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Crack Monitoring in Resonance Fatigue Testing of Welded Specimens Using Digital Image Correlation
Published on: September 29, 2019
Lamb wave line sensing for crack detection in a welded stiffener
Yun-Kyu An1, Jae Hong Kim2, Hong Jae Yim3
1International Institute for Urban Systems Engineering, Southeast University, Nanjing 210096, China. ayk2028@gmail.com.
This study introduces a new Lamb wave sensing method for detecting cracks in welded structures. The technique effectively distinguishes crack signals from reflections, improving accuracy and reducing false alarms in structural health monitoring.
Area of Science:
- Materials Science
- Mechanical Engineering
- Non-Destructive Testing
Background:
- Lamb wave-based structural health monitoring is crucial for detecting damage in metallic structures.
- Detecting cracks in welded joints presents challenges due to complex wave reflections and stress concentrations.
- Existing methods struggle to differentiate crack signals from structural noise in real-world applications.
Purpose of the Study:
- To propose and validate a novel Lamb wave line sensing technique for accurate crack detection.
- To overcome the challenge of mixed Lamb wave modes and reflections in complex waveguides, particularly in welded joints.
- To enhance crack detectability and minimize false alarms in structural health monitoring systems.
Main Methods:
- Utilizing a frequency-wavenumber domain analysis to extract crack-induced Lamb wave modes.
- Employing a line sensing approach along a single measurement path.
- Experimental and numerical validation on vertically stiffened metallic structures.
Main Results:
- The proposed technique successfully identifies and localizes subsurface cracks in welded stiffeners.
- It effectively distinguishes crack signals from reflections originating from the welded joint and the stiffener.
- The method demonstrates robustness against environmental and operational variations by avoiding baseline data comparison.
Conclusions:
- The novel Lamb wave line sensing technique offers enhanced crack detectability in welded structures.
- This method provides a reliable approach for structural health monitoring, minimizing false alarms.
- The technique is validated for identifying and localizing subsurface cracks in complex metallic structures.
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