Deep Tunnel Detection Using Crosshole Radar Tomography

1995 ◽  
Author(s):  
Ken Hauser ◽  
Michael Jackson ◽  
John Lane ◽  
Richard Hodges
Keyword(s):  
Deep Tunnel ◽  
Tunnel Detection

Deep Tunnel Detection Using Crosshole Radar Tomography

1995 ◽  
Author(s):  
Ken Hauser ◽  
Michael Jackson ◽  
John Lane ◽  
Richard Hodges
Keyword(s):  
Deep Tunnel ◽  
Tunnel Detection

Electrical Geophysics for Deep Tunnel Detection at a Gold Mine Remediation Site

2012 ◽  
Author(s):  
Nicole Pendrigh ◽  
Phil Sirles ◽  
Paul Ivancie ◽  
Douglas LaBrecque
Keyword(s):  
Gold Mine ◽  
Deep Tunnel ◽  
Tunnel Detection ◽  
Mine Remediation ◽  
Electrical Geophysics

Saline intrusion in deep riser outfall systems

1995 ◽  
Vol 32 (2) ◽  
pp. 175-182
Author(s):  
Roger A. Howard
Keyword(s):  
Physical Model ◽  
Recent Work ◽  
Saline Intrusion ◽  
Deep Tunnel ◽  
Hydraulic Design ◽  
Novel Methods

Saline intrusion can seriously affect the performance of outfall systems and an understanding of the mechanisms causing intrusion is important in the hydraulic design of outfalls, particularly for deep riser tunnelled outfalls. The paper outlines the reasons for the occurrence of saline intrusion, the problems that arise when it is present and the methods available for prevention and purging. The paper draws on recent work undertaken on the design of a major deep tunnel outfall system using a physical model and outlines some novel methods devised for purging of the system.

Chicago Deep Tunnel – Thornton Reservoir Design, Construction and Operation

2015 ◽  
Vol 2015 (12) ◽  
pp. 5623-5632
Author(s):  
Louis V Storino ◽  
Brian E Wawczak ◽  
Kevin M Fitzpatrick
Keyword(s):  
Deep Tunnel ◽  
Reservoir Design ◽  
Design Construction

Effects of In-situ Stress on Blasting Damage during Deep Tunnel Excavation

2021 ◽  
Author(s):  
Sheng Luo ◽  
Peng Yan ◽  
Wen-Bo Lu ◽  
Ming Chen ◽  
Gao-Hui Wang ◽  
...  
Keyword(s):  
In Situ Stress ◽  
Deep Tunnel ◽  
Tunnel Excavation

scholarly journals Quantitative Risk Assessment for Deep Tunnel Failure Based on Normal Cloud Model: A Case Study at the ASHELE Copper Mine, China

2021 ◽  
Vol 11 (11) ◽  
pp. 5208
Author(s):  
Jianpo Liu ◽  
Hongxu Shi ◽  
Ren Wang ◽  
Yingtao Si ◽  
Dengcheng Wei ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Large Scale ◽  
Cloud Model ◽  
Quantitative Risk Assessment ◽  
Geological Condition ◽  
Deep Tunnel ◽  
Entropy Weight ◽  
Copper Mine ◽  
Evaluation Indexes ◽  
Metal Mines

The spatial and temporal distribution of tunnel failure is very complex due to geologic heterogeneity and variability in both mining processes and tunnel arrangement in deep metal mines. In this paper, the quantitative risk assessment for deep tunnel failure was performed using a normal cloud model at the Ashele copper mine, China. This was completed by considering the evaluation indexes of geological condition, mining process, and microseismic data. A weighted distribution of evaluation indexes was determined by implementation of an entropy weight method to reveal the primary parameters controlling tunnel failure. Additionally, the damage levels of the tunnel were quantitatively assigned by computing the degree of membership that different damage levels had, based on the expectation normalization method. The methods of maximum membership principle, comprehensive evaluation value, and fuzzy entropy were considered to determine the tunnel damage levels and risk of occurrence. The application of this method at the Ashele copper mine demonstrates that it meets the requirement of risk assessment for deep tunnel failure and can provide a basis for large-scale regional tunnel failure control in deep metal mines.

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