首页> 外文会议>International conference on physical and numerical simulation of material processing;ICPNS2010 >Water Inrush Monitoring of Zhangmatun Mine Grout Curtain and Seepage-Stress-Damage Research
【24h】

Water Inrush Monitoring of Zhangmatun Mine Grout Curtain and Seepage-Stress-Damage Research

机译:张马屯矿山灌浆帷幕突水监测及渗流-应力-损伤研究

获取原文

摘要

Based on extensive literature review, the state of the art of coupled hydromechanical models and in-situ monitoring for groundwater inrush predictions are summarized in detail, based on which, it is proposed that the key issues for describing the seepage characteristics during groundwater inrush are to calibrate the equations for damage-induced evolution of permeability and of effective stress. Depending on in-situ experiments and numerical simulations, a new academic idea, i.e. "the rock micro seismicity induced by mining processes and water pressure disturbance is in essence the index of groundwater inrush" is put forward based on case studies, coupled hydro-mechanical theory, high-performance computing technology and microseismic monitoring. The authors propose that the tendency for analyzing and predicting the groundwater inrush is to synthetically inverse the inrush pathway formation, strata microseismic precursor and high performance computing results. And relying on the microseismic monitoring events, the groundwater inrush models are calibrated, which could be used to clarify the precursory characteristics and to locate the inrush pathway. This study will lay theoretical basis for establishing the models to predict the groundwater inrush in underground mining.
机译:在大量文献综述的基础上,详细总结了耦合的水力力学模型和对地下水涌流预测的现场监测技术,在此基础上,提出了描述地下水涌流过程中渗流特征的关键问题。校准由破坏引起的渗透率和有效应力演化的方程式。根据现场试验和数值模拟,基于实例研究,提出了一种新的学术思想,即“采矿过程和水压扰动引起的岩石微地震活动本质上是地下水涌入的指标”。理论,高性能计算技术和微震监测。作者认为,分析和预测地下水涌入的趋势是对涌入通道的形成,地层微震前兆和高性能计算结果进行综合反演。并依靠微震监测事件,对地下水涌流模型进行了标定,可用于阐明前兆特征并确定涌流路径。该研究将为建立预测地下矿山地下水涌入量的模型奠定理论基础。

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