Addressing Tunnel Segment Misalignment Challenges: A Comparative Analysis of Detection Techniques
Xu Wu 1,
Boi-Yee Liao 2 * More Detail
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
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
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.
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