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数字岩石力学工程探索与实践

Exploration and practice in digital rock mechanics engineering

  • 摘要: 传统采矿工程长期面临“开采与风险并存”的困境,其高风险属性与资源贡献的双重性在深部开采条件下愈发凸显。随着煤矿开采深度增加,静态地质条件恶化与动态工程扰动叠加,巷道围岩失稳、采场破坏等问题频发,传统岩石力学理论基于简化假设的局限性越难以适应复杂工程场景的需求。近年来煤矿数字化、智能化建设取得显著进展,传感器技术的普及大幅提升了工程状态感知能力,但数据治理碎片化、理论认知滞后与工程实践脱节等问题,导致数字化技术陷入“华而不实”的瓶颈。针对上述挑战,数字岩石力学解决方案通过融合数据规律、力学逻辑与工程经验,提出“全面感知−数字驱动−主动解危−卸压开采”的技术路径,旨在构建以数字工程为核心的科学采矿新范式。具体而言,通过数字勘探与三维建模激活静态地质信息(地质保障先行建立透明开采基础),借助智能感知与机器学习优化动态工程环境(设计源头防灾形成友好开采工程环境),实现从“被动应对”到“主动防控”的转变(数字工程技术实现精准卸压与联动控制的自主联动)。这一路径不仅解决了深部开采中巷道变形、采场失稳等关键技术难题,推动了工程致灾向工程防灾创新与变革,而且为千米深井安全高效开采提供支撑。数字岩石力学工程化范式有望重塑地下岩石工程,为煤炭及更广领域提供可持续、安全、智能的新方案。

     

    Abstract: Traditional mining engineering has long been trapped in the dilemma of “coexistence of mining operations and inherent risks”. The duality of its high-risk nature and resource contribution has become increasingly prominent under deep mining conditions. As coal mining depth increases, the superposition of deteriorating static geological conditions and dynamic engineering disturbances frequently triggers problems such as roadway surrounding rock instability and stope failure. Conventional rock mechanics theories, relying heavily on simplified assumptions, are increasingly inadequate in complex engineering scenarios. In recent years, remarkable advancements have been made in coal mine digitalization and intellectualization; the popularization of sensor technology has significantly enhanced engineering condition perception capabilities. However, issues including fragmented data governance, lagging theoretical cognition, and disconnection between theory and engineering practice have led digital technologies to fall into a “flashy but impractical” bottleneck. To address these challenges, a digital rock mechanics solution is proposed by integrating data regularity, mechanical logic, and engineering experience. It establishes a technical pathway of “comprehensive perception-digital-driven-proactive hazard mitigation-pressure-relief mining”, aiming to construct a new paradigm of scientific mining centred on digital engineering. Specifically: Static geological information is activated through digital exploration and 3D modeling (geological assurance first, laying the foundation for transparent mining); The dynamic engineering environment is optimized via intelligent perception and machine learning (hazard prevention at the design source, forging a mining-friendly engineering setting); The transformation from “passive response” to “active prevention and control” is realized (digital engineering technologies enabling precise pressure relief and autonomous linkage of coordinated control). This pathway not only resolves key technical bottlenecks, such as roadway deformation and stope instability in deep mining, promoting innovation and transformation from engineering disaster causation to engineering disaster prevention, but also facilitates the safe and efficient mining of kilometre-deep wells, thereby safeguarding national energy security. The engineering paradigm of digital rock mechanics is expected to revolutionize underground rock engineering, offering sustainable, safe, and intelligent solutions for the coal industry and related fields.

     

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