Ultrasonic imaging of defects in coarse-grained steels with the decomposition of the time reversal operator
Résumé
In the present work, the Synthetic Transmit Aperture (STA) imaging is combined with the Decomposition of the Time Reversal Operator (DORT) method to image a coarse grained austenitic-ferritic steel using a contact transducer array. The highly heterogeneous structure of this material produces a strong scattering noise in ultrasound images. Furthermore, the surface waves guided along the array interfere with the bulk waves backscattered by defects. In order to overcome these problems, the DORT method is applied before calculating images with the STA algorithm. The method consists in analyzing in the frequency domain the singular values and singular vectors of the full array transfer matrix. This paper first presents an analysis of the singular values of different waves contained in the data acquisition, which facilitates the identification of the subspace associated with the surface guided waves for filtering operations. Then, a filtered matrix is defined where the contribution of structural noise and guided waves are reduced. Finally, in the time domain, the STA algorithm is applied to this matrix in order to calculate an image with reduced structural noise. Experiments demonstrate that this filtering improves the signal-to-noise ratio by more than 12 dB in comparison with the STA image before filtering.
Mots clés
Data acquisition
Ferritic steel
Frequency domain analysis
Guided electromagnetic wave propagation
Signal to noise ratio
Surface defects
Surface waves
Time domain analysis
Transfer matrix method
Ultrasonic imaging
Decomposition of the time reversal operator
Filtering operations
Frequency domains
Heterogeneous structures
Singular vectors
Strong scatterings
Synthetic transmit aperture imaging
Ultrasound images
Signal processing