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Service reliability evaluation of highway tunnel based on digital image processing.
Chunquan Dai1, Zhaochen Zhou2, Huidi Zhang2
1Shandong Civil Engineering Disaster Prevention and Mitigation Laboratory, Shandong University of Science and Technology, Qingdao, China.
Plos One
|August 11, 2023
Summary
A new method evaluates highway tunnel lining reliability using crack image analysis. This approach provides a practical, visual, and simple tool for tunnel maintenance and safety assessment.
Area of Science:
- Civil Engineering
- Structural Health Monitoring
- Image Analysis
Background:
- China's infrastructure development necessitates advanced highway tunnel maintenance.
- Increasing tunnel usage demands reliable service evaluation methods.
Purpose of the Study:
- To develop a quantitative method for assessing highway tunnel lining service reliability.
- To provide a practical tool for tunnel maintenance personnel.
Main Methods:
- Extracting crack parameters (length, width, fractal dimension) from tunnel lining images.
- Utilizing EM clustering for disease grading and relative Euclidean distance for safety classification.
- Applying Partial Least Squares (PLS) to establish a reliability evaluation formula.
Main Results:
- A five-grade safety classification system (normal to hazardous) was established.
- The PLS method yielded a reliable evaluation formula with good fitting effects.
- The proposed method demonstrated superior visibility and simplicity compared to expert and national standard methods.
Conclusions:
- The developed method offers an effective and practical approach for highway tunnel service reliability evaluation.
- This technique supports informed decision-making in tunnel maintenance and management.
- The study highlights the potential of image analysis in structural health monitoring.
