Application of Statistics to the Analysis of Corrosion Data for Rebar in Metakaolin Concrete (original) (raw)

Learning and Analytics in Intelligent Systems

Abstract

The present paper reports the effect of chloride, sulphate and the combined chloride-sulphate solutions on the corrosion behaviour of rebar embedded in concretes made with Ordinary Portland Cement (OPC) and Metakaolin (MK). The corrosion test data collected on the reinforced slab specimens made with mix water contaminated with 5% sodium chloride, 2% magnesium sulphate and the combination of both salts. The corrosion performance was monitored for every 30 days throughout 180 days, in terms of corrosion rate values. The analysis of the obtained data was carried out as per the specifications given by ASTM G16-13. The analysis of the corrosion data includes the descriptive statistics of the Normal, Weibull lognormal, and Smallest Extreme Value probability distribution functions and the test of fit significance by the Anderson-Darling (AD) goodness of fit statistics. In addition, the analysis of variance was also carried out to determine the influence of each factor on the corrosion data. This detailed analysis of the test data is useful to carry out the further investigation on corrosivity of reinforcement bar exposed to aggressive environments or marine environment. The statistical analysis from the present dataset is helpful for further research on the MK and the effect of concomitant presence of chlorides and sulphates on the corrosivity of rebar embedded in concrete. In addition to this Analysis of Variance is also carried out on the obtained corrosion data to assess the effect of cementitious material type and salt type on corrosion data.

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