基于多因素的全尾砂胶结充填材料力学性能研究

Mechanical properties of cemented filling materials with tailing based on multiple factors

胶结充填材料及配合比既是决定充填材料力学性能的关键指标,又是影响充填成本的主要因素。灰砂比、充填浓度、养护龄期等多因素对充填材料力学性能的影响程度不同,同时不同因素在对充填材料力学性能的影响方面彼此又有潜在的联系。为全面考察不同因素对全尾砂胶结充填材料力学性能的影响,本文以厂坝铅锌矿为依托,基于产能、技术和经济指标要求,以不同灰砂比、充填浓度、养护龄期下充填试块的强度参数为依据,展开了多因素下全尾砂胶结充填材料的力学性能试验研究。为准确获得试验信息,对多因素、多水平的系统问题进行了正交试验设计。通过对试验结果的多因素极差、方差分析,分析了不同因素影响全尾砂胶结充填材料力学性能的显著性程度,找出了最优化的配比条件,同时利用CIA800-3D超景深三维显微镜从微观角度对多因素下全尾砂胶结充填材料的力学性能进行了研究,最后在综合分析了多因素对全尾砂胶结充填材料力学性能影响的基础上,利用SOM神经网络技术,建立了不同养护龄期下全尾砂胶结充填材料的预测模型。研究结果表明,多因素下的全尾砂胶结充填材料力学性能的试验研究及预测模型的建立,对开展全尾砂胶结充填材料力学性能的研究探索了一种新的途径,为充填系统的设计和运行提供了可靠的技术保证。

The cemented filling material and its mixture ratio are not only the key indexes that determine the mechanical properties of the filling material,but also the main factors that affect the filling cost.Many factors,have different degrees of influence on the mechanical properties of filling materials,such as lime sand ratio,filling concentration and curing age;meanwhile,different factors are potentially related to each other in terms of their influence on the mechanical properties of filling materials.To comprehensively inspect the influence of different factors on the performance of the backfilling cementation filling material mechanics,the mechanical performance test research on the backfilling cementation filling material under many factors was launched in this paper,based on plant dam lead-zinc mine and the requirement of production capacity,technical and economic indexes,on the basis of the strength parameters in different concentration of contrast,filling,filling block and under different curing age.In order to obtain the test information accurately,the orthogonal test design was carried out for the multi-factor and multi-level system problems.Based on the results of multivariate range and variance analysis between many factors,the significance degree of the different factors affecting the backfilling material mechanical properties of cemented filling was investigated,and,the optimum matching conditions was obtained;meanwhile,the mechanical properties of the backfilling cemented filling was studied,using CIA800-3 d super depth of field three-dimensional microscope under multiple factors from the angle of the micro,finally,based on the comprehensive analysis of several factors on the backfilling cemented filling material mechanics performance impact,using SOM neural network technology,the forecast model of backfilling cemented filling materials was set up under different curing ages.The results indicated that the experimental study and the establishment of prediction model of mechanical properties of the cemented filling materials with tailing under multiple factors explore a new way to study the mechanical properties of the cementing and filling materials with tailing,and provide a reliable technical guarantee for the design and operation of the filling system.