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dc.contributor.advisorMooney, Michael A.
dc.contributor.authorSchaeffer, Kevin P.
dc.date.accessioned2016-07-06T13:46:10Z
dc.date.accessioned2022-02-03T12:56:05Z
dc.date.available2016-07-06T13:46:10Z
dc.date.available2022-02-03T12:56:05Z
dc.date.issued2016
dc.identifierT 8096
dc.identifier.urihttps://hdl.handle.net/11124/170323
dc.descriptionIncludes bibliographical references.
dc.description2016 Summer.
dc.description.abstractTunnel boring machines (TBMs) are routinely used for the excavation of tunnels across a range of ground conditions, from hard rock to soft ground. In complex ground conditions and in urban environments, the TBM susceptible to damage due to uncertainty of what lies ahead of the tunnel face. The research presented here explores the application of electrical resistivity theory for use in the TBM tunneling environment to detect changing conditions ahead of the machine. Electrical resistivity offers a real-time and continuous imaging solution to increase the resolution of information along the tunnel alignment and may even unveil previously unknown geologic or man-made features ahead of the TBM. The studies presented herein, break down the tunneling environment and the electrical system to understand how its fundamental parameters can be isolated and tested, identifying how they influence the ability to predict changes ahead of the tunnel face. A proof-of-concept, scaled experimental model was constructed in order assess the ability of the model to predict a metal pipe (or rod) ahead of face as the TBM excavates through a saturated sand. The model shows that a prediction of up to three tunnel diameters could be achieved, but the unique presence of the pipe (or rod) could not be concluded with certainty. Full scale finite element models were developed in order evaluate the various influences on the ability to detect changing conditions ahead of the face. Results show that TBM/tunnel geometry, TBM type, and electrode geometry can drastically influence prediction ahead of the face by tens of meters. In certain conditions (i.e., small TBM diameter, low cover depth, large material contrasts), changes can be detected over 100 meters in front of the TBM. Various electrode arrays were considered and show that in order to better detect more finite differences (e.g., boulder, lens, pipe), the use of individual cutting tools as electrodes is highly advantageous to increase spatial resolution and current density close to the cutterhead
dc.format.mediumborn digital
dc.format.mediumdoctoral dissertations
dc.languageEnglish
dc.language.isoeng
dc.publisherColorado School of Mines. Arthur Lakes Library
dc.relation.ispartof2016 - Mines Theses & Dissertations
dc.rightsCopyright of the original work is retained by the author.
dc.subjectelectrical resistivity
dc.subjectprediction
dc.subjecttunnel boring machine
dc.titleExperimental and computational investigation of electrical resistivity imaging for prediction ahead of tunnel boring machines, An
dc.typeText
dc.contributor.committeememberLu, Ning, 1960-
dc.contributor.committeememberGutierrez, Marte S.
dc.contributor.committeememberSanti, Paul M. (Paul Michael), 1964-
dc.contributor.committeememberMitcham, Carl
thesis.degree.nameDoctor of Philosophy (Ph.D.)
thesis.degree.levelDoctoral
thesis.degree.disciplineCivil and Environmental Engineering
thesis.degree.grantorColorado School of Mines


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