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清华大学学报(自然科学版)  2022, Vol. 62 Issue (6): 1052-1058    DOI: 10.16511/j.cnki.qhdxxb.2022.22.030
  专刊:公共安全 本期目录 | 过刊浏览 | 高级检索 |
基于声发射监测的滑坡过程预警模型
陈杨1, 邓李政1,2,3, 黄丽达1, 陈涛1, 陈建国1, 袁宏永1
1. 清华大学 工程物理系, 公共安全研究院, 北京 100084;
2. 清华大学 合肥公共安全研究院, 合肥 230601;
3. 灾害环境人员安全安徽省重点实验室, 合肥 230601
Landslide early warning model based on acoustic emission monitoring
CHEN Yang1, DENG Lizheng1,2,3, HUANG Lida1, CHEN Tao1, CHEN Jianguo1, YUAN Hongyong1
1. Institute of Public Safety Research, Department of Engineering Physics, Tsinghua University, Beijing 100084, China;
2. Hefei Institute for Public Safety Research, Tsinghua University, Hefei 230601, China;
3. Anhui Province Key Laboratory of Human Safety, Hefei 230601, China
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摘要 滑坡是一种多发于山区的地质灾害,严重威胁隐患点周围群众的生命财产安全,急需针对滑坡建立及时、准确的监测预警系统。该文在已有的滑坡声发射监测技术和变形过程预警模型基础上,对比研究声发射和位移监测参量。基于小波变换和改进切线角方法,建立了基于声发射监测的滑坡过程预警模型。利用英国拉夫堡大学实验室模拟数据,初步验证了所建立的声发射预警模型的可靠性。在广东省连南县特大型滑坡隐患点安装监测设备,获取边坡现场变形监测数据,比较了声发射和位移监测的实际预警效果。结果表明:相较于位移参量,声发射参量在预警稳定性和准确性上均表现更好。
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陈杨
邓李政
黄丽达
陈涛
陈建国
袁宏永
关键词 灾害预警模型滑坡声发射振铃计数小波变换    
Abstract:Landslides are common geological disasters that frequently occur in mountainous areas. Landslides can threaten the safety of people around hidden danger points; thus, timely, accurate monitoring and early warning systems are needed for landslides. This study analyzed the acoustic emission signal and displacement monitoring parameters for existing acoustic emission monitoring systems and early warning models of the deformation before a landslide. A landslide early warning model was then developed based on acoustic emission monitoring using wavelet transforms and an improved tangential angle model. The reliability was verified against laboratory simulation data from Loughborough University, UK. Monitoring equipment was then installed at a key point in the very large landslide prone area in Liannan County, Guangdong Province, China. The acoustic emission monitoring parameters and the displacement parameters were then compared with the measured deformation of the slope. The results show that the acoustic emission monitoring parameters are more sensitive and more accurate than the displacement parameters.
Key wordsdisaster early warning model    landslide    acoustic emission    ring down count    wavelet transform
收稿日期: 2022-02-08      出版日期: 2022-05-06
基金资助:安徽省重点研发计划(202104b11020021);清华大学合肥公共安全研究院开放课题(QHHFYKF202101);工业和信息化部2021年自然灾害防治技术装备工程化攻关专项(TC210H00L/47)
通讯作者: 袁宏永,教授,E-mail:hy-yuan@tsinghua.edu.cn      E-mail: hy-yuan@tsinghua.edu.cn
作者简介: 陈杨(1998-),男,博士研究生。
引用本文:   
陈杨, 邓李政, 黄丽达, 陈涛, 陈建国, 袁宏永. 基于声发射监测的滑坡过程预警模型[J]. 清华大学学报(自然科学版), 2022, 62(6): 1052-1058.
CHEN Yang, DENG Lizheng, HUANG Lida, CHEN Tao, CHEN Jianguo, YUAN Hongyong. Landslide early warning model based on acoustic emission monitoring. Journal of Tsinghua University(Science and Technology), 2022, 62(6): 1052-1058.
链接本文:  
http://jst.tsinghuajournals.com/CN/10.16511/j.cnki.qhdxxb.2022.22.030  或          http://jst.tsinghuajournals.com/CN/Y2022/V62/I6/1052
  
  
  
  
  
  
  
  
  
  
  
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