东北大学学报(自然科学版) ›› 2023, Vol. 44 ›› Issue (9): 1309-1317.DOI: 10.12068/j.issn.1005-3026.2023.09.012

• 资源与土木工程 • 上一篇    下一篇

不同岩性岩石单轴压缩破坏共性前兆特征

赵永, 古旭升, 王述红, 高煬   

  1. (东北大学 资源与土木工程学院, 辽宁 沈阳110819)
  • 发布日期:2023-09-28
  • 通讯作者: 赵永
  • 作者简介:赵永(1991-),男,山东临沂人,东北大学讲师,博士; 王述红(1969-),男,江苏泰州人,东北大学教授,博士生导师.
  • 基金资助:
    国家自然科学基金资助项目(52004052,U1903216); 辽宁省自然科学基金资助项目(2021-MS-100); 博士后国际交流派出计划项目(2020059); 中央高校基本科研业务费专项资金资助项目(N2101027).

Common Precursor Characteristics of Uniaxial Compression Failure of Rocks with Different Lithology

ZHAO Yong, GU Xu-sheng, WANG Shu-hong, GAO Yang   

  1. School of Resources & Civil Engineering, Northeastern University, Shenyang 110819, China.
  • Published:2023-09-28
  • Contact: GU Xu-sheng
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摘要: 煤矿中岩体往往是层状分布,多种岩性共存.单一岩性岩石失稳研究得出的前兆指标难以用于实际工程.探究煤矿中不同岩性岩石的破裂过程与声发射参数之间的关系,建立基于声发射参数的多种岩性岩石稳定性评价机制至关重要.鉴于此,利用声发射监测系统对取自煤层上方连续三种岩性岩石(细砂岩、砂质泥岩和粉砂岩)开展单轴压缩声发射试验研究.通过对声发射参数的相关性进行研究,选取了能量、b值、主频、视应力以及视体积这5种相关性较低的声发射参数作为岩石破坏前兆指标,建立了适用于三种岩性的稳定性评价体系.研究结果为实际工程中基于微震监测的煤矿灾害预警预测提供基础.

关键词: 声发射参数;前兆特征;高能事件;稳定性评价;动态b值

Abstract: The strata in coal mines are often distributed in layers with coexisting lithologies. The precursory indicators obtained from the study of the rock instability of a single lithology can often be challenging to apply in practical engineering. Therefore, it is important to explore the relationship between the fracture process of different lithologic rocks in a coal mine and acoustic emission(AE)parameters and establish various lithologic rock stability evaluation mechanisms based on AE parameters. In view of this, an acoustic emission monitoring system was used to measure three sequential types of lithology rocks(fine sandstone, sandy mudstone and siltstone)taken from coal seams. Through examining the correlation of AE parameters, five AE parameters with low correlation, such as energy, b-value, dominant frequency, apparent stress and apparent volume, are selected as the precursor indexes of the rock failure, and a stability evaluation system suitable for these three lithology rocks is established. The research results provide a basis for coal mine disaster early warning and prediction based on microseismic monitoring in practical engineering.

Key words: acoustic emission parameters; precursory characteristic; high energy event; stability evaluation; dynamic b-value

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