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提高块煤率的爆破参数的数值优化
引用本文:于永江 王来贵 徐刚. 提高块煤率的爆破参数的数值优化[J]. 矿业研究与开发, 2006, 26(4): 86-88
作者姓名:于永江 王来贵 徐刚
作者单位:辽宁工程技术大学,力学与工程科学系,辽宁,阜新市,123000;辽宁工程技术大学,力学与工程科学系,辽宁,阜新市,123000;辽宁工程技术大学,力学与工程科学系,辽宁,阜新市,123000
基金项目:国家自然科学基金重点项目(50434020);国家自然科学基金面上项目(50374042);高等学校博士学科专项科研基金项目(20040147003).
摘    要:为了提高煤炭块率,炮孔间距的合理选取是提高块煤率的关键。通过有限元软件LS-DYNA2D,对封闭煤体中爆炸过程进行了数值模拟,研究表明,煤体中质点压应力、速度随着径向半径增大与时间的推移迅速减小。离爆心近处,质点的压应力与速度很大,但持续时间较短;离爆心远处,质点的压应力与速度较小,但持续时间较长。同时通过对提高块率爆破机理研究,得出了采用小药卷,控制眼距和爆破微差时间是提高爆破块率的主要途径。从而为提高煤块率的参数优化提供了一种切实可行的研究方法。

关 键 词:块煤率  爆破参数  数值优化  压应力
文章编号:1005-2763(2006)04-0086-03
收稿时间:2005-11-20
修稿时间:2005-11-20

Numerical Optimization of Blasting Parameters for Increasing Lump Coal Rate
Yu Yongjiang,Wang Laigui,Xu Guang. Numerical Optimization of Blasting Parameters for Increasing Lump Coal Rate[J]. Mining Research and Development, 2006, 26(4): 86-88
Authors:Yu Yongjiang  Wang Laigui  Xu Guang
Affiliation:Department of Mechanics and Engineering Science, Liaoning Technical University Fuxin, Liaoning 123000, China
Abstract:The rational selection of space between shot holes is the key to improvement of lump coal rate.The explosion of explosive in the sealed coal body is simulated using finite element software LS-DYNA2D.The research shows that the compressive stress and vibration velocity of particles in coal body reduce rapidly with radial radius and time increasing.The compressive stress and vibration velocity of particles are high near the blasting center,but their duration is shorter;The compressive stress and vibration velocity of particles are away from the blasting lower center,but their duration is more long.At the same time,through the mechanism study of blasting for increasing lump coal rate,the conclusion that adopting small explosive cartridges,controlling space between shot holes and time of delay in millisecond blasting are the main ways to increasing lump coal rate is drawn.It is a kind of feasible research means for optimization of blasting parameters for increasing lump coal rate.
Keywords:Lump coal rate  Blasting parameter  Numerical optimization  Compressive stress
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