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Research on Quality Evaluation Model of Deep Mine Rock Mass Based on Moment Estimation Theory-Partial Order Set
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Ming ZHU1, Peng YANG2, Qi LIU3, 4, Yajun WANG3, 4, Haiyun ZHANG3, 4
Mining Research and Development | 2025, 45(8) : 116 - 126
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Mining Research and Development | 2025, 45(8): 116-126
Research on Quality Evaluation Model of Deep Mine Rock Mass Based on Moment Estimation Theory-Partial Order Set
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Ming ZHU1, Peng YANG2, Qi LIU3, 4, Yajun WANG3, 4, Haiyun ZHANG3, 4
Affiliations
  • 1.Lanzhou Engineering & Research Institute of Nonferrous Metallurgy Co., Ltd., Lanzhou, Gansu 730099, China
  • 2.Bayannur Western Copper Co., Ltd., Bayannur, Inner Mongolia 015500, China
  • 3.Changsha Institute of Mining Research Co., Ltd., Changsha, Hunan 410012, China
  • 4.National Engineering Research Center for Metal Mining, Changsha, Hunan 410012, China
Published: 2025-08-25
Outline
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In order to improve the reliability of rock mass quality evaluation in deep mines and overcome the controversial problem of index weight assignment in traditional evaluation models, five influencing factors were selected, with the help of moment estimation theory, a reasonable descending sequence of index weight was obtained, and the partial order set was introduced into rock mass quality classification. A comprehensive evaluation model of rock mass quality in underground mines based on moment estimation theory-partial order set was proposed. The model was tested with 12 typical rock samples as sample data and compared with the results of traditional evaluation models. The results show that the evaluation results of the model are completely consistent with the evaluation results of the matter-element extension model and the unascertained measure theory, and are completely consistent with the ranking results of the VIKOR model, indicating that it can accurately realize the rock mass quality classification and has good applicability in the rock mass quality evaluation under complex geological conditions. Finally, the model was applied to the evaluation of rock mass quality of a copper mine in Anhui Province. It is determined that marble belong to class Ⅱ rock mass, serpentinite and diorite porphyrite belong to class Ⅲ rock mass, and skarn belongs to class Ⅳ rock mass, which is consistent with the field investigation. Based on the results of rock mass quality classification, the support optimization scheme is proposed, and the optimized support scheme can effectively control the deformation of roadway and ensure the long-term stability of roadway.

Deep mine rock mass  /  Rock mass quality evaluation  /  Moment estimation theory  /  Partially order set  /  Support scheme
朱明, 杨鹏, 刘奇, 王亚军, 张海云. 基于矩估计理论-偏序集的深井矿山岩体质量评价模型研究. 矿业研究与开发, 2025 , 45 (8) : 116 -126 .
Ming ZHU, Peng YANG, Qi LIU, Yajun WANG, Haiyun ZHANG. Research on Quality Evaluation Model of Deep Mine Rock Mass Based on Moment Estimation Theory-Partial Order Set[J]. Mining Research and Development, 2025 , 45 (8) : 116 -126 .
Year 2025 volume 45 Issue 8
55
16
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Article Info
  • Receive Date:2024-10-16
  • Online Date:2026-10-28
  • Published:2025-08-25
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  • Received:2024-10-16
Funding
Affiliations
    1.Lanzhou Engineering & Research Institute of Nonferrous Metallurgy Co., Ltd., Lanzhou, Gansu 730099, China
    2.Bayannur Western Copper Co., Ltd., Bayannur, Inner Mongolia 015500, China
    3.Changsha Institute of Mining Research Co., Ltd., Changsha, Hunan 410012, China
    4.National Engineering Research Center for Metal Mining, Changsha, Hunan 410012, 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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