Journal of Information Systems Engineering and Management

Addressing Tunnel Segment Misalignment Challenges: A Comparative Analysis of Detection Techniques
Xu Wu 1, Boi-Yee Liao 2 *
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1 Ph.D candidate, Department of Engineering Management Research, International College, Krirk University, Bangkok, Thailand
2 Professor, Department of Engineering Management Research, International College, Krirk University, Bangkok, Thailand
* Corresponding Author
Research Article

Journal of Information Systems Engineering and Management, 2024 - Volume 9 Issue 4, Article No: 27811
https://doi.org/10.55267/iadt.07.15152

Published Online: 11 Sep 2024

Views: 282 | Downloads: 133

How to cite this article
APA 6th edition
In-text citation: (Wu & Liao, 2024)
Reference: Wu, X., & Liao, B.-Y. (2024). Addressing Tunnel Segment Misalignment Challenges: A Comparative Analysis of Detection Techniques. Journal of Information Systems Engineering and Management, 9(4), 27811. https://doi.org/10.55267/iadt.07.15152
Vancouver
In-text citation: (1), (2), (3), etc.
Reference: Wu X, Liao BY. Addressing Tunnel Segment Misalignment Challenges: A Comparative Analysis of Detection Techniques. J INFORM SYSTEMS ENG. 2024;9(4):27811. https://doi.org/10.55267/iadt.07.15152
AMA 10th edition
In-text citation: (1), (2), (3), etc.
Reference: Wu X, Liao BY. Addressing Tunnel Segment Misalignment Challenges: A Comparative Analysis of Detection Techniques. J INFORM SYSTEMS ENG. 2024;9(4), 27811. https://doi.org/10.55267/iadt.07.15152
Chicago
In-text citation: (Wu and Liao, 2024)
Reference: Wu, Xu, and Boi-Yee Liao. "Addressing Tunnel Segment Misalignment Challenges: A Comparative Analysis of Detection Techniques". Journal of Information Systems Engineering and Management 2024 9 no. 4 (2024): 27811. https://doi.org/10.55267/iadt.07.15152
Harvard
In-text citation: (Wu and Liao, 2024)
Reference: Wu, X., and Liao, B.-Y. (2024). Addressing Tunnel Segment Misalignment Challenges: A Comparative Analysis of Detection Techniques. Journal of Information Systems Engineering and Management, 9(4), 27811. https://doi.org/10.55267/iadt.07.15152
MLA
In-text citation: (Wu and Liao, 2024)
Reference: Wu, Xu et al. "Addressing Tunnel Segment Misalignment Challenges: A Comparative Analysis of Detection Techniques". Journal of Information Systems Engineering and Management, vol. 9, no. 4, 2024, 27811. https://doi.org/10.55267/iadt.07.15152
ABSTRACT
Tunnel misalignments compromise safety and efficiency in transportation and utilities. Visual inspection is imprecise, such as laser scanning and digital image correlation are required that lacks efficacy and stakeholder perception study like stakeholder perceptions. Check out these techniques towards stakeholder perspectives for project-specific features and user experiences, research can help improve tunnel engineering project decision-making, detection accuracy, and operational efficiency, hence ensuring tunnel infrastructure network reliability and safety. Tunnel segment misalignment detection, a major tunnel engineering difficulty, is researched to improve accuracy and efficiency. The main goals are detection method evaluation, stakeholder perspectives, and tunnel engineering insights. Mixed methods are employed for quantitative testing with different misalignment levels and qualitative tunnel builder interviews. Quantitative analysis examines visual inspection, laser scanning, total station, ultrasonic testing (UT), and digital image correlation (DIC). Low experimental % errors help laser scanning and DIC discover misalignments. UT is large, but total station and eye exam can detect smaller misalignments. The longest procedure studied is DIC. Qualitative stakeholder interviews enhance findings. Laser scanning is promising due to its accuracy and simplicity, yet cost and complexity persist. Visual inspection is simple yet subjective and error-prone. Qualitative insights help tunnel engineering project decision-making by revealing stakeholders' preferences and concerns as per stakeholder perspectives. The research has many effects that help to choose misalignment detection methods based on accuracy, usability, and cost. Qualitative stakeholder interviews inform training and equipment procurement for detection. This study exhibits misalignment detecting devices' performance and tunnel engineering benefits, offering practical applications for improving tunnel infrastructure detection accuracy, efficiency, safety, reliability, and user-friendly field technologies through qualitative analysis.
KEYWORDS
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