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Quantitative Evaluation of Instability Probability of Graphite Ore Goaf Based on RSM-FLAC
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Haiwang YE1, 2, 3, Bijun DENG1, Dongfang CHEN1, 2, 3
Mining Research and Development | 2025, 45(1) : 112 - 119
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Mining Research and Development | 2025, 45(1): 112-119
Quantitative Evaluation of Instability Probability of Graphite Ore Goaf Based on RSM-FLAC
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Haiwang YE1, 2, 3, Bijun DENG1, Dongfang CHEN1, 2, 3
Affiliations
  • 1.School of Resources and Environmental Engineering, Wuhan University of Technology, Wuhan, Hubei 430070, China
  • 2.Hubei Province Key Laboratory of Processing of Mineral Resources and Environment, Wuhan University of Technology, Wuhan, Hubei 430070, China
  • 3.Key Laboratory of Green Utilization of Key Non-metallic Mineral Resources, Ministry of Education, Wuhan University of Technology, Wuhan, Hubei 430070, China
Published: 2025-01-25
Outline
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In the process of graphite mining, due to the poor stability of graphite surrounding rock, it has brought great threat to the safety production of the mine. In view of the current situation that the spatial variability of rock mass mechanical parameters was not considered in the calculation of the instability probability of graphite ore by the existing response surface method. Firstly, based on the mathematical logic of the combination of variogram and covariance function, the correlation among variables was analyzed, and a regionalized cross-correlation random field that can reflect the spatial variability of rock mass parameters was constructed. Then, combined with the failure proximity index, the limit state equation of fractured rock mass instability was constructed. Finally, the response surface method was used to analyze the failure probability of the goaf, and the quantitative evaluation of instability risk of graphite mine goaf considering parameter spatial variation structure and response surface method was realized. The results show that the instability probability of the two sides calculated by the Monte Carlo method is 17.67%, and the instability probability of the roof is 30.19%. The instability probability of the two sides calculated by the response surface method is 17.71%, and the instability probability of the roof is 29.57%. The response surface method only uses Monte Carlo method to calculate 1/4 of the time to obtain a more accurate reliability calculation result, which simplifies the calculation process and improves the calculation efficiency.

Graphite ore  /  Instability probability  /  Quantitative evaluation  /  Monte Carlo method  /  Response surface method
叶海旺, 邓毕军, 陈东方. 基于RSM-FLAC的石墨矿采空区失稳概率定量评价. 矿业研究与开发, 2025 , 45 (1) : 112 -119 .
Haiwang YE, Bijun DENG, Dongfang CHEN. Quantitative Evaluation of Instability Probability of Graphite Ore Goaf Based on RSM-FLAC[J]. Mining Research and Development, 2025 , 45 (1) : 112 -119 .
Year 2025 volume 45 Issue 1
68
35
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  • Receive Date:2024-01-16
  • Online Date:2026-10-29
  • Published:2025-01-25
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  • Received:2024-01-16
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Affiliations
    1.School of Resources and Environmental Engineering, Wuhan University of Technology, Wuhan, Hubei 430070, China
    2.Hubei Province Key Laboratory of Processing of Mineral Resources and Environment, Wuhan University of Technology, Wuhan, Hubei 430070, China
    3.Key Laboratory of Green Utilization of Key Non-metallic Mineral Resources, Ministry of Education, Wuhan University of Technology, Wuhan, Hubei 430070, 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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