Abstract：
:Signal modeling has been proven to be an useful tool to characterize damaged materials under ultrasonic nondestructive evaluation (NDE). In this paper, we introduce a novel digital signal model for ultrasonic NDE of multilayered materials. This model borrows concepts from lattice filter theory, and bridges them to the physics involved in the wave-material interactions. In particular, the proposed theoretical framework shows that any multilayered material can be characterized by a transfer function with sparse coefficients. The filter coefficients are linked to the physical properties of the material and are analytically obtained from them, whereas a sparse distribution naturally arises and does not rely on heuristic approaches. The developed model is first validated with experimental measurements obtained from multilayered media consisting of homogeneous solids. Then, the sparse structure of the obtained digital filter is exploited through a model-based inverse problem for damage identification in a carbon fiber-reinforced polymer (CFRP) plate.
journal_name
Ultrasonicsjournal_title
Ultrasonicsauthors
Bochud N,Gomez AM,Rus G,Peinado AMdoi
10.1016/j.ultras.2015.05.013subject
Has Abstractpub_date
2015-09-01 00:00:00pages
160-73eissn
0041-624Xissn
1874-9968pii
S0041-624X(15)00132-8journal_volume
62pub_type
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