NDLI: Analyze of anomalous characteristics of advanced focused detection with DC resistivity in tunnel

Content Provider	IEEE Xplore Digital Library
Author	Tingwei Yang Baiyao Ruan Jianli Wang Junge Huang
Copyright Year	2010
Description	Author affiliation: College of earth science, Guilin University of Technology, China (Tingwei Yang; Baiyao Ruan; Jianli Wang) \|\| School of construction and safety engineering, Shanghai Institute of Technology, China (Junge Huang)
Abstract	In tunnel advanced detection, it will use FEM and physical experiment to simulate the anomalous characteristics of the new DC resistivity method of focus-current. Firstly, the principle and electrode arrangement will be introduced in the paper. Secondly, it makes an analog calculation to several relatively typical geoelectric models which apply the finite element method with solving anomalous potential for resistivity. And then, the experiment would testify the result of the calculation program with experimental-anagogic method. Finally, we make a special effort to investigate and study the features of advanced focused detection with DC resistivity in tunnel. The result shows that the method can reflect the anomaly obviously, and can be more effective to avoid the influence caused by side anomalies and construction machinery in tunnel. It has the characteristic that directional observation function, strong anti-jamming ability and real-time interpreted.
Starting Page	2756
Ending Page	2760
File Size	563850
Page Count	5
File Format	PDF
ISBN	9781424459315
e-ISBN	9781424459346
DOI	10.1109/FSKD.2010.5569222
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-08-10
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Electrodes Electric potential Tunnel advanced detection Current measurement Response character Clay simulation Conductivity Focused current Finite element methods Face Construction industry FEM
Content Type	Text
Resource Type	Article

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