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Staged sensing method of fault sudden water based on gray correlation analysis
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Wenbin SUN1, Jiyang ZHANG1, Xiao WANG1, Hui YANG1, Jiancong FAN2, Olimov ABDUMALIK3
China Safety Science Journal | 2024, 34(7) : 63 - 70
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China Safety Science Journal | 2024, 34(7): 63-70
Safety engineering technology
Staged sensing method of fault sudden water based on gray correlation analysis
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Wenbin SUN1, Jiyang ZHANG1, Xiao WANG1, Hui YANG1, Jiancong FAN2, Olimov ABDUMALIK3
Affiliations
  • 1 College of Energy and Mining Engineering,Shandong University of Science and Technology,Qingdao Shandong 266590,China
  • 2 College of Computer Science and Engineering,Shandong University of Science and Technology,Qingdao Shandong 266590,China
  • 3 Department of Geology and Oil and Gas Works,Mining-metallurgy Institute of Tajikistan,Sugd 735730,Tajikistan
Published: 2024-07-28 doi: 10.16265/j.cnki.issn1003-3033.2024.07.2086
Outline
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In order to improve the perception level of fault water damage in coal mine,a fault water inrush stage sensing method based on fault activation evolution mechanism and key control factors was proposed. The evolution characteristics of working face floor and fault failure were studied through similar simulation tests of fault water inrush evolution process. The stage characteristics of monitoring parameters and the change of water inflow were revealed by taking the stress in the failure zone of floor,the stress in the fracture zone of fault and the water pressure in the water channel as the stage monitoring parameters. The key controlling factors of water inrush phase transformation were determined by grey correlation analysis method. Then,according to the fault water inrush analysis and research process,the fault water inrush stage perception method was proposed. The study determines that the numerical variation characteristics of monitoring parameters such as stress of floor failure zone,fault fracture zone and water pressure in water channel show obvious stage characteristics during fault activation water inrush. The order of grey correlation degree between control factors and water inflow is as follows: stress in floor failure zone > stress in fault fracture zone > water pressure in water channel,through identification of key control factors. Through the identification of key control factors,the perception of fault water inrush stage can be realized,and the perception method based on grey correlation analysis is feasible in principle.

grey correlation degree analysis method  /  fault water inrush  /  staged perception  /  key controlling factors  /  similar simulation tests
Wenbin SUN, Jiyang ZHANG, Xiao WANG, Hui YANG, Jiancong FAN, Olimov ABDUMALIK. Staged sensing method of fault sudden water based on gray correlation analysis[J]. China Safety Science Journal, 2024 , 34 (7) : 63 -70 . DOI: 10.16265/j.cnki.issn1003-3033.2024.07.2086
Year 2024 volume 34 Issue 7
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Article Info
doi: 10.16265/j.cnki.issn1003-3033.2024.07.2086
  • Receive Date:2024-01-12
  • Online Date:2025-07-09
  • Published:2024-07-28
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  • Received:2024-01-12
  • Revised:2024-04-15
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Affiliations
    1 College of Energy and Mining Engineering,Shandong University of Science and Technology,Qingdao Shandong 266590,China
    2 College of Computer Science and Engineering,Shandong University of Science and Technology,Qingdao Shandong 266590,China
    3 Department of Geology and Oil and Gas Works,Mining-metallurgy Institute of Tajikistan,Sugd 735730,Tajikistan
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

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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