Artificial Intelligence and Data Science
Online ISSN : 2435-9262
ACCURACY ENHANCEMENT OF FLAW IMAGING FOR ADAPTIVE FSAP USING PARTICLE FILTER
Yasuhiko SAITOKyohei HAYASHITaizo MARUYAMAKazuyuki NAKAHATASohichi HIROSE
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JOURNAL OPEN ACCESS

2022 Volume 3 Issue J2 Pages 682-692

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Abstract

Full waveforms sampling and processing (FSAP) has been proposed as a method for reconstructing internal flaws images using an ultrasonic array transducer. The FSAP is an adaptive method that can reconstruct flaws in a target material underwater by considering the wave diffraction at the undulating target surface. As the first step in the adaptive FSAP, the shape of the water-solid interface is estimated by the scattered ultrasonic wave from the interface. In the second step, the image of internal flaws in the solid is reconstructed by calculating appropriate ultrasonic beam paths through the interface. In this study, a particle filter is applied to interpolate incomplete parts of the interface and extrapolate its whole shape adequately. The particle filter optimizes the function parameter representing the interfacial curve by setting the likelihood function to reduce the image noise in the vicinity of the interface. Here the numerical simulations were performed using the scattered wave with the finite integration technique. This approach showed an improvement in the accuracy of flaws in the target material.

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© 2022 Japan Society of Civil Engineers
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