残矿回采挤压爆破参数优化的数值模拟

周朝兰 刘志祥 杨小聪 刘立顺 张双侠 马泗洲

周朝兰, 刘志祥, 杨小聪, 刘立顺, 张双侠, 马泗洲. 残矿回采挤压爆破参数优化的数值模拟[J]. 高压物理学报, 2023, 37(3): 035301. doi: 10.11858/gywlxb.20220694
引用本文: 周朝兰, 刘志祥, 杨小聪, 刘立顺, 张双侠, 马泗洲. 残矿回采挤压爆破参数优化的数值模拟[J]. 高压物理学报, 2023, 37(3): 035301. doi: 10.11858/gywlxb.20220694
ZHOU Chaolan, LIU Zhixiang, YANG Xiaocong, LIU Lishun, ZHANG Shuangxia, MA Sizhou. Numerical Simulation on Optimization of Extrusion Blasting Parameters for Residual Ore Recovery[J]. Chinese Journal of High Pressure Physics, 2023, 37(3): 035301. doi: 10.11858/gywlxb.20220694
Citation: ZHOU Chaolan, LIU Zhixiang, YANG Xiaocong, LIU Lishun, ZHANG Shuangxia, MA Sizhou. Numerical Simulation on Optimization of Extrusion Blasting Parameters for Residual Ore Recovery[J]. Chinese Journal of High Pressure Physics, 2023, 37(3): 035301. doi: 10.11858/gywlxb.20220694

残矿回采挤压爆破参数优化的数值模拟

doi: 10.11858/gywlxb.20220694
基金项目: 国家“十四五”科技攻关项目(2022YFC2904101);国家自然科学基金(51974359)
详细信息
    作者简介:

    周朝兰(1998-),女,硕士研究生,主要从事采矿工程与岩石力学研究.E-mail:1649471674@qq.com

    通讯作者:

    刘志祥(1967-),男,博士,教授,主要从事采矿与岩石力学研究. E-mail:liulzx@csu.edu.cn

  • 中图分类号: O383; TD862

Numerical Simulation on Optimization of Extrusion Blasting Parameters for Residual Ore Recovery

  • 摘要: 为减少回采过程中残留顶底柱资源浪费,以赤峰柴胡栏子金矿为研究对象,基于LS-DYNA有限元软件,建立挤压爆破崩落放矿回采底柱数值模型,根据0.7、0.8、1.0 m 3种最小抵抗线和0.8、0.9、1.0 m 3种孔距设计9种方案,通过分析炮孔爆破过程中爆炸裂纹扩展与压力演化、有效应力和有效塑性应变时程曲线以及矿石的损伤情况,获取各方案的评判指标。采用模糊层次分析法构建目标相对优属度矩阵和模糊判断矩阵,通过综合评判选出最佳的爆破方案。结果表明:最小抵抗线取0.7 m、孔间距取0.9 m为挤压爆破崩落放矿回采底柱的最佳爆破参数。现场试验结果表明,使用优化后的爆破参数获得的爆破效果更好。

     

  • 图  挤压爆破崩落放矿回采底柱

    Figure  1.  Caving and drawing ore of bottom pillar by extrusion blasting

    图  挤压爆破数值模型(方案2)

    Figure  2.  Numerical model of extrusion blasting (Case 2)

    图  爆炸裂纹扩展与压力演化过程

    Figure  3.  Blasting crack propagation and pressure evolution

    图  有效应力时程曲线

    Figure  4.  Variation of effective stress with time

    图  有效塑性应变时程曲线

    Figure  5.  Variation of effective plastic strain with time

    图  各方案的矿石损伤分布

    Figure  6.  Ore damage distribution for varying cases

    图  不同损伤因子下裂纹的分布特征

    Figure  7.  Crack distribution characteristics under different damage factors

    图  各损伤因子下的裂纹面积(方案2)

    Figure  8.  Crack area under each damage factor (Case 2)

    图  各方案的有效损伤率

    Figure  9.  Effective damage rate for each case

    图  10  试验采场

    Figure  10.  Test stope

    图  11  现场爆破效果

    Figure  11.  Renderings of the site blasting test

    表  1  挤压爆破回采底柱模拟方案

    Table  1.   Simulation case of bottom pillar by extrusion blasting

    Case No.Minimum
    burden/m
    Hole
    spacing/m
    Row
    spacing/m
    Case No.Minimum
    burden/m
    Hole
    spacing/m
    Row
    spacing/m
    10.70.81.0 60.81.01.0
    20.70.91.071.00.81.0
    30.71.01.081.00.91.0
    40.80.81.091.01.01.0
    50.80.91.0
    下载: 导出CSV

    表  2  岩石RHT模型的主要参数

    Table  2.   Main parameters of RHT model for rock

    Density/
    (g·cm−3)
    Relative shear strength/GPaRelative tensile strength/GPaElastic shear modulus/GPaUniaxial compressive strength/MPaD1D2
    2.8381019.2880.041
    下载: 导出CSV

    表  3  空气材料参数[5]

    Table  3.   Material parameters of air[5]

    ρe0/(g·cm−3)Ee0/(J·cm−3)C0C1C2C3C4C5C6
    1.255×10–30.2500000.4010.4010
    下载: 导出CSV

    表  4  2号岩石乳化炸药的材料参数及JWL状态方程参数[10]

    Table  4.   Parameters of No.2 rock emulsion explosive and JWL equation of state[10]

    Density/(g·cm−3)D/(km·s−1)pCJ/GPaA/GPaB/MPaR1R2ωE0/GPaV
    1.23.53.17214.41824.20.90.154.1921.0
    下载: 导出CSV

    表  5  各方案的主要技术指标比较

    Table  5.   Comparison of the main technical indicators of each scheme

    CaseEffective stress/MPaEffective plastic strainDisplacement/
    cm
    Velocity/
    (m·s−1)
    Effective damage rate/%
    1245.00.7551.22211.1727.717
    2241.20.8101.30212.0325.790
    3211.10.7441.2016.1421.758
    4211.50.7001.23911.1425.206
    5227.60.7401.2727.5123.909
    6214.80.7641.1865.3720.588
    7228.10.7011.23310.4922.151
    8227.50.8311.3116.1921.561
    9212.60.6521.1713.3417.878
    下载: 导出CSV
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出版历程
  • 收稿日期:  2022-11-18
  • 修回日期:  2023-01-07
  • 网络出版日期:  2023-04-06
  • 刊出日期:  2023-06-05

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