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Monitoring for Underdetermined Underground Structures during Excavation Using Limited Sensor Data
- Date Issued:
- 2013
- Abstract/Description:
- 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.
Title: | Monitoring for Underdetermined Underground Structures during Excavation Using Limited Sensor Data. |
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Name(s): |
Mehdawi, Nader, Author Yun, Hae-Bum, Committee Chair Sallam, Amr, Committee Member Chopra, Manoj, Committee Member , Committee Member University of Central Florida, Degree Grantor |
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Type of Resource: | text | |
Date Issued: | 2013 | |
Publisher: | University of Central Florida | |
Language(s): | English | |
Abstract/Description: | 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. | |
Identifier: | CFE0004718 (IID), ucf:49834 (fedora) | |
Note(s): |
2013-05-01 M.S. Engineering and Computer Science, Civil, Environmental and Construction Engineering Masters This record was generated from author submitted information. |
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Subject(s): | Monitoring -- Underground Structures -- Sensor Data -- underdetermined | |
Persistent Link to This Record: | http://purl.flvc.org/ucf/fd/CFE0004718 | |
Restrictions on Access: | public 2013-05-15 | |
Host Institution: | UCF |