Stability control of open stopes in high-stress deep mining: a structural parameter design methodology based on the improved mathews stability graph method

Introduction With the depletion of shallow mineral resources and surging demand for deep mining, metal mines in China have generally entered the kilometer-depth mining stage, confronting challenges in stope stability caused by high ground stress, elevated rock temperatures, high seepage pressure, and intense mining disturbances (“three highs and one disturbance”). Methods Taking the Dahongshan Copper Mine (800–1000 m depth) as a case study, this paper proposes an enhanced design methodology for structural parameters of deep open stopes to address the limitations of the traditional Mathews stability graph method in 3D mechanical characterization, dynamic evolution analysis, and model generalization. Results First, an improved stability graph model was developed by refining hydraulic radius calculations through cross-sectional collaborative analysis and establishing quantifiable zoning thresholds for span and exposure area based on geological variations between eastern and western ore sections. Second, time-series cavity scanning revealed dynamic evolution patterns of stope stability, demonstrating that hydraulic radius and collapse height peak post-blasting. This finding highlights the pre-final blasting state as the critical node for stability evaluation. An ensemble model integrating Stacking, Bagging, Boosting, and Voting strategies demonstrated significant improvements in prediction accuracy and classification performance over traditional logistic regression. Discussion Finally, validation in high-stress stopes at 600–1000 m depths confirmed the model’s generalization capability, offering a data-mechanism dual-driven decision framework for structural parameter design in deep open stopes.

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Publication Details

Journal
Frontiers in Earth Science
Published
2025-06-11
DOI
https://doi.org/10.3389/feart.2025.1610234
Citations
1
Primary Topic
Geomechanics and Mining Engineering
Type
article
Field-Weighted Citation Impact
0.86

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article

Stability control of open stopes in high-stress deep mining: a structural parameter design methodology based on the improved mathews stability graph method

T. Yang, Zibin Li, Dengpan Qiao
1 citations
Frontiers in Earth Science
Geomechanics and Mining Engineering
0.86
article

Stability control of open stopes in high-stress deep mining: a structural parameter design methodology based on the improved mathews stability graph method

T. Yang, Zibin Li, Dengpan Qiao
article en
1 citations

Abstract

Introduction With the depletion of shallow mineral resources and surging demand for deep mining, metal mines in China have generally entered the kilometer-depth mining stage, confronting challenges in stope stability caused by high ground stress, elevated rock temperatures, high seepage pressure, and intense mining disturbances (“three highs and one disturbance”). Methods Taking the Dahongshan Copper Mine (800–1000 m depth) as a case study, this paper proposes an enhanced design methodology for structural parameters of deep open stopes to address the limitations of the traditional Mathews stability graph method in 3D mechanical characterization, dynamic evolution analysis, and model generalization. Results First, an improved stability graph model was developed by refining hydraulic radius calculations through cross-sectional collaborative analysis and establishing quantifiable zoning thresholds for span and exposure area based on geological variations between eastern and western ore sections. Second, time-series cavity scanning revealed dynamic evolution patterns of stope stability, demonstrating that hydraulic radius and collapse height peak post-blasting. This finding highlights the pre-final blasting state as the critical node for stability evaluation. An ensemble model integrating Stacking, Bagging, Boosting, and Voting strategies demonstrated significant improvements in prediction accuracy and classification performance over traditional logistic regression. Discussion Finally, validation in high-stress stopes at 600–1000 m depths confirmed the model’s generalization capability, offering a data-mechanism dual-driven decision framework for structural parameter design in deep open stopes.

Frontiers in Earth ScienceVol. 13
Kunming University of Science and Technology (CN)
Applied Basic Research Key Project of Yunnan
Openalex Percentile: Top 29%
Geomechanics and Mining Engineering
0.86
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