Composite laminates damage detection based on basis pursuit denoising algorithm

Caibin Xu; Xuefeng Chen; Zhi Zhai; Hao Zuo

doi:10.1109/IECON.2016.7793386

Composite laminates damage detection based on basis pursuit denoising algorithm

Caibin Xu
, Xuefeng Chen
, Zhi Zhai
, Hao Zuo

School of Mechanical Engineering

Xi'an Jiaotong University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

When Lamb waves propagates in composite laminates, the direction-dependent property parameters of the composite laminates lead to different propagation velocities, which is known as the anisotropy nature. It makes the problem of damage detection more difficult. A sparse reconstruction based damage imaging method considering the anisotropy nature of composite laminates is presented in this paper. A propagation model of Lamb waves considering the propagation directions is introduced to build a wavefield dictionary. Then the problem of damage detection is formulated as a sparse reconstruction problem, which can be solved by basis pursuit denoising algorithm. Finally, experiments with simulated damages are performed and the results validate the effectiveness of the method.

Original language	English
Title of host publication	Proceedings of the IECON 2016 - 42nd Annual Conference of the Industrial Electronics Society
Publisher	IEEE Computer Society
Pages	394-399
Number of pages	6
ISBN (Electronic)	9781509034741
DOIs	https://doi.org/10.1109/IECON.2016.7793386
State	Published - 21 Dec 2016
Event	42nd Conference of the Industrial Electronics Society, IECON 2016 - Florence, Italy Duration: 24 Oct 2016 → 27 Oct 2016

Publication series

Name	IECON Proceedings (Industrial Electronics Conference)

Conference

Conference	42nd Conference of the Industrial Electronics Society, IECON 2016
Country/Territory	Italy
City	Florence
Period	24/10/16 → 27/10/16

Keywords

Basis pursuit denoising
Composites plate
Lamb waves
Sparse reconstruction
Structural health monitoring

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10.1109/IECON.2016.7793386

Cite this

Xu, C., Chen, X., Zhai, Z., & Zuo, H. (2016). Composite laminates damage detection based on basis pursuit denoising algorithm. In Proceedings of the IECON 2016 - 42nd Annual Conference of the Industrial Electronics Society (pp. 394-399). Article 7793386 (IECON Proceedings (Industrial Electronics Conference)). IEEE Computer Society. https://doi.org/10.1109/IECON.2016.7793386

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title = "Composite laminates damage detection based on basis pursuit denoising algorithm",

abstract = "When Lamb waves propagates in composite laminates, the direction-dependent property parameters of the composite laminates lead to different propagation velocities, which is known as the anisotropy nature. It makes the problem of damage detection more difficult. A sparse reconstruction based damage imaging method considering the anisotropy nature of composite laminates is presented in this paper. A propagation model of Lamb waves considering the propagation directions is introduced to build a wavefield dictionary. Then the problem of damage detection is formulated as a sparse reconstruction problem, which can be solved by basis pursuit denoising algorithm. Finally, experiments with simulated damages are performed and the results validate the effectiveness of the method.",

keywords = "Basis pursuit denoising, Composites plate, Lamb waves, Sparse reconstruction, Structural health monitoring",

author = "Caibin Xu and Xuefeng Chen and Zhi Zhai and Hao Zuo",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 42nd Conference of the Industrial Electronics Society, IECON 2016 ; Conference date: 24-10-2016 Through 27-10-2016",

year = "2016",

month = dec,

day = "21",

doi = "10.1109/IECON.2016.7793386",

language = "英语",

series = "IECON Proceedings (Industrial Electronics Conference)",

publisher = "IEEE Computer Society",

pages = "394--399",

booktitle = "Proceedings of the IECON 2016 - 42nd Annual Conference of the Industrial Electronics Society",

}

Xu, C, Chen, X, Zhai, Z & Zuo, H 2016, Composite laminates damage detection based on basis pursuit denoising algorithm. in Proceedings of the IECON 2016 - 42nd Annual Conference of the Industrial Electronics Society., 7793386, IECON Proceedings (Industrial Electronics Conference), IEEE Computer Society, pp. 394-399, 42nd Conference of the Industrial Electronics Society, IECON 2016, Florence, Italy, 24/10/16. https://doi.org/10.1109/IECON.2016.7793386

Composite laminates damage detection based on basis pursuit denoising algorithm. / Xu, Caibin; Chen, Xuefeng; Zhai, Zhi et al.
Proceedings of the IECON 2016 - 42nd Annual Conference of the Industrial Electronics Society. IEEE Computer Society, 2016. p. 394-399 7793386 (IECON Proceedings (Industrial Electronics Conference)).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Composite laminates damage detection based on basis pursuit denoising algorithm

AU - Xu, Caibin

AU - Chen, Xuefeng

AU - Zhai, Zhi

AU - Zuo, Hao

PY - 2016/12/21

Y1 - 2016/12/21

N2 - When Lamb waves propagates in composite laminates, the direction-dependent property parameters of the composite laminates lead to different propagation velocities, which is known as the anisotropy nature. It makes the problem of damage detection more difficult. A sparse reconstruction based damage imaging method considering the anisotropy nature of composite laminates is presented in this paper. A propagation model of Lamb waves considering the propagation directions is introduced to build a wavefield dictionary. Then the problem of damage detection is formulated as a sparse reconstruction problem, which can be solved by basis pursuit denoising algorithm. Finally, experiments with simulated damages are performed and the results validate the effectiveness of the method.

AB - When Lamb waves propagates in composite laminates, the direction-dependent property parameters of the composite laminates lead to different propagation velocities, which is known as the anisotropy nature. It makes the problem of damage detection more difficult. A sparse reconstruction based damage imaging method considering the anisotropy nature of composite laminates is presented in this paper. A propagation model of Lamb waves considering the propagation directions is introduced to build a wavefield dictionary. Then the problem of damage detection is formulated as a sparse reconstruction problem, which can be solved by basis pursuit denoising algorithm. Finally, experiments with simulated damages are performed and the results validate the effectiveness of the method.

KW - Basis pursuit denoising

KW - Composites plate

KW - Lamb waves

KW - Sparse reconstruction

KW - Structural health monitoring

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U2 - 10.1109/IECON.2016.7793386

DO - 10.1109/IECON.2016.7793386

M3 - 会议稿件

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T3 - IECON Proceedings (Industrial Electronics Conference)

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EP - 399

BT - Proceedings of the IECON 2016 - 42nd Annual Conference of the Industrial Electronics Society

PB - IEEE Computer Society

T2 - 42nd Conference of the Industrial Electronics Society, IECON 2016

Y2 - 24 October 2016 through 27 October 2016

ER -

Composite laminates damage detection based on basis pursuit denoising algorithm

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