岩爆倾向性的改进有限云评价模型与工程应用

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/e_c、e₁/e_c、e_c/e_t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FLAC^3D模拟计算采场的应力值,获得e₀/e_c、e₁/e_c、e_c/e_t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。

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

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/e_c、e₁/e_c、e_c/e_t 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 FLAC^3D,and parameter values of e₀/e_c、e₁/e_c、e_c/e_t 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.