PREDICTING PROPERTIES AND DESIGN OF SELF-COMPACTING CONCRETE OPTIMAL COMPOSITION USING MATHEMATICAL MODELS
DOI:
https://doi.org/10.31713/budres.v0i41.004Abstract
The paper deals with composition design of self - compacting concrete containing blast furnace granulated slag and polycarboxylate type superplasticizer in a wide range of concrete strength classes. The method of mathematical experiment planning is used for obtaining data required to obtain multifactorial experimental-statistical models of the following concrete mix and hardened concrete properties: concrete mix water demand, workability retention after 2 hours, concrete compressive at different ages. Analysis of separate and joint influence of cement consumption, blast furnace granulated slag and superplasticizer contents on those properties is carried out. The optimal dosages of the superplasticizer, the consumption of cement and blast-furnace slag are established from the standpoint of the minimum water demand and W/C, the maximum workability retention of the self-compacting concrete mixture and the strength of concrete. A significant effect of the joint influence of the superplasticizer and blast-furnace slag has been established. Possibility of minimizing the cement consumption at optimal superplasticizer content and slag consumption of 100-120 kg/m3 is shown. Multiparametric mathematical optimization of self-compacting concretes compositions using the obtained models under the condition of minimizing the total concrete cost is carried out. The methodology allows to determine the rational values of the main technological parameters depending on the specified properties of the SCC and the concrete mix.
