Application of magnetic resonance sounding to tunnels for advanced detection of water-related disasters: A case study in the Dadushan Tunnel, Guizhou, China

测深 喀斯特 地质学 磁场 垂直的 发掘 天线(收音机) 地球磁场 共振(粒子物理) 物理 计算机科学 岩土工程 数学 电信 几何学 粒子物理学 海洋学 量子力学 古生物学
作者
Shengwu Qin,Zhongjun Ma,Chuandong Jiang,Jun Lin,Mingzhou Bai,Tingting Lin,Xiaofeng Yi,Xinlei Shang
出处
期刊:Tunnelling and Underground Space Technology [Elsevier BV]
卷期号:84: 364-372 被引量:23
标识
DOI:10.1016/j.tust.2018.11.032
摘要

The Dadushan Tunnel, which is located in the southwestern karst region of China in Guizhou Province, is one of the key elements of the Hukun High-Speed Railway. Cavities occur unpredictably in the tunnel, and well-developed karst conduits are frequently encountered. These features result in safety problems, such as water gushing and rapid flooding. In this paper, on the theoretical basis of the surface Magnetic Resonance Sounding (MRS) method, we propose Tunnel Magnetic Resonance Sounding (TMRS) in the tunnel space model and derive the expression of the MRS response signal with a vertical antenna. A direction angle formula is then created to calculate the perpendicular component of the transmitting field at arbitrary geomagnetic field and antenna directions. In addition, we present a comprehensive study on the TMRS based on forward modeling and numerical experiments. The relationship between the magnetic resonance signal response and the position and water content of water-bearing structures is obtained by forward modeling. In the numerical examples, the inversion results agree with the numerical model. The application of the method to a case study involving the Dadushan Tunnel indicates that the prediction results agree well with the excavation results. This paper establishes a theoretical basis for the development of a magnetic resonance sounding instrument for use in tunnels for the advanced detection of water-rich geological structures that can produce tunnel disasters.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
1秒前
SsHh完成签到,获得积分10
1秒前
哩哩完成签到,获得积分10
1秒前
1秒前
ZZRZZR发布了新的文献求助10
3秒前
Levon发布了新的文献求助10
3秒前
传奇3应助科研通管家采纳,获得10
4秒前
丸子发布了新的文献求助10
4秒前
Lucas应助科研通管家采纳,获得10
4秒前
Singularity应助科研通管家采纳,获得10
4秒前
田様应助科研通管家采纳,获得10
4秒前
damapd应助科研通管家采纳,获得10
4秒前
Owen应助科研通管家采纳,获得10
4秒前
丘比特应助科研通管家采纳,获得10
5秒前
深情安青应助科研通管家采纳,获得10
5秒前
5秒前
Singularity应助科研通管家采纳,获得10
5秒前
赘婿应助科研通管家采纳,获得10
5秒前
充电宝应助科研通管家采纳,获得10
5秒前
无极微光应助科研通管家采纳,获得20
5秒前
上官若男应助科研通管家采纳,获得10
5秒前
充电宝应助科研通管家采纳,获得10
5秒前
5秒前
传奇3应助科研通管家采纳,获得30
5秒前
Singularity应助科研通管家采纳,获得10
5秒前
桐桐应助科研通管家采纳,获得10
5秒前
Evelyn应助游游采纳,获得10
5秒前
斯文败类应助科研通管家采纳,获得10
5秒前
6秒前
6秒前
ding应助科研通管家采纳,获得10
6秒前
哩哩发布了新的文献求助10
6秒前
damapd应助科研通管家采纳,获得10
6秒前
Hello应助科研通管家采纳,获得10
6秒前
潇潇应助科研通管家采纳,获得10
6秒前
领导范儿应助科研通管家采纳,获得10
6秒前
大模型应助科研通管家采纳,获得10
6秒前
赘婿应助科研通管家采纳,获得10
6秒前
李健应助科研通管家采纳,获得10
6秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
AnnualResearch andConsultation Report of Panorama survey and Investment strategy onChinaIndustry 1000
卤化钙钛矿人工突触的研究 1000
Continuing Syntax 1000
Signals, Systems, and Signal Processing 610
简明药物化学习题答案 500
脑电大模型与情感脑机接口研究--郑伟龙 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6275283
求助须知:如何正确求助?哪些是违规求助? 8095044
关于积分的说明 16922145
捐赠科研通 5345223
什么是DOI,文献DOI怎么找? 2841901
邀请新用户注册赠送积分活动 1819135
关于科研通互助平台的介绍 1676400