摘要
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 predict the rockburst intensity efficiently, the main control factors ofrockburst including the values of in-situ stresses σθ, the compressive strength σc, the tensile strength σt of rock and the elastic energy index of rock Wet were considered, and three factors ρθ/ρc,c ρc/ρt and Wet were defined as the original criterion indices for rockburst intensity prediction in the proposed model. The concept lattice was used as the reduction tool to get the maximum reductions. A comparison between the reduced concept lattice and the reduction of discernible matrix in the traditional dominance rough sets was made. Then rough sets were applied to establish the prediction model of rockburst intensity, and then preferences decision rules were generated. The quality of classification was 100% and the model was applied to predict the rockburst intensity in some projects in China. The prediction results using rough sets based on the reduced concept lattice agree well with the actual situation and those methods using three control factors. The model reduced the required control factors and improved the efficiency of prediction.
出处
《岩石力学与工程学报》
EI
CAS
CSCD
北大核心
2014年第10期2125-2131,共7页
Chinese Journal of Rock Mechanics and Engineering
基金
国家自然科学基金资助项目(51374242)
中南大学中央高校基本科研业务费专项资金资助项目(72150050692)
关键词
岩石力学
岩爆烈度
粗糙集
属性约简
约简概念格
分辨矩阵
rock mechanics
rockburst intensity
rough set
attribute reduction
reduced concept lattice
discernible matrix
