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Ammar, M A (2011) Optimization of Project Time-Cost Trade-Off Problem with Discounted Cash Flows. Journal of Construction Engineering and Management, 137(01), 65–71.

Gull, I (2011) Testing of Strength of Recycled Waste Concrete and Its Applicability. Journal of Construction Engineering and Management, 137(01), 1–5.

Hariga, M and El-Sayegh, S M (2011) Cost Optimization Model for the Multiresource Leveling Problem with Allowed Activity Splitting. Journal of Construction Engineering and Management, 137(01), 56–64.

Hassan, M M, Odeh, I and El-Rayes, K (2011) New Approach to Compare Glare and Light Characteristics of Conventional and Balloon Lighting Systems. Journal of Construction Engineering and Management, 137(01), 39–44.

Lucko, G (2011) Integrating Efficient Resource Optimization and Linear Schedule Analysis with Singularity Functions. Journal of Construction Engineering and Management, 137(01), 45–55.

Mitropoulos, P and Namboodiri, M (2011) New Method for Measuring the Safety Risk of Construction Activities: Task Demand Assessment. Journal of Construction Engineering and Management, 137(01), 30–38.

Rashidi, A, Jazebi, F and Brilakis, I (2011) Neurofuzzy Genetic System for Selection of Construction Project Managers. Journal of Construction Engineering and Management, 137(01), 17–29.

Regan, M, Smith, J and Love, P E D (2011) Impact of the Capital Market Collapse on Public-Private Partnership Infrastructure Projects. Journal of Construction Engineering and Management, 137(01), 6–16.

Shen, X, Lu, M and Chen, W (2011) Tunnel-Boring Machine Positioning during Microtunneling Operations through Integrating Automated Data Collection with Real-Time Computing. Journal of Construction Engineering and Management, 137(01), 72–85.

  • Type: Journal Article
  • Keywords: Automation; Robotics; Navigation; Microtunneling; Trenchless technology; Data collection; Computation; Automation; Robotics; Navigation; Microtunneling; Trenchless technology;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0000250
  • 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.

Zhou, Q, Fang, D and Mohamed, S (2011) Safety Climate Improvement: Case Study in a Chinese Construction Company. Journal of Construction Engineering and Management, 137(01), 86–95.