边坡声发射监测研究综述

李刚, 肖繁, 刘浩, 胡明兵, 赵奎

raybet体育在线 院报 ›› 2018, Vol. 35 ›› Issue (11) : 57-62.

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raybet体育在线 院报 ›› 2018, Vol. 35 ›› Issue (11) : 57-62. DOI: 10.11988/ckyyb.20170008
工程安全与灾害防治

边坡声发射监测研究综述

  • 李刚a, b, 肖繁a, b, 刘浩a, b, 胡明兵a, b, 赵奎a, b
作者信息 +

Review of Slope Monitoring by Acoustic Emission

  • LI Gang1, 2, XIAO Fan1, 2, LIU Hao1, 2, HU Ming-bing1, 2, ZHAO Kui1, 2
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文章历史 +

摘要

对现有的边坡监测技术进行总结分析,阐明声发射监测技术在边坡滑塌破坏过程中的信号采集、定位等方面的独特优势。通过详述声发射边坡监测技术的发展历程与现状,指出声发射边坡监测的影响因素。并结合边坡声发射监测实例分析,表明该技术不仅能实现对边坡滑移面定位,还能对边坡破坏水平进行分析,将声发射参数划分为不同的破坏等级来判断边坡的稳定性。最后指出声发射边坡监测技术在波导杆、耦合材料、传感器布置方式等方面存在的问题,波导杆和耦合材料的选择、传感器布置方式以及耦合材料产生的声发射与周围岩体破坏的相关性等方面有待进一步的研究与探索。

Abstract

The unique advantages of acoustic emission (AE) technology in signal collection and positioning of slope collapse failure are expounded by analyzing and summarizing existing slope monitoring technologies. By detailing the development and current situation of AE slope monitoring technology, the influential factors of AE slope monitoring are put forward. Case analysis demonstrates that AE technology could not only locate slip surface, but also can be used to judge the failure state by classifying the acoustic emission parameters into different damage levels. In addition, problems in waveguide, coupling agent, and sensor arrangement are pointed out. The selection of waveguide and coupling materials, the arrangement of sensors, and the correlation between acoustic emission from coupling material and surrounding rock mass are to be further studied and explored.

关键词

边坡监测 / 声发射 / 波导杆 / 耦合材料 / 滑移面定位

Key words

slope monitoring / acoustic emission / waveguide / coupling material / slip plane positioning

引用本文

导出引用
李刚, 肖繁, 刘浩, 胡明兵, 赵奎. 边坡声发射监测研究综述[J]. raybet体育在线 院报. 2018, 35(11): 57-62 https://doi.org/10.11988/ckyyb.20170008
LI Gang, XIAO Fan, LIU Hao, HU Ming-bing, ZHAO Kui. Review of Slope Monitoring by Acoustic Emission[J]. Journal of Changjiang River Scientific Research Institute. 2018, 35(11): 57-62 https://doi.org/10.11988/ckyyb.20170008
中图分类号: TB5    P642.2   

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基金

国家自然科学基金项目(51364012); 江西省科技计划项目(20143ACG70010)

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