首页> 外文会议>International Conference on Underground Mining Technology >Using numerical modelling to represent parameters affecting cave mining
【24h】

Using numerical modelling to represent parameters affecting cave mining

机译:使用数值模拟来表示影响洞穴挖掘的参数

获取原文

摘要

Caving geomechanics is still not well-understood, mainly because it is not possible to enter the cave and measure all the rock mass parameters involved in the caving process. Caving geomechanics is a typical example of rock mechanics being a data-limited problem. However, even if the problem cannot be completely physically described, it is critical to make stepwise advances towards its understanding. Numerical models have an advantage over empirical methods when it comes to understanding the physics of a rock mechanics problem such as caving geomechanics. In using numerical modelling, various hypotheses can be tested and compared to the actual behaviour of the rock mass response to caving. Predicting rock mass caveability remains a challenge. Available empirical tools aiming to predict caveability are known to be unreliable, while numerical modelling has the challenge of identifying and accounting for potential factors to be included in such models to make the outputs reliable. The complexity of these models and their sizes result in excessive run times. This paper presents the next step in numerical modelling in an attempt to understand caving mechanics as a basis for a better caveability prediction guide in the process of mine design in caving mines. The study is based on identifying the critical factors and their role in caving performance. These issues are investigated using a discrete element code where pre-existing discontinuities are explicitly incorporated.
机译:洞穴地质力学仍然不太清楚,主要是因为不可能进入洞穴并测量塌陷过程中涉及的所有岩石质量参数。洞穴地质力学是摇滚力学的典型例子是数据有限的问题。然而,即使问题无法完全描述,逐步进步至关重要。在理解岩石力学问题的物理学方面,数值模型具有超越经验方法的优势。在使用数值模型中,可以测试各种假设,并与岩体响应的实际行为进行测试。预测岩石质量占空障碍仍然是一个挑战。旨在预测占空障碍的可用实证工具是不可靠的,而数值模型具有识别和核算潜在因素的挑战,以便包括在这些模型中的潜在因素,以使输出可靠。这些模型的复杂性及其尺寸导致过度运行时间。本文介绍了数字建模的下一步,试图了解洞穴力学作为矿井设计过程中矿井设计过程中更好的空穴预测指南的基础。该研究基于识别关键因素及其在洞穴性能方面的作用。使用离散的元素代码来调查这些问题,其中明确地纳入了预先存在的不连续性。

著录项

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