采矿与安全工程学报 ›› 2015, Vol. 32 ›› Issue (6): 1017-1025.

• 论文 • 上一篇    下一篇

含孔岩石双轴加载过程声发射多参数特征对比分析

  

  1. 1.东北大学资源与土木工程学院,辽宁 沈阳 110819;2.华北理工大学矿业工程学院,河北 唐山 063009
  • 收稿日期:2013-12-23 出版日期:2015-11-15 发布日期:2015-12-04
  • 作者简介:魏嘉磊(1990—),男,甘肃省兰州市人,硕士研究生,从事遥感-岩石力学方面的研究。
  • 基金资助:

    国家重点基础研究发展计划(973)项目(2011CB707102);国家自然科学基金项目(41074127,51174071);高等学校博士学科点专项科研基金项目(20120042110029)

Comparative analysis on different AE parameters in biaxial loading of hole rock

  • Received:2013-12-23 Online:2015-11-15 Published:2015-12-04

摘要: 选择含圆孔岩石作为试样,开展双轴加载过程的声发射观测实验,获取岩石变形破裂过程的多个声发射参数。系统分析了加载过程声发射能量参数(能率、累积能量)、事件参数(事件率、累积事件数)、b 值及熵值的变化特征,研究了岩石破坏的声发射前兆信息,并进行了不同参数变化与前兆特征对比分析,探讨了适宜于岩石破坏预测的声发射参数。结果表明:不同声发射参数的变化特征不同,声发射能量参数表现为低应力阶段能量释放较小、中应力阶段缓慢增加和高应力阶段快速增加的变化特征;声发射事件参数表现为低应力阶段事件较少、中应力阶段快速增加和高应力阶段迅速减小的特征;b 值表现为加载前多半程波动性下降和临破裂前快速下降,而熵值的变化和b 值相反。声发射各参数均存在岩石破裂前兆,前兆出现在82%~96%峰值载荷时段,熵值前兆出现最早,b 值前兆最晚。声发射累积参数曲线对于岩石破裂前兆识别更为容易。将多种声发射参数进行联合分析,可更好地捕捉岩石破裂前兆信息。

关键词: 岩石, 声发射, 多参数, 破坏, 前兆

Abstract: The aim of this paper is to derive and analyze several parameters of acoustic emission (AE) under the deformation and failure process of rock. These AE experiments of rock failure have been conducted in biaxial loading with the hole rock and some parameters of AE have been obtained. The variation features of the AE energy parameters (including energy rate and cumulative energy), the AE event parameters (including event count rate and cumulative event count), the b-value and the entropy value in loading process have been analyzed systematically. Meanwhile, the AE precursory characteristics of rock failure have been studied, and the variation and precursory characteristics of different AE parameters have also been comparatively analyzed. Furthermore, the suitable AE parameters for predicting rock failure have been explored. The results have shown that the various AE parameters are correspondent to different variation characteristics. The AE energy keeps a small release in the relatively low stress phase, and it increases gradually in the middle stress phase then dramatically in the high stress phase. The number of AE events is few in the low stress phase, and rises rapidly in the middle stress phase and drops greatly in the high stress phase. The b-value decreases with volatility during the most rock loading process and performs an evidently decrease just before the rock failure; while, the entropy value is in the reverse change trend. All the AE parameters have the precursors of rock failure which occur at 82% to 96% of peak stress, while the precursors of the entropy value occur relatively earlier and that of the b-value occur relatively later. Additionally, this study has shown that the precursor of rock failure would be easy to identify with the AE cumulative parameter curve. An integrated analysis of AE multi-parameters will provide an effective and quantitative way to derive the information for precursor of rock failure.

Key words: rock, acoustic emission, multi-parameters, failure, precursor