Abstract
This paper aims to develop a shrinkage prediction model for self-compacting concrete based on experimental data. The model focuses on predicting the behavior of concrete up to a period of 90 days, which corresponds to a construction time during which countermeasures can be taken. The model was designed based on an independent methodology that combines fuzzy logic and genetic algorithm. This methodology was applied for an experimental data set, and the obtained model was compared to other published data and the prediction model considered by the Eurocode. The results were verified by statistical analysis that confirmed the reliability of the proposed model.DOI: http://dx.doi.org/10.5755/j01.mech.19.1.3622
Highlights
Concrete shrinkage is defined as the decrease in concrete volume with time
The occurrence of shrinkage leads to the development of internal tension stresses that can result in concrete cracking if the developed internal tension stresses surpass concrete tensile strength
The optimized fuzzy sets led to a proper prediction of the shrinkage with a reduced number of rules, making the modeling process more effective
Summary
Concrete shrinkage is defined as the decrease in concrete volume with time. This volume decrease does not depend on external stress and it is not completely reversible. The shrinkage is associated with a series of factors, such as chemical reactions, gradient in temperature, and loss of water. Each one of these factors leads to different types of shrinkage, such as autogenous, plastic, drying, and thermal shrinkage [1, 2]. The occurrence of shrinkage leads to the development of internal tension stresses that can result in concrete cracking if the developed internal tension stresses surpass concrete tensile strength. The strain resulting from excessive shrinkage may reduce bounding tension and increase deflection in asymmetrically reinforced concrete structures [2]
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