基于多维度的围岩岩体质量分级及强度估计
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1.鞍钢集团矿业弓长岭有限公司露采分公司, 辽宁 辽阳 111008 ; 2.中国恩菲工程技术有限公司, 北京 100038 ;3.北京科技大学金属矿山高效开采与安全教育部重点实验室, 北京 100083

作者简介:

洪大华(1970—),男,鞍钢集团鞍山矿业公司生产部工程师,主要从事煤矿安全生产管理工作。

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TD854

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弓长岭独木采区西北帮地下开采及地质环境影响研究(项目号:2023-科 A04)


Multi-dimensional-based Quality Classification and Strength Estimation of Ore and Rock Masses
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    摘要:

    本文以弓长岭铁矿露天开采工程为研究对象,基于定量 GSI 指标和 Hoek-Brown(H-B)强度准则,计算获得 H-B 强度参数,继而通过数学拟合方法转换为等效 Mohr-Coulomb(M-C)强度参数,为工程设计与施工提供理论依据。 并引入可拓学理论, 结合多种传统分级方法,基于 D-S 证据理论融合各岩体质量分级结果建立岩体质量综合评价模型。 研究结果表明:采用岩体声波测试,其结果表明目标钻孔岩体完整性的分布特征,为矿山工程稳定性评估和开采设计提供了关键的地质力学依据;建立地质强度指标(GSI)定量化方法与 Hoek-Brown(H-B)强度准则相结合的评估体系,精确测定了目标岩体的 H-B 强度特征值。 基于数值拟合,进一步推导出与之等效的 Mohr-Coulomb(M-C)强度参数,为岩体稳定性数值模拟奠定了可靠的数据基础; 采用 RMR、Q、BQ、可拓学理论及 D-S 证据理论综合评价进行多维度分级,最终明确各目标岩体的质量等级。

    Abstract:

    Therefore, taking the open-pit mining project of Gongchangling Iron Mine as the research object, based on quantitative GSI index and Hoek Brown (H-B) strength criterion, the H-B strength parameters were calculated and obtained, and then converted into equivalent Mohr Coulomb (M-C) strength parameters through mathematical fitting method, providing theoretical basis for engineering design and construction. And by introducing the theory of extension and combining various traditional grading methods, a comprehensive evaluation model for rock mass quality is established based on the D-S evidence theory and the fusion of various rock mass quality grading results. The research results indicate that the use of rock acoustic testing reveals the distribution characteristics of the integrity and weathering degree of the target borehole rock mass, providing key geomechanical basis for the stability assessment and mining design of mining engineering; A quantitative evaluation system combining Geological Strength Index (GSI) and Hoek Brown (H-B) strength criterion was established to accurately determine the H-B strength characteristic values of the target rock mass. Based on numerical fitting, the equivalent Mohr Coulomb (M-C) strength parameters were further derived, laying a reliable data foundation for numerical simulation of rock mass stability; Using RMR, Q, BQ, extension theory, and D-S evidence theory for comprehensive evaluation, multi-dimensional grading is carried out to ultimately determine the quality level of each target rock mass.

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洪大华, 王峰, 张忠政, 等. 基于多维度的围岩岩体质量分级及强度估计[J]. 中国矿山工程,2025,54(6):61 - 69.

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  • 在线发布日期: 2026-03-11
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