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Multi-dimension quantitative characterization and collaborative control technology of mining-induced fractures in western mining area
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Yanjun ZHANG1, 2, Yueguan YAN2, Xugang LIAN3, Shengliang WANG1, Jiayuan KONG2
Journal of Mining and Strata Control Engineering | 2026, 8(2) : 023023-1 - 023023-18
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Journal of Mining and Strata Control Engineering | 2026, 8(2): 023023-1-023023-18
Engineering Case
Multi-dimension quantitative characterization and collaborative control technology of mining-induced fractures in western mining area
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Yanjun ZHANG1, 2, Yueguan YAN2, Xugang LIAN3, Shengliang WANG1, Jiayuan KONG2
Affiliations
  • 1College of Vehicle and Transportation Engineering, Taiyuan University of Science and Technology, Taiyuan 030024, China
  • 2College of Geoscience and Surveying Engineering, China University of Mining and Technology-Beijing, Beijing 100083, China
  • 3College of Geological and Surveying Engineering, Taiyuan University of Technology, Taiyuan 030024, China
Published: 2026-04-25 doi: 10.13532/j.jmsce.cn10-1638/td.2025-1260
Outline
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Large-scale development of surface fractures exacerbates ecosystem degradation, damages engineering infrastructure, and poses constraints on regional ecological security and socio-economic development. To characterize the scale characteristics of fractures under high-intensity mining and establish an effective prevention and control system, this study took the 615 working face of Guanbanwusu Coal Mine as the research background. The overlying strata structure was divided under the guidance of the combined rock strata theory, and a fracture-rate-based quantitative characterization method was proposed for the fracture development process. Furthermore, quantitative relationships between the depth-thickness ratio and surface fracture scale parameters (maximum width, average penetration, and average advance distance) were revealed, and the corresponding collaborative control technology was proposed. The following beneficial findings were yielded. The overlying strata damage is divided vertically into four zones (according to the distribution of thick-hard strata and collapsed blocks) and horizontally into five zones (according to the extent of mining influence). Four combined rock strata structures of the overlying strata are determined, and stepwise breakage in overlying strata ultimately drives fractures to the surface. The intensified dilatancy of rock blocks near the goaf enhances the skewness and irregularity of the subsidence curve. The depth-thickness ratio shows a negative linear correlation with the maximum fracture width, and a negative exponential correlation with both the average penetration and advance distance. A decreasing depth-thickness ratio induces a transition in fracture type, from tensile and step-type dominance to collapse and step-type dominance. Based on these findings, the collaborative control technology of surface fractures was proposed. Key measures include optimization of mining sequences to mitigate surface subsidence, geophysical positioning combined with targeted remediation to enhance the stability of the overlying strata structural arch, and zone-specific treatment based on fracture classification and zoning. These measures conduce to facilitating the restoration of the regional ecological environment. This research provides significant insights for safeguarding regional ecological security and human settlements.

western mining area  /  surface fracture  /  scale characteristics  /  control technology  /  surface subsidence
Yanjun ZHANG, Yueguan YAN, Xugang LIAN, Shengliang WANG, Jiayuan KONG. Multi-dimension quantitative characterization and collaborative control technology of mining-induced fractures in western mining area[J]. Journal of Mining and Strata Control Engineering, 2026 , 8 (2) : 023023-1 -023023-18 . DOI: 10.13532/j.jmsce.cn10-1638/td.2025-1260
Year 2026 volume 8 Issue 2
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Article Info
doi: 10.13532/j.jmsce.cn10-1638/td.2025-1260
  • Receive Date:2025-07-10
  • Online Date:2026-05-28
  • Published:2026-04-25
Article Data
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History
  • Received:2025-07-10
  • Revised:2025-09-08
Affiliations
    1College of Vehicle and Transportation Engineering, Taiyuan University of Science and Technology, Taiyuan 030024, China
    2College of Geoscience and Surveying Engineering, China University of Mining and Technology-Beijing, Beijing 100083, China
    3College of Geological and Surveying Engineering, Taiyuan University of Technology, Taiyuan 030024, China
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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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