Doctoral Dissertations
Keywords and Phrases
Demonstration Mobile Seismic Unit (DMSU)
Abstract
"Multi-method seismic surface wave approach was used to locate and estimate the dimensions of shallow horizontally-oriented cylindrical voids or manmade tunnels. The primary analytical methods employed were Attenuation Analysis of Rayleigh Waves (AARW), Surface Wave Common Offset (SWCO), and Spiking Filter (SF). Surface wave data were acquired at six study sites using a towed 24-channel land streamer and elastic-band accelerated weight-drop seismic source. Each site was underlain by one tunnel, nominally 1 meter in diameter and depth. The acquired surface wave data were analyzed automatically. Then interpretations compared to the field measurements to ascertain the degree of accuracy. The purpose of this research is to analyze the field response of Rayleigh waves to the presence of shallow tunnels. The SF technique used the variation of seismic signal response along a geophone array to determine void presence in the subsurface. The AARW technique was expanded for practical application, as suggested by Nasseri (2006), in order to indirectly estimate void location using a Normalized Energy Distance (NED) parameter for vertical tunnel dimension measurements and normalized Cumulative Logarithmic Decrement (CALD) values for horizontal tunnel dimension measurements. Confidence in tunnel detects is presented as a measure of NED signal strength. Conversely, false positives are reduced by AARW through analysis of sub-array data. The development of such estimations is a promising tool for engineers that require quantitative measurements of manmade tunnels in the shallow subsurface"--Abstract, page iii.
Advisor(s)
Anderson, Neil L. (Neil Lennart), 1954-
Rogers, J. David
Committee Member(s)
Cawlfield, Jeffrey D.
Shore, Michael J.
Symons, Neill P.
Grant, Steven L.
Department(s)
Geosciences and Geological and Petroleum Engineering
Degree Name
Ph. D. in Geological Engineering
Sponsor(s)
U.S. Army Research Laboratory
Publisher
Missouri University of Science and Technology
Publication Date
2009
Pagination
xiv, 246 pages
Note about bibliography
Includes bibliographical references (pages 244-245).
Rights
© 2009 Niklas Henry Putnam, All rights reserved.
Document Type
Dissertation - Open Access
File Type
text
Language
English
Subject Headings
Tunnel detectionSurface wavesElectromagnetic wavesRayleigh waves -- AnalysisMass attenuation coefficients
Thesis Number
T 10173
Print OCLC #
858864800
Electronic OCLC #
858865570
Recommended Citation
Putnam, Niklas Henry, "Analysis using surface wave methods to detect shallow manmade tunnels" (2009). Doctoral Dissertations. 2134.
https://scholarsmine.mst.edu/doctoral_dissertations/2134