TBM Advanced Geological Prediction via Ellipsoidal Positioning Velocity Analysis
文献类型:期刊论文
作者 | Gao, Zhen4; Rong, Xin2; Wang, Wei3; Huang, Bin1; Liu, Junqiang5 |
刊名 | BUILDINGS
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出版日期 | 2024-10-01 |
卷号 | 14期号:10页码:3126 |
关键词 | seismic exploration advanced geological forecasting velocity analysis TBM construction tunnel |
DOI | 10.3390/buildings14103126 |
产权排序 | 3 |
文献子类 | Article |
英文摘要 | Traditional seismic wave-based tunnel advanced geological forecasting techniques are primarily designed for drill and blast method construction tunnels. However, given the fast excavation speed and limited prediction space in tunnel boring machine (TBM) construction tunnels, traditional methods have significant technical limitations. This study analyzes the characteristics of different types of TBM construction tunnels and, considering the practical construction conditions, identifies an effective observation system and data acquisition method. To address the challenges in advanced forecasting for TBM construction tunnels, a method of ellipsoid positioning velocity analysis, which takes into account the constraints of three-component data directions, is proposed. Based on the characteristics of the advanced forecasting observation system, this method compares the maximum values on the spatial isochronous ellipsoidal surface to determine the average velocity of the geological layer rays, thereby enabling accurate inversion of the spatial distribution ahead. Utilizing numerical simulation, a model for the advanced detection of typical unfavorable geological formations is established by obtaining the wave field response characteristics of seismic waves in three-dimensional space, and the velocity structure of the model is retrieved through this velocity analysis method. In the engineering example, the fracture property, water content, and weathering degree of the surrounding rock are predicted accurately. |
WOS关键词 | REVERSE-TIME MIGRATION |
WOS研究方向 | Construction & Building Technology ; Engineering |
WOS记录号 | WOS:001342004000001 |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/209568] ![]() |
专题 | 资源与环境信息系统国家重点实验室_外文论文 |
通讯作者 | Wang, Wei |
作者单位 | 1.China Railway Engn Serv Co Ltd, Chengdu 610083, Peoples R China 2.Zhejiang Design Inst Water Conservancy & Hydroelec, Hangzhou 310002, Peoples R China 3.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 4.China Aerosp Planning & Design Grp Co Ltd, Beijing 102600, Peoples R China 5.Zhejiang Engn Geophys Survey & Design Inst Co Ltd, Hangzhou 310005, Peoples R China |
推荐引用方式 GB/T 7714 | Gao, Zhen,Rong, Xin,Wang, Wei,et al. TBM Advanced Geological Prediction via Ellipsoidal Positioning Velocity Analysis[J]. BUILDINGS,2024,14(10):3126. |
APA | Gao, Zhen,Rong, Xin,Wang, Wei,Huang, Bin,&Liu, Junqiang.(2024).TBM Advanced Geological Prediction via Ellipsoidal Positioning Velocity Analysis.BUILDINGS,14(10),3126. |
MLA | Gao, Zhen,et al."TBM Advanced Geological Prediction via Ellipsoidal Positioning Velocity Analysis".BUILDINGS 14.10(2024):3126. |
入库方式: OAI收割
来源:地理科学与资源研究所
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