我国煤岩动力灾害模拟试验仪器研制现状与关键难题

Current status of development and key challenges of coal and rock dynamic disaster simulation test instruments in China

  • 摘要:
    背景 煤岩动力灾害是采动扰动作用下煤岩层多相多场耦合失稳导致的工程灾害,严重制约深部资源安全开采。阐明煤岩动力灾害机理是探索有效监测预警与防控技术的基础,而模拟试验仪器则是研究其致灾机理的重要工具。随着科技水平的逐渐提高,我国自主研制的模拟试验仪器在不断完善和进步,而随着工程活动逐渐向深部发展,深部地层的多相多场赋存环境对模拟试验仪器的功能与结构提出了更高的要求。
    方法 利用CiteSpace软件系统梳理我国近50年来煤岩动力灾害模拟试验仪器研制相关文献,从仪器结构与功能、多场环境模拟、监测装置与方法等3个方面系统总结仪器的发展趋势及研制现状。
    结果和结论 我国煤岩动力灾害模拟试验仪器经历了单向、双向及三向加载的发展历程,实现了煤岩层真实三向应力环境的模拟,通过引入动载扰动模块,设计出动静组合式真三轴加载结构,实现了对各类工程采动扰动的模拟。仪器可模拟的多场环境从单一的应力场逐步发展为“流−固”耦合两场(应力场、渗流场)、“热−固−流”耦合多场,逐步实现真实地层复杂多物理场环境的模拟。监测装置与方法由常规的应力应变监测逐步发展为多元信息监测,实现灾变过程孕灾及前兆信息的精准捕获。深地工程处于复杂的多相多场孕灾环境,现有仪器仍然难以真实还原这种复杂孕灾环境,煤岩动力灾害模拟试验仪器未来需突破3个关键难题,一是设备结构与功能需实现地层真实应力环境及多应变率工程扰动的模拟;二是需实现应力场、渗流场、温度场等多场耦合环境的原态模拟;三是需发展动态捕获多场参数演化的监测装置与方法,引入人工智能相关技术手段,实现灾变过程原场再现。

     

    Abstract:
    Background Coal and rock dynamic disasters are engineering hazards caused by the multi-phase and multi-field coupling instability of coal seams under mining-induced disturbances, which severely restrict the safe extraction of deep resources. Elucidating the mechanism of coal and rock dynamic disasters is the foundation for exploring effective monitoring, early warning, and prevention technologies, while simulation testing apparatus serves as a crucial tool for studying their disaster-causing mechanisms. With the gradual advancement of technological capabilities, China's independently developed simulation testing apparatus has been continuously refined and improved. However, as engineering activities progressively extend to greater depths, the multi-phase and multi-field environment of deep strata imposes higher demands on the functionality and structure of simulation testing apparatus.
    Methods To address this, CiteSpace software was employed to systematically review the literature from the past 50 years in China on the development of simulation testing apparatus for coal and rock dynamic disasters.The development trends and current status of these instruments were comprehensively summarized from three aspects: instrument structure and function, multi-field environment simulation, and monitoring devices and methods.
    Results and Conclusions  The simulation test instruments for coal and rock dynamic disasters in China have undergone a development process from unidirectional, bidirectional to triaxial loading, realizing the simulation of the real triaxial stress environment of coal-rock strata. By introducing a dynamic load disturbance module, a static-dynamic combined true triaxial loading structure was designed, enabling the simulation of various types of engineering mining disturbances. The multi-field environments that the instruments can simulate have evolved from a single stress field to fluid-solid coupled two fields (stress field and seepage field), and further to thermo-solid-fluid coupled multi-fields, gradually achieving the simulation of the complex multi-physical field environment of real strata. The monitoring devices and methods have advanced from conventional stress-strain monitoring to multi-dimensional information monitoring (encompassing force, acoustics, optics, electricity, vibration, and heat),realizing the accurate capture of disaster-breeding and precursor information during the disaster evolution process. However, deep underground engineering is situated in a complex multi-phase and multi-field disaster-breeding environment, and existing instruments still struggle to truly replicate this complex environment. Three key challenges need to be addressed for future simulation test instruments: First, the instrument structure and function should enable the simulation of the real in-situ stress environment of strata and engineering disturbances with multiple strain rates; Second, it is necessary to achieve in-situ simulation of multi-field coupling environments, including stress field, seepage field, and temperature field; Third, it is essential to develop monitoring devices and methods for dynamically capturing the evolution of multi-field parameters, and introduce artificial intelligence-related technologies to realize the in-situ reproduction of the disaster evolution process.

     

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