Efficient Model Assisted Probability of Detection Estimations in Eddy Current NDT

In this article, an efficient 3D eddy current nondestructive evaluation (ECNDE) solver is proposed to make estimations for probability of detection (PoD) study. The singular value decomposition (SVD) works as the recompression technique to improve the overall performance of the adaptive cross approximation (ACA) algorithm-based boundary element method (BEM) ECNDE solver. Through the benchmark tests, the proposed solver is demonstrated to be an efficient simulation tool for model assisted PoD study with significant memory and CPU time savings while maintaining a good accuracy.