Keywords
Monitoring, underground structures, sensor data, underdetermined
Abstract
A realistic field monitoring application to evaluate close proximity tunneling effects of a new tunnel on an existing tunnel is presented. A blind source separation (BSS)-based monitoring framework was developed using sensor data collected from the existing tunnel while the new tunnel was excavated. The developed monitoring framework is particularly useful to analyze underdetermined systems due to insufficient sensor data for explicit input force-output deformation relations. The analysis results show that the eigen-parameters obtained from the correlation matrix of raw sensor data can be used as excellent indicators to assess the tunnel structural behaviors during the excavation with powerful visualization capability of tunnel lining deformation. Since the presented methodology is data-driven and not limited to a specific sensor type, it can be employed in various proximity excavation monitoring applications.
Notes
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Graduation Date
2013
Semester
Spring
Advisor
Yun, Hae-Bum
Degree
Master of Science (M.S.)
College
College of Engineering and Computer Science
Department
Civil, Environmental, and Construction Engineering
Degree Program
Civil Engineering; Structures and Geotechnical Engineering
Format
application/pdf
Identifier
CFE0004718
URL
http://purl.fcla.edu/fcla/etd/CFE0004718
Language
English
Release Date
May 2013
Length of Campus-only Access
None
Access Status
Masters Thesis (Open Access)
Subjects
Dissertations, Academic -- Engineering and Computer Science, Engineering and Computer Science -- Dissertations, Academic
STARS Citation
Mehdawi, Nader, "Monitoring For Underdetermined Underground Structures During Excavation Using Limited Sensor Data" (2013). Electronic Theses and Dissertations. 2559.
https://stars.library.ucf.edu/etd/2559