Title

Monitoring for close proximity tunneling effects on an existing tunnel using principal component analysis technique with limited sensor data

Authors

Authors

H. B. Yun; S. H. Park; N. Mehdawi; S. Mokhtari; M. Chopra; L. N. Reddi;K. T. Park

Comments

Authors: contact us about adding a copy of your work at STARS@ucf.edu

Abbreviated Journal Title

Tunn. Undergr. Space Technol.

Keywords

Close proximity tunneling; Structural health monitoring; Observational; method; Blind source separation; Principal component analysis; Underdetermined system; Field monitoring; VARYING ENVIRONMENTAL-CONDITIONS; STRUCTURAL DAMAGE DIAGNOSIS; Construction & Building Technology; Engineering, Civil

Abstract

A realistic field monitoring application to evaluate close proximity tunneling effects of a new tunnel on an existing tunnel is presented. A Principal Component Analysis (PCA)-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 relations between force and deformation as the system input and output, respectively. 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. (C) 2014 Elsevier Ltd. All rights reserved.

Journal Title

Tunnelling and Underground Space Technology

Volume

43

Publication Date

1-1-2014

Document Type

Article

Language

English

First Page

398

Last Page

412

WOS Identifier

WOS:000342479500039

ISSN

0886-7798

Share

COinS