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Prognostic modelling of structural block size distribution in the rock mass

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Category: Content №1 2026

Last Updated on 27 February 2026

Published on 30 November -0001

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Authors:

A. Kuttybayev, orcid.org/0000-0003-3997-8324, Satbayev University, Almaty, Republic of Kazakhstan, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

S. Lutsenko*, orcid.org/0000-0002-5992-3622, Kryvyi Rih National University, Kryvyi Rih, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

Yu. Hryhoriev, orcid.org/0000-0002-1780-5759, Kryvyi Rih National University, Kryvyi Rih, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

I. Tuhtamov, orcid.org/0000-0002-1594-4659, Satbayev University, Almaty, Republic of Kazakhstan

D. Titov, orcid.org/0000-0002-0637-2329, Kryvyi Rih National University, Kryvyi Rih, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

* Corresponding author e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

повний текст / full article

Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu. 2026, (1): 068 - 075

https://doi.org/10.33271/nvngu/2026-1/068

Abstract:

Purpose. Improving the efficiency of mining operations at deposits with complex geological structures through automated design of rational drilling-and-blasting and excavation-loading parameters.

Methodology. In conducting scientific research, comprehensive methods were utilized, including the analysis and synthesis of scientific and technical information, theoretical studies, mathematical modeling methods, mathematical statistics methods for processing experimental data and techno-economic justification of various technology options, correlation-regression analysis, as well as empirical and object-oriented programming methods for creating software modules.

Findings. Analytical dependencies of natural fragments in small-block, medium-block, large-block, and very large-block rock masses have been established. The content of natural fragments in a rock mass generally follows an exponential law. A structural-hierarchical model of rock mass fracturing has been created, allowing for the determination of the calculated granulometric composition of natural fragments in rock masses of various block sizes based on their average size at different scales of natural fragment sizes. A classification of rock masses by block size, indicating the percentage content of natural fragments, has been proposed.

Originality. It lies in developing innovative methods and creating an automated design system that provides justification for rational parameters of ore extraction technologies of a given quality and the required volumes in solid mineral deposits with varying levels of structural and geological complexity.

Practical value is determined by the high applicability of the obtained results for implementation and use in designing rational drilling-and-blasting and excavation-loading parameters in development and extraction workings of open-pit and underground mines.

Keywords: drilling and blasting operations, granulometric rocks composition, rocks fracturing

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