中国安全科学学报 ›› 2022, Vol. 32 ›› Issue (2): 90-98.doi: 10.16265/j.cnki.issn1003-3033.2022.02.013

• 安全工程技术 • 上一篇    下一篇

岩爆倾向性的改进有限云评价模型与工程应用

胡建华(), 黄鹏莅, 周坦, 温观平, 杨东杰   

  1. 中南大学 资源与安全工程学院,湖南 长沙 410083
  • 收稿日期:2021-11-25 修回日期:2022-01-05 出版日期:2022-08-18 发布日期:2022-08-28
  • 作者简介:

    胡建华 (1975—),男,湖南衡南人,博士,教授,主要从事非传统采矿与工程稳定性研究。E-mail:

  • 基金资助:
    国家重点研发计划(2017YFC0602901)

Evaluation and engineering application of an improved finite cloud model for rockburst proneness

HU Jianhua(), HUANG Pengli, ZHOU Tan, WEN Guanping, YANG Dongjie   

  1. School of Resources and Safety Engineering, Central South University, Changsha Hunan 410083, China
  • Received:2021-11-25 Revised:2022-01-05 Online:2022-08-18 Published:2022-08-28

摘要:

为解决深部开采顶板岩爆评价问题,以挑水河磷矿为例,提出由3个岩爆倾向性评价指标e0/ece1/ecec/et组成的综合性评价指标体系,采用消除云雾化的综合权重法,建立顶板多指标岩爆倾向性的改进有限云评价模型;通过FLAC3D模拟计算采场的应力值,获得e0/ece1/ecec/et的参数值;开展挑水河磷矿顶板岩爆倾向性评价,根据最大隶属度原则判定挑水河磷矿顶板的岩爆倾向性。结果表明:挑水河磷矿深部采场顶板为弱岩爆倾向性,与实际情况相符;对比其他方法结果,证明模型具备准确性;提出岩爆危险区域进行标示、支护和监测的控制措施。

关键词: 岩爆倾向性, 改进有限云评价模型, 综合权重, 权重云, 采动应力

Abstract:

In order to evaluate rockburst in deep mining, with Tiaoshui river Phosphorite Mine being taken as an example, a comprehensive evaluation system of 3 rockburst proneness indexes e0/ece1/ecec/et were put forward, and comprehensive weight method which was able to eliminate cloud atomization was adopted to develop an improved finite cloud evaluation model for roof multi-index rockburst proneness. Then, stress value of the stope was calculated by FLAC3D, and parameter values of e0/ece1/ecec/et were obtained. Finally, evaluation experiment on Tiaoshui river Phosphate Mine was carried out, and rockburst proneness of its top slab was determined according to the principle of maximum membership. The results show that the roof of its deep stope has a weak rockburst proneness, which is consistent with actual situation. Compared with the results of other methods, this model features good accuracy. Moreover, control measures, like identification, supporting and monitoring of rockburst hazard areas, are proposed.

Key words: rockburst proneness, evaluation model of improved finite cloud, comprehensive weight, weight cloud, mining-induced stress