基于物元爆破效果评价模型的爆破参数优化研究

发布时间：2018-04-25 09:24

本文选题：BP神经网络 + 台阶爆破效果　；参考：《江西理工大学》2015年硕士论文

【摘要】：对于露天矿山选择合理的爆破参数以及保证台阶爆破效果是台阶爆破向更加安全、更加经济、更佳环保的方向发展基础。针对该矿山台阶爆破后的大块率高和炸药单耗大的现象,有必要对台阶爆破的参数进一步优化研究,确保其爆破效果更佳理想。主要研究内容如下:1、首先对表征爆破效果不同的指标进行量化分级,即根据层次分析法确定其对应的权值结合评价的过程中确定的物元矩阵、经典域和节域,经过matlab编程算得其综合关联度,应用关联度最大原则确定其爆破效果的等级。应用物元方法对露天矿山的台阶爆破效果进行评价时,能够更加全面的把握不同评价指标之间的相互关系,同时通过现场的爆破试验对比其爆破效果等级是一致性,来证明建立物元模型方法对评价爆破效果有效性。2、准确的掌握爆破效果影响因素影响比重能够为今后设计爆破参数提供合理的借鉴素材。利用层次分析法对影响因素进行总体权值连续排序,结果表明需要更加重视在炸药单耗、岩体结构整体性等方面对爆破效果的影响。3、结合现场爆破试验数据建立神经网络预测的模型,并通过现场对比优化前后参数产生的平均块度和大块率的变化来验证参数优化的合理性,并结合物元模型对两次效果进行客观评价,进一步验证评价模型的可靠性。
[Abstract]:The selection of reasonable blasting parameters and the guarantee of bench blasting effect for open-pit mines are the basis for the development of bench blasting towards the direction of more safety, more economic and better environmental protection. In view of the phenomenon of high boulder rate and high explosive unit consumption after bench blasting in this mine, it is necessary to further optimize the parameters of bench blasting in order to ensure the better blasting effect. The main contents of this study are as follows: firstly, the quantitative classification of the indexes representing different blasting effects is carried out, that is, the matter element matrix, classical domain and segment domain, which are determined in the process of evaluating the corresponding weights according to the analytic hierarchy process. The comprehensive correlation degree is calculated by matlab programming, and the grade of blasting effect is determined by applying the maximum correlation degree principle. When the matter-element method is used to evaluate the bench blasting effect in open-pit mines, the relationship between different evaluation indexes can be grasped more comprehensively, and the blasting effect grade is consistent through the field blasting test. It is proved that the establishment of matter-element model method can provide reasonable reference material for the design of blasting parameters in the future. The analytic hierarchy process (AHP) is used to sequence the total weights of the factors. The results show that more attention needs to be paid to the unit consumption of explosives. The influence of structural integrity of rock mass on blasting effect. 3. Combined with field blasting test data, the model of neural network prediction is established. The rationality of parameter optimization is verified by comparing the changes of average block size and bulk rate before and after optimization, and the reliability of the evaluation model is further verified by objective evaluation of the secondary effect with matter-element model.
【学位授予单位】：江西理工大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TD235

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