions in
corrosion process. Additionally, the electrical
resistance values of the concretes were tested to
assess the corrosion behavior. After the experimental
results were achieved, the obtained data were evaluated
statistically and a new mathematical estimation model
was developed using the gene-expression programming
(GEP) method taking into account the effective
parameters. This model was also compared with the
results of the multiple linear regression, which is a
statistical method. The analysis of the results based
on LPR technique showed that the modified samples
yielded higher corrosion resistance than the plain
samples in both solution exposure conditions. Among the
mineral additives used, it was observed that those with
metakaolin addition had the highest resistance. While
the coefficient of determination (R2) of the testing
set produced for the GEP prediction model was around
0.9, the value obtained by multiple linear regression
was found to be 0.433",
- }
Genetic Programming entries for
Kasim Mermerdas
Erhan Guneyisi
Citations