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Efficient fictitious eigenfrequency issue-free full-wave simulation of 3D ultrasonic NDE using CFIE-based Nyström
Yang Bao1, Yiming Liu2, Jiahui Yu2
1College of Electronic and Optical Engineering, Nanjing University of Posts and Telecommunications, Nanjing, Jiangsu 210023, China; Fujian Key Laboratory of Special Intelligent Equipment Safety Measurement and Control, Fujian Special Equipment Inspection and Research Institute, Fuzhou, Fujian 350008, China.
This study introduces a new method for ultrasonic non-destructive evaluation (UNDE) that overcomes fictitious eigenfrequency issues. The combined field integral equation (CFIE) formulation with a high-order Nyström method (NM) and adaptive cross approximation (ACA) significantly improves computational efficiency and accuracy in 3D UNDE problems.
Area of Science:
- Engineering
- Computational Mechanics
- Materials Science
Background:
- Conventional boundary integral equations (CBIE) in ultrasonic non-destructive evaluation (UNDE) suffer from fictitious eigenfrequency issues, leading to numerical instability and unsolvable matrix equations.
- These issues arise at specific frequencies, preventing accurate simulation of UNDE models using methods like the Nyström method (NM).
Purpose of the Study:
- To develop a robust and efficient numerical method for 3D UNDE that avoids fictitious eigenfrequencies.
- To enhance the computational speed and accuracy of solving the combined field integral equation (CFIE) for complex geometries and multiple excitations.
Main Methods:
- A combined field integral equation (CFIE) formulation is proposed, linearly combining CBIE with hyper-singular boundary integral equations (HBIE) to suppress fictitious eigenfrequencies.
- A high-order Nyström method (NM) is employed for discretization, accelerated by a kernel-independent algorithm and adaptive cross approximation (ACA) for reduced computational complexity (O(N log N)).
- The fast excitation sweep (FES) algorithm is introduced to accelerate iterative solutions for multiple excitations, and Kriging interpolation is used to reduce frequency domain simulations.
Main Results:
- The proposed CFIE framework effectively eliminates fictitious eigenfrequencies and enhances numerical stability in 3D UNDE simulations.
- The integration of high-order NM, ACA, and FES algorithms leads to significant improvements in computational efficiency for complex models and multiple scanning positions.
- Experimental validation on benchmark cases shows excellent agreement between numerical predictions and measured data, confirming the model's accuracy and robustness.
Conclusions:
- The developed high-order NM solver, accelerated by ACA and FES within a CFIE framework, provides an efficient and accurate solution for 3D UNDE problems.
- The method demonstrates robustness and superior performance compared to existing techniques, particularly for complex geometries and multi-excitation scenarios.
- This approach offers a reliable tool for locating and reconstructing geometric or material information of defects in materials using UNDE.
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