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高位崩塌触地振动信号特征分析及崩塌体参数反演

王桂林 张林冲 李柏佚 陈智强 孙帆 黄建铭

灾害学2026,Vol.41Issue(1):115-123,9.
灾害学2026,Vol.41Issue(1):115-123,9.DOI:10.3969/j.issn.1000-811X.2026.01.015

高位崩塌触地振动信号特征分析及崩塌体参数反演

High Collapse Touchdown Vibration Signal Characteristics Analysis and Inversion of Collapse Body Parameters

王桂林 1张林冲 2李柏佚 2陈智强 3孙帆 4黄建铭2

作者信息

  • 1. 重庆大学 土木工程学院,重庆 400045||库区环境地质灾害防治国家地方联合工程研究中心,重庆 400045
  • 2. 重庆大学 土木工程学院,重庆 400045
  • 3. 重庆市南江勘测设计有限公司,重庆 401121
  • 4. 重庆市地质矿产勘查开发局南江水文地质工程地质队,重庆 401121
  • 折叠

摘要

Abstract

At present,the monitoring of perilous rock collapse is mainly concentrated before the collapse.Aiming at the problems of strong concealment and difficult monitoring of high-altitude collapse,a method of in-version of collapse body parameters is proposed based on touchdown vibration signals to realize disaster early warning.Firstly,based on the FLAC-PFC coupling method,the feasibility and accuracy of signal picking are ver-ified by simulating the collapse touchdown vibration signal generated by the demolition of the structure.Subse-quently,the high-altitude collapse touchdown vibration is simulated,and its signal characteristics are revealed by polarization analysis and wavelet analysis.Finally,a method for inverting the key parameters such as the falling position,falling height and volume of the collapse body based on the touchdown vibration signal is established.The results show that the collapse touchdown vibration signal is dominated by low-frequency Rayleigh waves with obvious impact characteristics.The inversion calculation results of the key parameters of the collapse body based on the touchdown vibration signal are close to the actual values,which can provide a scientific basis for the early warning of high-altitude collapse disasters.

关键词

高位崩塌/FLAC-PFC/振动信号特征/参数反演

Key words

high-altitude collapse/FLAC-PFC/vibration signal property/parameter inversion

分类

天文与地球科学

引用本文复制引用

王桂林,张林冲,李柏佚,陈智强,孙帆,黄建铭..高位崩塌触地振动信号特征分析及崩塌体参数反演[J].灾害学,2026,41(1):115-123,9.

基金项目

重庆市规划和自然资源局科研项目"三峡库区危岩随机块体风险识别与多参数融合监测预警技术研究"(KJ-2024013) (KJ-2024013)

重庆市研究生科研创新项目(CYS21027) (CYS21027)

灾害学

1000-811X

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