MATHEMATICAL MODELING OF THE EFFECT OF AGGREGATES BASED ON MINING WASTE ON THE PHYSICAL AND MECHANICAL PROPERTIES OF HEAVY CONCRETE

MATHEMATICAL MODELING OF THE EFFECT OF AGGREGATES BASED ON MINING WASTE ON THE PHYSICAL AND MECHANICAL PROPERTIES OF HEAVY CONCRETE

Authors

  • R. Nurymbetova M. Auezov South Kazakhstan University, Shymkent, Kazakhstan
  • R. Ristavletov M. Auezov South Kazakhstan University, Shymkent, Kazakhstan
  • N. Suzev M. Auezov South Kazakhstan University, Shymkent, Kazakhstan
  • E. Kalshabekova M. Auezov South Kazakhstan University, Shymkent, Kazakhstan
  • M. Kambarov M. Auezov South Kazakhstan University, Shymkent, Kazakhstan
  • R. Kudabaev M. Auezov South Kazakhstan University, Shymkent, Kazakhstan
  • A. Orynbasarov M. Auezov South Kazakhstan University, Shymkent, Kazakhstan

DOI:

https://doi.org/10.55956/ZLLS1468

Keywords:

mathematical modeling, heavy concrete, man-made waste, physical and mechanical properties

Abstract

This article presents the results of mathematical modeling of the effect of the composition of heavy concrete on natural aggregates and man-made waste. Based on the obtained dependences, it was determined that cement consumption (X1) has the strongest effect on the change in average density. Due to the rather significant difference in the densities of cement stone and aggregates based on man-made waste, this effect is quite obvious. A negative linear effect of the water-cement ratio (X2) on the density of the composite was revealed, which is explained by an increase in the porosity of the cement stone with an increase in its water content, which subsequently leads to a decrease in the density of the material. The positive effect of changing the strength of heavy concrete with an increase in the cement content (x1 = + 0.99) and the water-cement ratio (x2 = + 1.9) has been established. Like most hydration-hardened concretes, an increase in the binder content has a beneficial effect on the formation of the strength characteristics of the material. It is determined that the changes in the response surfaces (Yρ and YR) have almost the same direction, as well as identical causal relationships with the input factors (X1 and X2). In all mixtures, a 50% ratio of factors gave a good result.

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Published online

2026-06-30

Issue

Section

Constuction Technologies
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