Abstract

The problem of identifying hidden inhomogeneities in composite materials has been investigated. An effective approach has been proposed that allows recognizing the presence of heterogeneity and determining its type, based on monitoring changes in the parameters of surface wave fields. To increase the informativeness of the wave field, an original method has been developed that allows capturing minor differences in wave fields. This method is based on the use of optimal signal expansions on a basis that is adaptively tuned to the maximum possible sensitivity to heterogeneity characteristics. A series of experimental studies was conducted to investigate the possibility of using this approach to identify heterogeneities in a sandwich composite. The possibility of recognizing the presence and type of heterogeneity (separation of fiberglass, rigid inclusions) from the reflected and transmitted wave field has been investigated. The experimental results showed that using of the proposed approach provides a clear recognition of the type of heterogeneity in the diagnostic space of images. When recognizing the presence of heterogeneity and determining its type in a sandwich composite, the transmitted wave field is more informative.

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