Abstract
The reason, why the most expensive and advanced structural elements of spacious buildings are floors, is the fact that the materials and process of erecting them are very specialized. Floors are usually made of two layers: a substrate and an overlay made of cementitious composites. The properties of cementitious composites: compressive strength, near-surface tensile strength, abrasive wear, creep strain and shrinkage are affected by numerous aspects and are important for the proper performance of the floors. Recently, to meet the expectations of sustainable development, more attention has been paid to increasing the usage of eco-friendly admixtures on floors. These admixtures are often obtained during industrial processes (milling, cutting, burning, etc). Previously the following by-products were used: fly ash as the most popular, ground granulated blast furnace slag was less popular, and granite powder was not used on floors previously. Unfortunately, novel models have to be designed to describe the mechanical properties of cementitious composites with eco-friendly admixtures, before such a solution will be widely applied. The increasing number of studies that consider the topic of prediction using various machine learning algorithms of mechanical properties of eco-friendly cementitious composites proved that this topic became interesting for scientists and will be even more interesting in the future. In this review, the author would like to present a state of the art, the main research gaps and the perspectives for further research. Thanks to this review, the alternative approach to modelling the mechanical properties of eco-friendly cementitious composites will be emphasized.
