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Prediction of Surface Subsidence Range Induced by Caving Mining in Metal Mines
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Fu FU1, 2, Changyu JIN1, Longbin DONG3, Guihong YAO4
Mining Research and Development | 2026, 46(3) : 101 - 109
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Mining Research and Development | 2026, 46(3): 101-109
Prediction of Surface Subsidence Range Induced by Caving Mining in Metal Mines
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Fu FU1, 2, Changyu JIN1, Longbin DONG3, Guihong YAO4
Affiliations
  • 1.State Key Laboratory of Intelligent Deep Metal Mining and Equipment, Northeastern University, Shenyang, Liaoning 110819, China
  • 2.Yunnan Chihong Zn & Ge Co., Ltd., Qujing, Yunnan 655099, China
  • 3.MCC North (Dalian) Engineering Technology Co., Ltd., Dalian, Liaoning 116600, China
  • 4.Zijin (Xiamen) Engineering Co., Ltd., Xiamen, Fujian 361006, China
Published: 2026-03-25
Outline
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Caving mining is widely recognized to trigger large-scale strata movement and ground deformation, making a reliable delineation of the surface subsidence range essential for mitigating associated losses. In this study, a representative metal mine adopting the caving method was investigated, and the subsidence range was evaluated using numerical simulation, analytical modelling, and similarity simulation model test. Numerical simulations were first performed to obtain a preliminary subsidence profile. On this basis, an enhanced Weibull-distribution-based formulation was developed to better capture the subsidence characteristics induced by caving mining in metal mines. The spatial uncertainty of rock-mass mechanical properties was then incorporated via reliability theory to provide a reliability-informed prediction of the subsidence range. Finally, the analytical predictions were validated by similarity simulation tests. The three approaches yield subsidence extents in the following ascending order: numerical simulation < similarity simulation test < reliability-based analysis. The discrepancy between theoretical predictions and test results ranges from 0.30% to less than 5%, demonstrating the robustness and credibility of the proposed method for subsidence-range delineation.

Caving method  /  Surface subsidence  /  Numerical simulation  /  Reliability  /  Similarity simulation test
符富, 金长宇, 东龙宾, 姚桂宏. 金属矿山崩落法开采的地表沉陷范围预测研究. 矿业研究与开发, 2026 , 46 (3) : 101 -109 .
Fu FU, Changyu JIN, Longbin DONG, Guihong YAO. Prediction of Surface Subsidence Range Induced by Caving Mining in Metal Mines[J]. Mining Research and Development, 2026 , 46 (3) : 101 -109 .
Year 2026 volume 46 Issue 3
37
10
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Article Info
  • Receive Date:2025-04-06
  • Online Date:2026-10-29
  • Published:2026-03-25
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  • Received:2025-04-06
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Affiliations
    1.State Key Laboratory of Intelligent Deep Metal Mining and Equipment, Northeastern University, Shenyang, Liaoning 110819, China
    2.Yunnan Chihong Zn & Ge Co., Ltd., Qujing, Yunnan 655099, China
    3.MCC North (Dalian) Engineering Technology Co., Ltd., Dalian, Liaoning 116600, China
    4.Zijin (Xiamen) Engineering Co., Ltd., Xiamen, Fujian 361006, China
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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