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Defect Imaging Enhancement through Optimized Shape Factors of the RAPID Algorithm Based on Guided Wave Beam Pattern
1Graduate School of Mechanical System Design, Pusan National University, Busan 46241, Korea.
Sensors (Basel, Switzerland)
|July 2, 2021
Summary
A modified guided ultrasonic wave imaging algorithm improves defect detection accuracy in steel plates. This technique enhances defect visualization for critical structures like nuclear power plant containment liner plates.
Area of Science:
- Materials Science
- Non-Destructive Testing
- Ultrasonic Wave Propagation
Background:
- Guided ultrasonic waves are effective for structural health monitoring.
- Imaging defects in thick steel plates presents challenges due to wave mode complexities.
- Nuclear power plant containment liner plates require reliable inspection methods.
Purpose of the Study:
- To enhance the imaging accuracy of defects in thick steel plates using guided ultrasonic waves.
- To investigate and address limitations of Lamb wave modes in imaging.
- To develop a modified imaging algorithm for improved defect characterization.
Main Methods:
- Application of guided ultrasonic wave inspection technique.
- Analysis of Lamb wave modes using short-time Fourier transform.
- Tomography verification and imaging analysis.
- Modification of a shape factor based on energy distribution and beam characteristics.
Main Results:
- Successfully illustrated defect images in a 6 mm steel plate simulating containment liner plate (CLP).
- Identified limitations of the antisymmetric Lamb wave mode in thick steel plates.
- Observed beam skewing and distortion phenomena in specific S0 Lamb wave modes.
- Demonstrated improved imaging accuracy with a modified shape function.
Conclusions:
- The modified imaging algorithm significantly improves defect imaging accuracy.
- The developed technique is suitable for field applications in critical infrastructure inspection.
- Addressing Lamb wave mode limitations is crucial for reliable structural health monitoring.
