Mathews稳定图在矿山稳定性评估中的研究现状及展望

Research status and prospects of Mathews stability graph method in mine stability assessment

  • 摘要: Mathews稳定图法自1981年提出,已成为硬岩空场法开采稳定性评估的重要经验工具。该方法针对深部高应力采矿问题,通过改进NGI岩体分类系统,引入修正Q′值及应力、节理与重力三类因子,结合水力半径构建稳定数N,形成经验稳定性图表。然而,由于国内矿山普遍岩体破碎、地应力复杂,直接应用存在局限性。为此,研究通过持续扩增数据库、精细化各因子计算模型,并引入概率统计与机器学习技术,推动该方法从经验判断向定量化、智能化评估体系演进。目前它已发展成为融合数值模拟与工程经验的综合分析工具。未来需面向国内地质条件进行本地化校准,构建适用于破碎矿体与高应力环境的因子体系,并与动态监测技术结合。其对行业的核心贡献在于提供了一种参数简便、适用于初步设计的稳定性评估方法,显著提升了采场设计的科学性与可靠性,为深部及复杂矿体安全开采提供了持续优化的分析框架。

     

    Abstract: Since its introduction in 1981, the Mathews stability graph method has become a key empirical tool for stability assessment in hard rock open stoping. This method addresses the challenges of deep, high-stress mining by modifying the NGI rock mass classification system. It incorporates a modified Q′ value along with three key adjustment factors—stress, joint orientation, and gravity—and combines them with the hydraulic radius to form the stability number N, ultimately creating an empirical stability chart. However, its direct application faces limitations in many Chinese mines due to prevalent fractured rock masses and complex in-situ stress conditions. To address this, research has focused on continuously expanding the database, refining the calculation models for each factor, and integrating probabilistic statistics and machine learning techniques. This has driven the evolution of the method from an empirical judgment tool towards a more quantitative and intelligent assessment system. Today, it has developed into a comprehensive analytical tool that integrates numerical modelling and engineering experience. Looking ahead, there is a need for localization and calibration to suit domestic geological conditions, developing a factor system applicable to fractured ore bodies and high-stress environments, and integrating it with dynamic monitoring technologies. Its core contribution to the industry lies in providing a stability assessment method with straightforward parameters, suitable for preliminary design. This has significantly enhanced the scientific rigor and reliability of stope design, offering a continuously optimizable analytical framework for the safe mining of deep and complex ore bodies.

     

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