中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
首页 机构 成果 学者
  
  1. CAS IR Grid
  2. 武汉岩土力学研究所
  3. 中科院武汉岩土力学所
A Real-Time Inverted Velocity Model for Fault Detection in Deep-Buried Hard Rock Tunnels Based on a Microseismic Monitoring System

文献类型：期刊论文

作者Xie, Houlin2,3; Chen, Bingrui2,4; Liu, Qian2,3; Xiao, Yaxun2,3; Liu, Liu2,3; Zhu, Xinhao2,3; Li, Pengxiang1
刊名BUILDINGS
出版日期2024-09-01
卷号14期号:9页码:19
关键词fault identification velocity field inversion microseismic monitoring time-distance curve model full waveform inversion
DOI10.3390/buildings14092663
英文摘要Microseismic monitoring is an effective and widely used technology for dynamic fault disaster early warning and prevention in deep-buried hard rock tunnels. However, the insufficient understanding of the distribution of native faults poses a major challenge to yielding precise early warnings of disasters using an MS (Microseismic Monitoring System). Velocity field inversion is a reliable means to reflect fault information, and there is an urgent need to establish a real-time velocity field inversion method during tunnel excavation. In this paper, a method based on an MS is proposed to achieve the inversion of the velocity field in the monitoring area using microseismic event and excavation blasting data. The velocity field inversion method integrates the reflected wave ray-tracing method based on PSO (Particle Swarm Optimization) theory and FWI (Full-Waveform Inversion) theory. The accuracy of the proposed velocity inversion method was verified by various classic numerical simulation cases. In numerical simulations, the robustness of our method is evident in its ability to identify anomalous structural surfaces and velocity discontinuities ahead of the tunnel face.
资助项目National Natural Science Foundation of China ; [42077263]
WOS研究方向Construction & Building Technology ; Engineering
语种英语
WOS记录号WOS:001323233200001
出版者MDPI
源URL[http://119.78.100.198/handle/2S6PX9GI/42669]  
专题中科院武汉岩土力学所
通讯作者Chen, Bingrui
作者单位1.Heze Univ, Inst Underground Space Stabil & Support Surroundin, Heze 274015, Peoples R China
2.Chinese Acad Sci, Inst Rock & Soil Mech, State Key Lab Geomech & Geotech Engn, Wuhan 430071, Peoples R China
3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
4.Northeastern Univ, Key Lab, Minist Educ Safe Min Deep Met Mines, Shenyang 110819, Peoples R China
推荐引用方式
GB/T 7714		 Xie, Houlin,Chen, Bingrui,Liu, Qian,et al. A Real-Time Inverted Velocity Model for Fault Detection in Deep-Buried Hard Rock Tunnels Based on a Microseismic Monitoring System[J]. BUILDINGS,2024,14(9):19.
APA Xie, Houlin.,Chen, Bingrui.,Liu, Qian.,Xiao, Yaxun.,Liu, Liu.,...&Li, Pengxiang.(2024).A Real-Time Inverted Velocity Model for Fault Detection in Deep-Buried Hard Rock Tunnels Based on a Microseismic Monitoring System.BUILDINGS,14(9),19.
MLA Xie, Houlin,et al."A Real-Time Inverted Velocity Model for Fault Detection in Deep-Buried Hard Rock Tunnels Based on a Microseismic Monitoring System".BUILDINGS 14.9(2024):19.

入库方式： OAI收割

来源：武汉岩土力学研究所

浏览0
下载0
收藏0
其他版本

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。