首页|Enhancing mine groundwater system prediction:Full-process simulation of mining-induced spatio-temporal variations in hydraulic conductivities via modularized modeling

Enhancing mine groundwater system prediction:Full-process simulation of mining-induced spatio-temporal variations in hydraulic conductivities via modularized modeling

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The intricate interplay between rock mechanics and fracture-induced fluid flow during resource extrac-tion exerts profound effects on groundwater systems,posing a pivotal challenge for promoting green and safe development in underground engineering.To address this,a novel numerical model with an explicit coupling simulation strategy is presented.This model integrates distinct modules for individual physical mechanisms,ensuring second-order accuracy through shared time integration,thereby overcoming lim-itations in simulating mining-induced strata damage,water flow,and permeability dynamics.A novel mathematical model is incorporated into the mechanical simulation to characterize the abrupt increase in permeability resulting from rock fracture propagation.This increase is quantified by evaluating the plastic damage state of rocks and incorporating a damage coefficient that is intrinsically linked to rock strength.The mechanical model tracks permeability changes due to mining.The flow model simulates aquifer-mine water interactions by calculating hydraulic conductivity and using dynamic zoning,adapt-ing to mining progress.When applied to a case study of a complex mine,this approach significantly improved the accuracy of water inflow rate predictions by 57%.

Time-dependent permeabilityOverburden damageMine water inflowFluid-mechanical interactionModular simulation

Shihao Meng、Qiang Wu、Yifan Zeng、Leiyu Gu

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National Engineering Research Center of Coal Mine Water Hazard Controlling,China University of Mining and Technology-Beijing,Beijing 100083,China

National Mine Safety Administration Key Laboratory of Mine Water Hazard Controlling,Beijing 100083,China

University of Mining and Technology (Beijing) Inner Mongolia Research Institute,Inner Mongolia 017000,China

China Huaneng Coal Technology Research Co.,Ltd.,Beijing 100031,China

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2024

矿业科学技术学报(英文版)
中国矿业大学

矿业科学技术学报(英文版)

CSTPCDEI
影响因子:1.222
ISSN:2095-2686
年,卷(期):2024.34(12)