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为了对岩爆烈度进行高效判别,综合考虑影响岩爆的主要因素,包括最大切向应力ρθ、岩石抗压强度ρc、岩石抗拉强度ρt和弹性能量指数Wet,并以ρθ/ρc,c ρc/ρt和Wet作为岩爆烈度的最初判别指标。利用概念格为约简工具对判别指标进行约简,得到最大可约简属性集,并与传统粗糙集中的分辨矩阵约简结果进行对比,然后利用粗糙集建立岩爆烈度判别模型,生成最少偏好规则集,判别对象的分类质量为100%,最后将该模型应用于国内几处工程的岩爆烈度判别。研究结果表明:约简概念格的粗糙集用于岩爆烈度判别结果与实际情况及其他利用3项指标的评判模型所得的结果一致,该模型减少岩爆烈度判别所需的指标,提高了判别效率。
In order to discriminate the rockburst intensity effectively, the main factors affecting the rockburst are comprehensively considered, including the maximum tangential stress ρθ, rock compressive strength ρc, rock tensile strength ρt and elastic energy index Wet, and taking ρθ / ρc, c ρc / ρt and Wet as the initial discriminant of rockburst intensity. Using the concept lattice as reduction tool to reduce the discriminant index, the maximum reducible attribute set is obtained, which is compared with the reduction result of the resolution matrix in the traditional rough set. Then the rough set is used to establish the rockburst discriminant model to generate the least preference Rule set, the classification quality of discriminant object is 100%. Finally, the model is applied to the rockburst discrimination of several projects in China. The results show that the results of rough set reduction of rockburst for the determination of rockburst intensity are consistent with the actual situation and other results obtained from the evaluation model using three indicators. The model reduces the indices needed for discriminating rockburst intensity and improves discrimination effectiveness.