This paper presents the construction of intelligent systems for selecting the optimum concentration of geopolymer matrix components based on ranking optimality criteria. A peculiarity of the methodology is replacing discrete time intervals with a sequence of states. Markov chains represent a synthetic property accumulating heterogeneous factors. The computational basis for the calculations was the digitization of experimental data on the strength properties of fly ashes collected from thermal power plants in the Czech Republic and used as additives in geopolymers. A database and a conceptual model of priority ranking have been developed, that are suitable for determining the structure of relations of the main factors. Computational results are presented by studying geopolymer matrix structure formation kinetics under changing component concentrations in real- time. Multicriteria optimization results for fly-ash as an additive on metakaolin-based geopolymer composites show that the optimal composition of the geopolymer matrix within the selected variation range includes 100 g metakaolin, 90 g potassium activator, 8 g silica fume, 2 g basalt fibers and 50 g fly ash by ratio weight. This ratio gives the best mechanical, thermal, and technological properties.

Department of Material Science Faculty of Mechanical Engineering Technical University of Liberec Liberec Czech Republic

Faculty of Mechanical Engineering University of Kalisz Nowy Świet 4 62 800 Kalisz Poland

Institute for Nanomaterials Advanced Technologies and Innovation Technical University of Liberec Bendlova 1409 7 46001 Liberec Czech Republic

Kherson National Technical University Berislavske Shose Kherson 73008 Ukraine

Kherson State Maritime Academy Ushakov Ave Kherson 73000 Ukraine

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