Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/8199
Title: Tunnel-boring machine positioning during microtunneling operations through integrating automated data collection with real-time computing
Authors: Shen, X
Lu, M
Chen, W 
Keywords: Automation
Microtunneling
Navigation
Robotics
Trenchless technology
Issue Date: 2011
Publisher: American Society of Civil Engineers
Source: Journal of construction engineering and management, 2011, v. 137, no. 1, p. 72-85 How to cite?
Journal: Journal of construction engineering and management 
Abstract: This research aims to develop an automated and cost-effective solution to guide the advance of a tunnel-boring machine (TBM) during microtunneling and pipe jacking operations. Pros and cons of currently available TBM guidance systems are evaluated. A simplified TBM guidance system is proposed based on integration of automated data collection with real-time computing. The TBM's position in terms of point coordinates is continuously and automatically surveyed by a robotic total station, thus making it feasible to derive any line and level deviations from as-designed tunnel alignment in real time. Furthermore, given the coordinates of three observation points on the TBM, the attitudes of the TBM, which are described by three rotation angles of yaw, pitch, and roll, can be determined by a vector observation algorithm. Monte Carlo simulation was conducted to assess errors of point positioning and attitude determination by the proposed solution. For concept proving and application demonstration, a hardware-software integrated prototype system was developed in house and validation experiments were successfully conducted in terms of: (1) automated surveying of multiple targets; (2) attitude determination for a moving object that mimicked a working TBM; and (3) field installation and testing based on an ongoing project.
URI: http://hdl.handle.net/10397/8199
ISSN: 0733-9364
EISSN: 1943-7862
DOI: 10.1061/(ASCE)CO.1943-7862.0000250
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