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[1]甘一雄,吴顺川,何一林,等.五老峰隧道岩爆声发射参数特征研究[J].中国安全生产科学技术,2020,16(4):76-81.[doi:10.11731/j.issn.1673-193x.2020.04.012]
 GAN Yixiong,WU Shunchuan,HE Yilin,et al.Research on characteristics of AE parameters for rock burst in Wulaofeng tunnel[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2020,16(4):76-81.[doi:10.11731/j.issn.1673-193x.2020.04.012]
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五老峰隧道岩爆声发射参数特征研究
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《中国安全生产科学技术》[ISSN:1673-193X/CN:11-5335/TB]

卷:
16
期数:
2020年4期
页码:
76-81
栏目:
职业安全卫生管理与技术
出版日期:
2020-04-30

文章信息/Info

Title:
Research on characteristics of AE parameters for rock burst in Wulaofeng tunnel
文章编号:
1673-193X(2020)-04-0076-06
作者:
甘一雄吴顺川何一林郑福润李博文
(1.北京科技大学 金属矿山高效开采与安全教育部重点实验室,北京 100083;
2.昆明理工大学 国土资源工程学院,云南 昆明 650093;
3.中国水利水电第十四工程局有限公司,云南 昆明 650041)
Author(s):
GAN Yixiong WU Shunchuan HE Yilin ZHENG Furun LI Bowen
(1.Key Laboratory of Ministry of Education for Efficient Mining and Safety of Metal Mine,University of Science and Technology Beijing,Beijing 100083,China;
2.Faculty of Land Resource Engineering,Kunming University of Science and Technology,Kunming Yunnan 650093,China;
3.Sinohydro Bureau 14 Corporation Limited,Kunming Yunnan 650041,China)
关键词:
岩爆声发射RA值爆破震动
Keywords:
rock burst acoustic emission (AE) RA value blasting vibration
分类号:
X936;U456
DOI:
10.11731/j.issn.1673-193x.2020.04.012
文献标志码:
A
摘要:
为研究岩爆事件的声发射特征,为岩爆灾害的进一步监测预警提供依据,对五老峰隧道掌子面附近区域岩爆事件进行声发射监测,以RA均值作为主要参数,研究岩爆发生前后的参数变化规律,并通过与b值等参数分析结果的相互印证,对比岩爆信号与爆破震动信号之间的区别。试验结果表明:不同传感器因为布设位置、耦合程度的差异,接收到的声发射信号数量与参数分布范围存在较大差异;RA均值作为参数分析依据,能够较好地反映岩爆事件的孕育发展过程,且能够一定程度上消除传感器接收信号数量差异的影响,更稳定地反映岩爆事件的信号特征;岩爆事件发生前RA均值与事件密度不断升高,峰值后则都迅速降低,而爆破产生的声发射信号则在RA值上存在一定突变性,且峰值后仍保持较高水平。本次监测中,共发生1次微型岩爆,而在左洞爆破后,声发射信号明显增多,但并未产生显著破裂事件。
Abstract:
In order to study the acoustic emission (AE) characteristics of rock burst events,and provide the basis for the further monitoring and earlywarning of rock burst disaster,the AE monitoring on the rock burst events at the area near the tunnel face of Wulaofeng tunnel was conducted.Taking the RA average value as the main parameter,the change laws of parameters before and after the rock burst were studied,and the difference between the rock burst signals and the blasting vibration signals were compared through the mutual corroboration with the parameter analysis results such as b value.The results showed that the amount of accepted AE signals and the range of parameters distribution had great difference due to the different layout positions and coupling degrees of different sensors.As the parameter analysis basis,the RA average value could reflect the inoculation and development process of rock burst event well,and eliminate the influence of different amounts of signals accepted by the sensors to a certain extent,so as to reflect the signal characteristics of rock burst event more stably.The RA average value and events density increased continually before the rock burst event and both decreased rapidly after the peak,while the AE signals produced by the blasting had certain mutability on the RA value,and still kept higher level after the peak.In this monitoring,a miniature rock burst occurred,while after the left hole blasting,the AE signals increased obviously,but there was no significant break event.

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备注/Memo

备注/Memo:
收稿日期: 2020-01-15
* 基金项目: 国家自然科学基金项目(51934003)
作者简介: 甘一雄,博士研究生,主要研究方向为地下工程灾害监测预警。
更新日期/Last Update: 2020-05-11