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- W617551969 abstract "Concrete corrosion due to sulphuric acid attack is a phenomenon that usually takes place in underground sewer pipes. This phenomenon is known to be one of the main contributory factors for degradation of concrete sewer pipes. This paper proposes to use a novel data mining technique, i.e. evolutionary polynomial regression (EPR), to predict (i) the mass loss and (ii) compressive strength of concrete subject to sulphuric acid attack. EPR is a hybrid data-driven technique based on evolutionary computation designed to seek polynomial or pseudo-polynomial structures representing the system. A comprehensive dataset from literature is collected to train and develop the EPR models. The data contains various information including concrete mixture as well as concrete mass loss and compressive strength at different ages. The results show that the first EPR model can successfully predict the mass loss of concrete specimens exposed to different severities of sulphuric acid attack providing the concrete mixture parameters as input. The predictions provided by the second EPR model have also shown that the proposed model is highly accurate and robust in predicting compressive strength of the various concrete mixtures at different ages. Parametric studies of the models show that the proposed models are capable of representing the degree to which individual contributing parameters can affect the mass loss and compressive strength of concrete. In addition using the developed models and optimisation techniques the optimum concrete mix designs that result in maximum compressive strength and minimum degradation are obtained." @default.
- W617551969 created "2016-06-24" @default.
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- W617551969 date "2013-03-27" @default.
- W617551969 modified "2023-09-24" @default.
- W617551969 title "Modelling degradation of concrete subject to sulphuric acid attack" @default.
- W617551969 hasPublicationYear "2013" @default.
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