首页> 外文学位 >DETERMINING THE SIZE AND LIFE OF UNDERGROUND COAL MINES (OPTIMIZATION).
【24h】

DETERMINING THE SIZE AND LIFE OF UNDERGROUND COAL MINES (OPTIMIZATION).

机译:确定地下煤矿的大小和寿命(优化)。

获取原文
获取原文并翻译 | 示例

摘要

The determination of mine design variables such as mine shaft locations, mine field dimensions, mine design capacity, and mine service life under various mining conditions is of primary importance to the economics of developing and subsequently operating an underground coal mine. However, the problem has received little academic attention in the United States. Solutions to the problem tend to be subjective and based upon personal experience and managerial judgment rather than objective and based upon some quantitative criteria.;In formulating the problem, relationships among mining costs, main shafts location, section production per shift, number of production sections in mines, mine output, and mine field dimensions were analyzed. Thereby, the unit cost of coal was expressed as a function of mine field dimensions, mine design capacity, and mine service life. The problem was then formulated as a nonlinear optimization model in terms of minimizing the unit cost of coal subject to certain constraints, and solved analytically for flat seams and numerically for inclined seams. Possible extensions of the formulation were also discussed.;The methodology developed in the research was intended to be an important step toward the increased application of quantitative methods in designing underground coal mines. The results obtained from the study are expected to serve as useful aids in establishing logical mining units (LMU) or dividing a deposit into blocks for development, locating mine shafts within a mine field, planning annual mine production rates, and projecting the lifetime of an underground coal mine.;The purpose of this research was to conduct a quantitative study on the problem of evaluating these mine design variables and to develop a mathematical modeling approach that permits a quantitative determination of the design variables and facilitates the analysis of effects of input parameters such as seam angle, seam thickness, seam depth, underground traveling speed of men, mine recovery, plant recovery, average productivity, and interest rate on the size of underground coal mine operations and the unit cost of coal.
机译:确定矿井设计变量,例如矿井位置,矿场尺寸,矿井设计能力和各种采矿条件下的矿井使用寿命,对于开发和随后运营地下煤矿的经济性至关重要。但是,该问题在美国很少受到学术关注。解决问题的方法往往是主观的,并且基于个人经验和管理判断,而不是客观的,并且基于一些定量标准。在制定问题时,采矿成本,主轴位置,每班生产数量,生产数量之间的关系在矿山中,分析了矿山产量和矿场规模。因此,煤炭的单位成本表示为矿场尺寸,矿山设计能力和矿山使用寿命的函数。然后将该问题公式化为非线性优化模型,以在一定约束下将煤炭的单位成本降至最低,并针对平煤层和斜煤层进行解析求解。还讨论了该配方的可能扩展。该研究中开发的方法学旨在成为定量方法在地下煤矿设计中日益应用的重要一步。从研究中获得的结果有望为建立逻辑采矿单位(LMU)或将矿床划分为开发区块,在矿场内定位矿井,计划年度矿山生产率以及预测矿山的使用寿命提供有益的帮助。该研究的目的是对评估这些矿井设计变量的问题进行定量研究,并开发一种数学建模方法,该方法可以定量确定设计变量并有助于分析输入参数的影响。例如煤层角度,煤层厚度,煤层深度,人员的地下移动速度,煤矿开采,工厂开采,平均生产率以及地下煤矿运营规模和煤炭单位成本的利率。

著录项

  • 作者

    LI, ZHONGXUE.;

  • 作者单位

    Virginia Polytechnic Institute and State University.;

  • 授予单位 Virginia Polytechnic Institute and State University.;
  • 学科 Engineering Mining.;Operations Research.
  • 学位 Ph.D.
  • 年度 1987
  • 页码 152 p.
  • 总页数 152
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号