论文部分内容阅读
针对思山岭铁矿深埋厚大矿体所采用的阶段矿房嗣后充填采矿法的结构参数优化问题,基于正交试验方法设计了16种模拟方案,运用FLAC3D进行数值计算,建立了表征采场结构参数的5个因素与表征采场稳定性的8项指标之间的对应关系。将得到的16组对应关系作为SOM模型的输入数据集,经过无监督的竞争学习,建立SOM模型。基于所建立的SOM模型,完成了扩展方案的正向预测、结构参数反向预测以及影响采场稳定性的主因素分析等工作。研究结果表明:采场长度对采场稳定性影响最大,采场高度次之,其他因素影响相对较小。适合思山岭深埋矿体采矿方法的最佳采场参数为:段高100 m,采场长50 m,矿房和矿柱宽度15 m,尾砂充填。
In order to solve the structural parameter optimization problem of the post-filling mining method of the stage mined-out house adopted by the deep thick and big ore body in the Sishanling iron mine, 16 simulation schemes are designed based on the orthogonal test method, and the numerical calculation is made by FLAC3D. The relationship between the five factors of structural parameters and the eight indexes that characterize the stope stability. The 16 correspondences are obtained as input data sets of SOM model, and through unsupervised competitive learning, a SOM model is established. Based on the established SOM model, the forward prediction of the extended scheme, the reverse prediction of structural parameters and the analysis of the main factors affecting the stability of stope are completed. The results show that the stope length has the most significant influence on stope stability, the stope height has the second highest effect, and the other factors have a relatively small influence. The optimum stope parameters suitable for deep orebody mining in Sanshan Mountain are: section height of 100 m, stope length of 50 m, width of 15 m ore column and pillar, tailings filling.