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为探讨自然崩落法放矿过程中废石细颗粒的渗移规律及诱因,利用离散元软件EDEM分别从粗细颗粒数量比、直径比及矿岩含水率三个方面对细颗粒的渗移过程进行模拟,并设置标志颗粒对不同区域的相邻粗细颗粒进行跟踪.研究结果表明:放矿提前贫化率随粗细颗粒数量比的增大不断降低;废石细颗粒渗移速率随粗细颗粒直径比的增大而增大,且受含水率影响显著;相邻位置的细颗粒的渗移速度大于粗颗粒的下降速度.研究结果为进一步探讨矿石损失贫化、确定采场结构参数及优化放矿管理制度提供理论支持.
In order to discuss the rule and inducement of the fine particles of the waste rock during the natural caving process, the process of the leaching of the fine particles was carried out by the discrete element software EDEM from the aspects of the ratio of the number of the fine particles, the diameter ratio and the water content of the rock, The results show that the advance rate of ore leaching decreases with the increase of the ratio of the number of coarse to fine particles. The rate of fine particle transfer of waste rock increases with the increase of the ratio of the particle size , And the influence of moisture content is significant.The permeation rate of fine particles in adjacent positions is greater than that of coarse particles.The results of this study are to further explore the ore loss and depletion, determine the stope structure parameters and optimize the ore discharge Management system to provide theoretical support.