【摘要】 随着矿山开采深度增加，高地应力和复杂地质环境的共同作用导致岩爆灾害事故频发，但目前缺乏考虑多因素影响的深部矿岩岩爆倾向性综合评价方法。基于新疆某铁矿矿岩岩石力学参数测试，分别采用强度脆性系数、改进脆性指数、最大储存弹性应变能和应变能指数4种指标对-450～-600 m中段矿岩的岩爆倾向性进行评价，发现基于不同的单个指标得到的评价结果离散性较大，仅凭单一指标难以准确判定实际岩爆倾向性。在此基础上，构建了基于模糊数学法与熵权法相结合的的岩爆倾向性综合评价模型，对该矿-450～-600 m各中段的砂岩岩爆倾向性进行综合评判，岩爆倾向性均为中等岩爆倾向。现场实地勘察结果显示，基于模糊数学法的多指标岩爆倾向性综合评价方法得到的评价结果与现场破坏情况一致，能够准确评价岩爆倾向性等级。研究成果可为矿山安全生产和岩爆防治提供理论依据与技术支持。更多还原

【Abstract】 As mining depths increase, the synergistic effect of high in-situ stress and complex geological environments leads to frequent rock burst incidents. However, there is carrently a lack of comprehensive evaluation methods for the rock burst proneness of deep rock masses that accounts for multi-factor influences. Based on rock mechanics parameter tests conducted at an iron mine in the Xinjiang Uygur Autonomous Region, the rock burst proneness of the rock mass in the-450 m to-600 m level was evaluated using four indicators: the strength brittleness coefficient, the improved brittleness index, the maximum storage elastic strain energy, and the strain energy index. The results indicate significant dispersion among the evaluation results obtained by using different single indicators, rendering it difficult to accurately determine the actual rock burst proneness relying solely on an individual metric. Consequently, a comprehensive evaluation model for rock burst proneness was established by integrating the fuzzy mathematics method and the entropy weight method. A comprehensive assessment of the sandstone rock burst proneness in the-450 m to-600 m level of the mine was performed, revealing a moderate rock burst proneness across all cases. On-site investigations demonstrate that the evaluation results generated by the multi-indicator comprehensive evaluation method based on fuzzy mathematics align closely with the actual in-situ damage conditions, facilitating an accurate assessment of the rock burst proneness grade. These findings provide a rock bust theoretical basis and technical support for safe mine production and rock burst mitigation.更多还原