Stability control of open stopes in high-stress deep mining: a structural parameter design methodology based on the improved mathews stability graph method
IntroductionWith 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...
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Frontiers Media S.A.
2025-06-01
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| Online Access: | https://www.frontiersin.org/articles/10.3389/feart.2025.1610234/full |
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| author | Zi-Bin Li Zi-Bin Li Deng-Pan Qiao Deng-Pan Qiao Tian-Yu Yang Tian-Yu Yang |
| author_facet | Zi-Bin Li Zi-Bin Li Deng-Pan Qiao Deng-Pan Qiao Tian-Yu Yang Tian-Yu Yang |
| author_sort | Zi-Bin Li |
| collection | DOAJ |
| description | IntroductionWith 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”).MethodsTaking 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.ResultsFirst, 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.DiscussionFinally, 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. |
| format | Article |
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| institution | OA Journals |
| issn | 2296-6463 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | Frontiers Media S.A. |
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| spelling | doaj-art-862c1e92e8b348f0b04b44da4e78f0652025-08-20T02:09:19ZengFrontiers Media S.A.Frontiers in Earth Science2296-64632025-06-011310.3389/feart.2025.16102341610234Stability control of open stopes in high-stress deep mining: a structural parameter design methodology based on the improved mathews stability graph methodZi-Bin Li0Zi-Bin Li1Deng-Pan Qiao2Deng-Pan Qiao3Tian-Yu Yang4Tian-Yu Yang5School of Land and Resources Engineering, Kunming University of Science and Technology, Kunming, Yunnan, ChinaYunnan Key Laboratory of Sino-German Blue Mining and Utilization of Special Underground Space, Kunming, Yunnan, ChinaSchool of Land and Resources Engineering, Kunming University of Science and Technology, Kunming, Yunnan, ChinaYunnan Key Laboratory of Sino-German Blue Mining and Utilization of Special Underground Space, Kunming, Yunnan, ChinaSchool of Land and Resources Engineering, Kunming University of Science and Technology, Kunming, Yunnan, ChinaYunnan Key Laboratory of Sino-German Blue Mining and Utilization of Special Underground Space, Kunming, Yunnan, ChinaIntroductionWith 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”).MethodsTaking 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.ResultsFirst, 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.DiscussionFinally, 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.https://www.frontiersin.org/articles/10.3389/feart.2025.1610234/fullmathews stability graphopen stoping with subsequent backfillstructural parametersensemble learningdeep mining |
| spellingShingle | Zi-Bin Li Zi-Bin Li Deng-Pan Qiao Deng-Pan Qiao Tian-Yu Yang Tian-Yu Yang Stability control of open stopes in high-stress deep mining: a structural parameter design methodology based on the improved mathews stability graph method Frontiers in Earth Science mathews stability graph open stoping with subsequent backfill structural parameters ensemble learning deep mining |
| title | Stability control of open stopes in high-stress deep mining: a structural parameter design methodology based on the improved mathews stability graph method |
| title_full | Stability control of open stopes in high-stress deep mining: a structural parameter design methodology based on the improved mathews stability graph method |
| title_fullStr | Stability control of open stopes in high-stress deep mining: a structural parameter design methodology based on the improved mathews stability graph method |
| title_full_unstemmed | Stability control of open stopes in high-stress deep mining: a structural parameter design methodology based on the improved mathews stability graph method |
| title_short | Stability control of open stopes in high-stress deep mining: a structural parameter design methodology based on the improved mathews stability graph method |
| title_sort | stability control of open stopes in high stress deep mining a structural parameter design methodology based on the improved mathews stability graph method |
| topic | mathews stability graph open stoping with subsequent backfill structural parameters ensemble learning deep mining |
| url | https://www.frontiersin.org/articles/10.3389/feart.2025.1610234/full |
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