Abstract:

Polymer concretes find a place with their unique structures in the variety of building materials increasing with the developing technology. The use of polymer concretes is increasing day by day due to their high strength as well as their resistance to environmental effects. In this direction, it is of great importance to know the materials to be used to produce polymer concretes used for various purposes, the mixing ratios of these materials, and their specific engineering properties such as the physical and mechanical properties of polymer concretes. The fact that mechanical performances such as compressive and flexural strength are closely related to other properties of concrete emerges as an important condition for hardened concrete. For this reason, many studies have been carried out recently to determine the mechanical properties of concrete beforehand. Within the scope of this study, the physical and mechanical properties of polymer concretes produced by mixing different polymer resin types and different aggregates at 0%, 15%, 30% and 45% by volume were determined experimentally. The relationships between the components, mixing ratios, physical properties and mechanical properties of the samples produced within the scope of the experimental data obtained were discussed using data mining as an alternative method. As a result of the study, it was concluded that data mining can be used successfully in modelling the engineering properties of concretes.

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