中国安全科学学报 ›› 2021, Vol. 31 ›› Issue (9): 128-134.doi: 10.16265/j.cnki.issn1003-3033.2021.09.018

• 安全工程技术 • 上一篇    下一篇

卸荷条件下含瓦斯煤声发射临界慢化特征*

张冉1, 刘杰1 副教授, 撒占友1 教授, 程健维2 副教授, 卢守青1 副教授, 王春源1 讲师   

  1. 1 青岛理工大学 安全科学与工程系,山东 青岛 266520;
    2 中国矿业大学 安全工程学院,江苏 徐州 221116
  • 收稿日期:2021-06-05 修回日期:2020-08-02 出版日期:2021-09-28 发布日期:2022-03-28
  • 作者简介:张 冉 (1996—),男,山东诸城人,硕士研究生,研究方向为煤岩瓦斯动力灾害机理及控制。E-mail:zhangran715@126.com。
  • 基金资助:
    国家自然科学基金资助(51974169, 51574153, 51804176);中国博士后科学基金资助(2018M642632);山东省重点研发计划项目(2018GSF120012);山东省自然科学基金资助(ZR2018PEE001)。

Critical slowing down characteristics of acoustic emission of gas bearing coal under unloading conditions

ZHANG Ran1, LIU Jie1, SA Zhanyou1, CHENG Jianwei2, LU Shouqing1, WANG Chunyuan1   

  1. 1 Department of Safety Science and Engineering, Qingdao University of Technology, Qingdao Shandong 266520, China;
    2 School of Safety Engineering, China University of Mining and Technology, Xuzhou Jiangsu 221116, China
  • Received:2021-06-05 Revised:2020-08-02 Online:2021-09-28 Published:2022-03-28

摘要: 为得到煤样在卸荷条件下失稳破坏的有效前兆信息,设计不同瓦斯压力下的固定轴压卸围压试验,得到煤样破裂过程的声发射(AE)结果,并计算得到不同瓦斯压力条件下AE时间序列的临界慢化特征,预警煤岩瓦斯动力灾害的发生。研究结果表明:卸荷条件下含瓦斯煤AE时间序列具有临界慢化特征,方差与自相关系数在煤样破坏前的突然增大可以作为表征试样破裂失稳的前兆信息;窗口长度与滞后步长会对临界慢化特征产生影响,相比之下,方差受窗口长度和滞后步长影响均较小,且前兆信息出现前曲线变化波动平稳。

关键词: 卸荷条件, 含瓦斯煤, 声发射(AE), 临界慢化特征, 前兆信息

Abstract: In order to obtain effective precursor information of instability failure of coal sample under unloading conditions, a fixed axial stress unloading confining stress experiment under different gas pressures was designed, and AE results of coal sample fracture process were obtained, and critical slowing down characteristics of AE time series under different gas pressures were calculated, so as to provide early warning of occurrence of coal and rock gas dynamic disasters. The results show that under unloading conditions, AE time series of gas-bearing coal has critical slowing characteristics. Sudden increase of variance and autocorrelation coefficient before coal sample failure can be used as precursor information to characterize failure of sample. Window length and lag step can affect critical slowing down characteristics. In contrast, variance is less affected by window length and lag step, and curve changes smoothly before precursor information appears.

Key words: unloading conditions, gas-bearing coal, acoustic emission (AE), critical slowing down characteristics, precursor information

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