A sparse digital signal model for ultrasonic nondestructive evaluation of layered materials

被引：9

作者：

Bochud, N. ^{[1
]}

Gomez, A. M. ^{[2
,3
]}

Rus, G. ^{[1
]}

Peinado, A. M. ^{[2
,3
]}

机构：

[1] Univ Granada, Politecn Fuentenueva, Dept Struct Mech, E-18071 Granada, Spain

[2] Univ Granada, Dpt Signal Theory Networking & Commun, E-18071 Granada, Spain

[3] Univ Granada, CITIC, E-18071 Granada, Spain

来源：

ULTRASONICS | 2015年 / 62卷

关键词：

Signal modeling; All-pole filter; Sparsity; Nondestructive evaluation; Composites; WAVE-PROPAGATION; MATRIX; MEDIA; FREQUENCY; POLYMERS; DAMAGE;

D O I：

10.1016/j.ultras.2015.05.013

中图分类号：

O42 [声学];

学科分类号：

070206 ; 082403 ;

摘要：

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. (C) 2015 Elsevier B.V. All rights reserved.

引用

页码：160 / 173

页数：14

共 42 条

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