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All Journal Civil Engineering Journal
Almenov, Talgat
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Civil Engineering, Building, Construction & Architecture

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A Novel Approach to Selecting Rational Supports for Underground Mining Workings Almenov, Talgat; Zhanakova, Raissa; Sarybayev, Madiyar; Shabaz, Din-Mukhammed
Civil Engineering Journal Vol 11, No 3 (2025): March
Publisher : Salehan Institute of Higher Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/CEJ-2025-011-03-022

Abstract

The goal of this study is to examine the stress-strain state and stability of rock massifs to select a rational type of support for underground workings in challenging mining and geological conditions. The primary aims include increasing the speed of mine workings, reducing capital expenditure, and enhancing safety. Established and novel theoretical methods for mining, geomechanics, and rock massif management were employed. These methods involve analyzing factors affecting the mine working speed, studying the physical and mechanical properties of rocks, developing stratigraphic profiles, and assessing the stress-strain state and stability using Bieniawski’s Rock Mass Rating (RMR), Barton’s Q-rating, and construction norms and rules. Numerical modeling with the Rocscience RS2/RS3 software was utilized to identify failure-prone areas and determine rational support types and parameters. This study provides comprehensive insights into the stress-strain state of the massif, identifying high-risk zones, and recommending suitable support types. The findings contribute to accelerating the progress of underground work, enhancing safety, and reducing construction costs. The developed support systems for challenging mining and geological conditions were designed to increase the speed, safety, and profitability of underground workings. Additionally, this research emphasizes the significance of selecting appropriate support systems to ensure the longevity and stability of underground structures, thereby optimizing operational efficiency and cost-effectiveness. Doi: 10.28991/CEJ-2025-011-03-022 Full Text: PDF
GPR-Driven Geomechanical Modeling and Drill-Blast Optimization for Enhanced Efficiency in Open-Pit Gold Mining Almenov, Talgat; Zhanakova, Raissa; Shautenov, Mels; Askarova, Guljan; Agybayev, Nurdaulet; Assylkhanova , Samal
Civil Engineering Journal Vol. 11 No. 11 (2025): November
Publisher : Salehan Institute of Higher Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/CEJ-2025-011-11-010

Abstract

This study seeks to raise the operational efficiency and economic return of the Vasilkovskoye open-pit gold mine by integrating real-time ground-penetrating-radar (GPR) monitoring, geomechanical modeling, and digital optimization of drilling-and-blasting parameters. Continuous GPR scanning identified hazardous fracture zones that were subsequently characterized in DIPS and RS2 to model slope stability, while ShotPlus-based blast simulations and OrePro 3D displacement modeling guided the redesign of hole spacing, charge distribution, and delay timing. Fragmentation quality was verified with high-resolution photogrammetry and correlated to blast design through statistical analysis; a comparative techno-economic assessment quantified cost and dilution differentials between conventional and optimized schemes. The integrated workflow established a robust predictive link between blast geometry and fragment size, reducing oversize generation by 17% and ore dilution by 9%, while increasing gold grade in mill feed from 0.84 g t⁻¹ to 0.94 g t⁻¹. GPR-informed hazard mapping eliminated unplanned wall failures, and the revised pattern lowered specific explosive consumption without compromising fragmentation, cutting total unit costs by 8%. Unlike previous studies that treat slope stability and blasting as separate tasks, this study couples deformation dynamics with blast design in a single digital loop, offering a transferable framework for automation-ready, risk-aware mine planning at complex geological sites.
Co-Authors Agybayev, Nurdaulet Askarova, Guljan Assylkhanova , Samal Sarybayev, Madiyar Shabaz, Din-Mukhammed Shautenov, Mels Zhanakova, Raissa