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浅埋隧洞塌方灾害微震实时监测与智能预警

苏国韶 黄京华 蒋剑青 胡小川

水力发电2025,Vol.51Issue(1):28-36,9.
水力发电2025,Vol.51Issue(1):28-36,9.

浅埋隧洞塌方灾害微震实时监测与智能预警

Real-time Microseismic Monitoring and Intelligent Early Warning for Collapse Disaster in Shallow Tunnel

苏国韶 1黄京华 2蒋剑青 2胡小川3

作者信息

  • 1. 广西大学土木建筑工程学院,广西 南宁 530004||工程防灾与结构安全教育部重点实验室,广西 南宁 530004||广西岩溶区水安全与智慧调控工程研究中心,广西 南宁 530004
  • 2. 广西大学土木建筑工程学院,广西 南宁 530004
  • 3. 中建二局土木工程集团有限公司,北京 101100
  • 折叠

摘要

Abstract

In view of the difficulty of effective warning of surrounding rock collapse disaster in shallow-buried tunnels,several key technologies are studied,including the multi-section distributed layout of microseismic sensor,the bolt end installation scheme of microseismic sensor,the efficient noise reduction and intelligent identification method of microseismic monitoring signal,the risk management level standard of collapse disaster warning,the cloud intelligent analysis platform of microseismic monitoring signal and the intelligent collapse warning system based on microseismic monitoring.These technologies are applied to the diversion tunnel project of the newly built No.1 irrigation and power generation water release system in Naban Reservoir,Guangxi.The results show that the key technologies developed are feasible,can solve the limitation problem that the existing microseismic monitoring technology is not fully applicable to the broken surrounding rock of shallow tunnel,and can effectively improve the real-time and work efficiency of tunnel collapse microseismic monitoring and early warning.Combined with the project case,the tunnel collapse precursor characteristics based on microseismic characteristic parameters are presented.

关键词

浅埋隧洞/塌方灾害/微震特征/实时监测/智能预警

Key words

shallow tunnel/collapse disaster/microseismic characteristics/real-time monitoring/intelligent early warning

分类

水利科学

引用本文复制引用

苏国韶,黄京华,蒋剑青,胡小川..浅埋隧洞塌方灾害微震实时监测与智能预警[J].水力发电,2025,51(1):28-36,9.

基金项目

国家自然科学基金资助项目(52169021) (52169021)

中国建筑第二工程局有限公司科技资助计划(2022ZX050001) (2022ZX050001)

广西研究生教育创新计划资助项目(YCBZ2024066) (YCBZ2024066)

水力发电

0559-9342

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