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Evaluation of Rock Burst Proneness of Deep Sandstone Based on Fuzzy Mathematics Method
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Xianglin REN1, Fayue CAO2, Shuo WANG1, Gengqiang WEI1, Shida XU1
Mining Research and Development | 2026, 46(3) : 29 - 36
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Mining Research and Development | 2026, 46(3): 29-36
Evaluation of Rock Burst Proneness of Deep Sandstone Based on Fuzzy Mathematics Method
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Xianglin REN1, Fayue CAO2, Shuo WANG1, Gengqiang WEI1, Shida XU1
Affiliations
  • 1.National Key Laboratory of Intelligent Mining and Equipment for Deep Metal Mines, Northeastern University, Shenyang, Liaoning 110819, China
  • 2.Zijin Mining Group Co., Ltd., Shanghang, Fujian 364200, China
Published: 2026-03-25
Outline
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As mining depths increase, the synergistic effect of high in-situ stress and complex geological environments leads to frequent rock burst incidents. However, there is carrently a lack of comprehensive evaluation methods for the rock burst proneness of deep rock masses that accounts for multi-factor influences. Based on rock mechanics parameter tests conducted at an iron mine in the Xinjiang Uygur Autonomous Region, the rock burst proneness of the rock mass in the -450 m to -600 m level was evaluated using four indicators: the strength brittleness coefficient, the improved brittleness index, the maximum storage elastic strain energy, and the strain energy index. The results indicate significant dispersion among the evaluation results obtained by using different single indicators, rendering it difficult to accurately determine the actual rock burst proneness relying solely on an individual metric. Consequently, a comprehensive evaluation model for rock burst proneness was established by integrating the fuzzy mathematics method and the entropy weight method. A comprehensive assessment of the sandstone rock burst proneness in the -450 m to -600 m level of the mine was performed, revealing a moderate rock burst proneness across all cases. On-site investigations demonstrate that the evaluation results generated by the multi-indicator comprehensive evaluation method based on fuzzy mathematics align closely with the actual in-situ damage conditions, facilitating an accurate assessment of the rock burst proneness grade. These findings provide a rock bust theoretical basis and technical support for safe mine production and rock burst mitigation.

Rock burst proneness  /  Burial depth  /  Fuzzy mathematics  /  Hard rock mining  /  Sandstone
任湘霖, 曹发跃, 王硕, 魏更强, 徐世达. 基于模糊数学法的深部砂岩岩爆倾向性评价. 矿业研究与开发, 2026 , 46 (3) : 29 -36 .
Xianglin REN, Fayue CAO, Shuo WANG, Gengqiang WEI, Shida XU. Evaluation of Rock Burst Proneness of Deep Sandstone Based on Fuzzy Mathematics Method[J]. Mining Research and Development, 2026 , 46 (3) : 29 -36 .
Year 2026 volume 46 Issue 3
39
12
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  • Receive Date:2025-03-28
  • Online Date:2026-10-29
  • Published:2026-03-25
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  • Received:2025-03-28
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Affiliations
    1.National Key Laboratory of Intelligent Mining and Equipment for Deep Metal Mines, Northeastern University, Shenyang, Liaoning 110819, China
    2.Zijin Mining Group Co., Ltd., Shanghang, Fujian 364200, 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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