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ZHANG Jiayong, CUI Xiao, ZHOU Fengzeng, WANG Kai, XU Shen. Numerical Simulation on Crack Radius of Coal Seam Drilling by Static Blasting[J]. Safety in Coal Mines, 2017, 48(12): 146-149.
Citation: ZHANG Jiayong, CUI Xiao, ZHOU Fengzeng, WANG Kai, XU Shen. Numerical Simulation on Crack Radius of Coal Seam Drilling by Static Blasting[J]. Safety in Coal Mines, 2017, 48(12): 146-149.

Numerical Simulation on Crack Radius of Coal Seam Drilling by Static Blasting

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  • Published Date: December 19, 2017
  • In order to study the broken scope of coal seam drilling in the process of static blasting and determine the reasonable borehole spacing of gas drainage, by the reaction parameters of the broken material measured by design experiment, and according to the basic parameters and the mathematical model of the coal deformation, we use COMSOL software to carry out numerical simulation for the broken scope of coal seam drilling. Research results show that the inflation pressure caused by the broken material can reach to 45 MPa to 65 MPa; when pore diameter is 100 mm, the radius of crack reach to 1.3 m, and the reasonable drainage borehole spacing are determined.
  • [1]
    林柏泉,李子文,翟成,等.高压脉动水力压裂卸压增透技术及应用[J].采矿与安全工程学报,2011,28(3):452-455.
    [2]
    倪红坚,王瑞和,葛洪魁.高压水射流破岩的数值模拟分析[J].岩石力学与工程学报,2004,23(4):550.
    [3]
    李会双.低透型煤层瓦斯抽采技术[J].煤,2015,24(1):40-50.
    [4]
    李忠辉,宋晓艳,王恩元.石门揭煤静态爆破致裂煤层增透可行性研究[J].采矿与安全工程学报,2011,28(1):86-89.
    [5]
    岳中文,杨仁树,郭义先,等.静态破碎剂作用下裂纹扩展行为的动态分析[J].中国矿业,2010,19(7):71.
    [6]
    翟成,武世亮,汤宗情,等.基于静态爆破的煤层致裂增透技术研究[J].煤炭科学技术,2015,43(5):54.
    [7]
    游宝坤.静态爆破技术[M].北京:中国建材工业出版社,2008.
    [8]
    王建鹏.静态破碎剂破岩机理研究[J].中国矿业,2008,17(11):90-92.
    [9]
    黄辉.静态破碎法在高瓦斯矿井巷道端头顶板控制垮落中的应用研究[D].太原:太原理工大学,2014.
    [10]
    刘蓟南.铁新矿掘进巷道煤层瓦斯流动规律数值模拟研究[D].阜新:辽宁工程技术大学,2012.
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