Назад
COMPRESSIBLE PACKING DENSITY MODEL TO DETERMINE THE OPTIMAL AMOUNT OF COMPONENTS IN THE MIXTURE OF GRANULAR MATERIALS

DRY MIXTURES

699.822

Rezaev, R. O. Ph.D., associate professor, Tomsk polytechnic university, Tomsk, Russia; researcher in Leibniz Institute for Solid State and Materials Research, Dresden, Germany

Smirnova, E. I. Ph.D., principal investigator in Tomsk polytechnic university, Tomsk, Russia

Demyanenko, O. V. Ph.D. student, Tomsk State University of Architecture and Construction, Tomsk, Russia

Kopanitsa, N. O. Dr. Tech. Sc., prof., Tomsk State University of Architecture and Construction, Tomsk, Russia

Lukyanchikov, S. A. Dr.-Ing., associate professor, Tomsk State University of Architecture and Construction, Tomsk, Russia

Alitinform No2 (51) 2018 г. 56-62 p.

Abstract

In our work, the parameters of compressible packing model are determined for realistic mixtures having a specific humidity. With such parameters, the calculated packing density depends on the packing process and reproduces experimental data with a high degree of accuracy (1–5%). The distribution size of grains constituent the aggregates are the only inputs for calculations. The results of numerical simulations are presented as the function of the packing density of a mixture on a relative amount (by mass) of the fine aggregate for loosely poured, packed and pressed under vibrations states of mixtures. For the experimental validation of simulated conclusions, the fine and coarse aggregates taken from Tomsk Kudrovsk’s and Kandinsk’s quarries have been used. Theoretical and experimental results are in a good agreement thus providing a possibility for a broad application of efficient computational tools to optimize the concrete mixtures based on a granulometric analysis.

Key words:

packing density, concrete mixture optimization, mathematical modeling

To receive the full version of the article, you need to subscribe or buy a journal issue with the text you are interested in.

Download short magazine