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昆明冶金高等专科学校学报 ›› 2025, Vol. 41 ›› Issue (1): 30-.DOI: 10.3969/j.issn.1009-0479.2025.01.005

• 冶金技术与材料 • 上一篇    

基于爆破漏斗试验某地下铅锌矿参数研究

  

  1. 1.昆明冶金高等专科学校冶金与矿业学院,云南 昆明 650033; 2.云南铜业股份有限公司矿山研究院,云南 昆明 650051;3.玉溪矿业有限公司,云南 玉溪 65340
  • 收稿日期:2024-07-09 出版日期:2025-02-07 发布日期:2025-09-28
  • 作者简介:何丽华 (1978-),女,云南石屏人,副教授,工学硕士,主要从事采矿、安全专业教学与研究。

Study on the Parameters of an Underground Lead-ZincMine Based on Blasting Funnel Test

  1. 1. Faculty of Metallurgy and Mining Engineering, Kunming Metallurgy College, Kunming 650033, China;2. Mining Researeh Institute of Yunnan Copper Co., Ltd., Kunming 650051, China;3. Yuxi Mining Co., Ltd.,Yuxi 653405,Yunan, China
  • Received:2024-07-09 Online:2025-02-07 Published:2025-09-28

摘要: 云南某地下铅锌矿目前存在爆破效果差、大块率较高等现象,在很大程度上造成经济成本增加。随着 开采工作的继续,不同区域的矿岩差异复杂多变,单一的爆破参数组已不再适用于矿山采矿工程。为优化该矿 山的爆破参数,改善现场生产爆破效果,基于利文斯顿爆破漏斗实验理论,以该矿 402矿区边帮上进行不耦合 装药系列漏斗试验,得出最佳漏斗的孔深、半径、临界埋深、体积、孔距及抵抗线分别为 055m、05m、 11m、0129m3 、11m及 085m;并对单孔变孔深爆破后碎块进行收集、筛分及不同粒径块度进行统计,利 用 RR函数对不同粒径块度进行预测,发现 RR函数能够较好地预测爆破块度的分布,得出的参数能为后期现 场生产爆破参数优化提供理论支撑。

关键词: 地下开采, 爆破漏斗试验, 爆破块度, 最佳漏斗参数

Abstract:  Currently, an underground lead-zinc mine in Yunnan is facing issues such as poor blastingelfects and high block rates , which significantly inerease economic costs. As mining operations continue,the ore and rock characteristics in dilferent areas become increasingly complex and variable, making asingle set of blasting parameters unsuitable for the mining operations. To optimize the blasting parametersand improve the blasting efect in on-site production, a series of uncoupled charge crater tests were con-ducted on the side of the 402 mining area of the mine, based on the Livingston blasting crater theory. Theoptimal values for the crater's hole depth, radius, critical depth, volume, hole spacing, and resistanceline were found to be 0.55 m, 0. 5 m, 1. 1 m, 0. 129 m’, 1.1 m, and 0. 85 m, respectively. After blas-ting, the fragments were collected, sereened, and classified by particle size. The R-R function was usedto predict the distribution of different particle sizes, and it was found that the R-R function could effec.tively predict the blasting fragmentation distribution. "The obtained parameters can provide theoretical support for optimizing blasting parameters in future field operations.

Key words: underground mining, blasting crater test, blasting fragmentation, optimal funnel parameters