About the authors
| First name, Middle name, Last name, Scientific degree, Scientific rank, Current position. Full and brief name of the organization, The organization address. | Smirnov Denis Sergeevich candidate of technical sciences, аssoсiаtе рrofеssor E-mail: This e-mail address is being protected from spambots. You need JavaScript enabled to view it Garaev Timur Raisovich senior lecturer E-mail: This e-mail address is being protected from spambots. You need JavaScript enabled to view it Kazan State University of Architecture and Engineering The organization address: 420043, Russia, Kazan, Zelenaya st., 1 Garipova Dilyara Ruslanovna 3rd category engineer E-mail: This e-mail address is being protected from spambots. You need JavaScript enabled to view it LLC «IK «Spektr» The organization address: 420061, Russia, Kazan, Kosmonavt st., 44 |
| Title of the article | Modelling the properties of wall ceramics by regression analysis |
| Abstract. | Problem statement. The research data is to obtain mathematical models with a high degree of compression and water absorption of wall ceramic products, depending on the total content of aluminium oxides, titanium, fractions <0,001 mm, ductility and firing temperature for moderately ductile low-disperse clay raw materials of RT. Results. The main results of the study consist in obtaining statistical regression models that allow predicting strength and watering absorption for moderately ductile low-dispersing clay raw materials and based on this, quickly, without carrying out volumetric laboratory tests, adjusting mine surveying developments in the quarry or the production process as far as possible. Conclusions. The significance of the results obtained for the construction industry lies in the preparation of an applied mathematical basis that provides the opportunity to optimize the operational characteristics of wall ceramics. The foundation has been laid for further statistical processing of data for clay deposits of the Republic of Tatarstan. |
| Keywords. | wall ceramics, compressive strength, firing temperature, water absorption, regression analysis. |
| For citations: | Smirnov D.S., Garaev T.R., Garipova D.R. Modelling the properties of wall ceramics by regression analysis // Izvestiya KGASU. 2020. №1() P.146-. |
