Title

Monitoring For Close Proximity Tunneling Effects On An Existing Tunnel Using Principal Component Analysis Technique With Limited Sensor Data

Keywords

Blind source separation; Close proximity tunneling; Field monitoring; Observational method; Principal component analysis; Structural health monitoring; Underdetermined system

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. © 2014 Elsevier Ltd.

Publication Date

1-1-2014

Publication Title

Tunnelling and Underground Space Technology

Volume

43

Number of Pages

398-412

Document Type

Article

Personal Identifier

scopus

DOI Link

https://doi.org/10.1016/j.tust.2014.06.003

Socpus ID

84904391996 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/84904391996

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