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March 24, 2026Moscow University Computational Mathematics and Cybernetics0 citations

Two-Phase Material Balance Problem with Nonlinear Constraints

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NSN. P. SavenkovaLomonosov Moscow State UniversityAMA. Yu. MokinADA. A. DryazhenkovLomonosov Moscow State University

Key Points

  • This research aims to develop a nonlinear mathematical model for material balance in mining operations.
  • Developed a two-phase mathematical model to represent ore and useful substance flows.
  • Studied material balance calculations as part of an optimization problem.
  • Utilized the interior point method to find solutions to nonlinear constraints.
  • Incorporated measured and indirect values of useful substance concentrations.
  • Considered flow values, stockpiles, and unknown concentration values.
  • Presented test calculations for material balance at a mining facility section.
  • Demonstrated the feasibility of the proposed model to optimize resource extraction.
  • Showed effective managing of material flows with known and unknown values.

Abstract

A nonlinear, two-phase mathematical model of production at a mining facility is proposed. In this model, material flows are represented as two phases (ore and the useful substance contained within it), linked through the concentration of the useful substance. The process of material balance calculation is studied, which represents the solution to an optimization problem with nonlinear constraints at nodes with product accumulation. The solution to this problem is proposed to be sought using the interior point method. Known measured values of useful substance concentrations are considered, as well as the results of indirect measurements, ranges of flow values, stockpiles, and unknown concentration values. The results of test calculations for material balance calculations at a small section of a mining facility are presented.

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Cite This Study

Savenkova et al. (2026) studied this question.

synapsesocial.com/papers/69c2296aaeb5a845df0d3dd8https://doi.org/10.3103/s0278641925700335
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