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煤层采动多场耦合研究进展及展望

Research progress and prospect of multi-field coupling of coal seam mining

  • 摘要: 为保障煤炭资源安全高效开采, 发挥其国民经济“压舱石”作用, 揭示采动下应力−渗流−温度−化学场动态交互与协同演化机制具有重要意义。综述了煤层采动多场耦合演化机制、试验技术及数值仿真方法的研究现状, 并对未来的研究重点与方向提出了建议。首先, 系统梳理了煤岩力−流、力−热−流及力−流−化−热等多场耦合作用机理, 并总结了考虑统计损伤与分形理论的非线性跨尺度本构模型; 然后, 详细介绍了从真三轴多场协同加载、细观损伤实时观测到工程尺度固−流(气/液)相似模拟的试验技术体系; 最后, 对比分析了多场耦合的数值求解策略及主流仿真平台在处理非连续大变形问题上的优劣。通过对现有研究的系统梳理, 指出复杂应力路径损伤演化机理、跨尺度级联效应以及深部高地温环境下的多场交互机制是当前研究难点。此外, 厘定深部关键耦合因子集、突破原位精准探测技术以及深化人工智能与多场耦合物理模型的融合, 有望为深部煤炭资源智慧开采与灾害智能预警提供高效、智能的解决方案。

     

    Abstract: A thorough understanding of the dynamic interaction and synergistic evolution mechanisms of stress, seepage, temperature, and chemical fields under mining disturbances is of great significance for ensuring the safe and efficient extraction of coal resources, which serve as the "ballast" of the national economy. This paper reviews the current research status of multi-field coupling evolution mechanisms, experimental techniques, and numerical simulation methods in mining activities, and proposes suggestions for future research priorities. First, the multi-field coupling mechanisms, including hydro-mechanical, thermo-hydro-mechanical, and thermo-hydro-mechanical-chemical, are systematically analyzed, and nonlinear cross-scale constitutive models based on statistical damage and fractal theories are summarized. Second, the experimental technology system is detailed, ranging from true triaxial multi-field synergistic loading and real-time meso-scale damage observations to engineering-scale solid-gas/solid-liquid similarity simulations. Finally, the numerical solution strategies for multi-field coupling and the pros and cons of mainstream simulation platforms in handling discontinuous large-deformation problems are compared and evaluated. Through a systematic review of existing research, it is pointed out that damage evolution mechanisms under complex stress paths, cross-scale cascade effects, and multi-field interaction mechanisms in deep high-temperature environments still require further clarification. Furthermore, identifying the set of key coupling factors in deep strata, breaking through in-situ precise detection technologies, and deepening the integration of artificial intelligence with multi-field coupling physical models are expected to provide more efficient and intelligent solutions for the smart mining of deep coal resources and intelligent disaster early warning.

     

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