Non-invasive damage detection in composite beams using marker extraction and wavelets

Yi-Zhe Song, Christopher Bowen, H Alicia Kim, Aydin Nassehi, Julian Padget, Nick Gathercore, Andrew Dent

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

Simple and contactless methods for determining the health of metallic and composite structures are necessary to allow non-invasive Non-Destructive Evaluation (NDE) of damaged structures. Many recognized damage detection techniques, such as frequency shift, generalized fractal dimension and wavelet transform, have been described with the aim to identify, locate damage and determine the severity of damage. These techniques are often tailored for factors such as (i) type of material, (ii) damage patterns (crack, impact damage, delamination), and (iii) nature of input signals (space and time). In this paper, a wavelet-based damage detection framework that locates damage on cantilevered composite beams via NDE using computer vision technologies is presented. Two types of damage have been investigated in this research: (i) defects induced by removing material to reduce stiffness in a metallic beam and (ii) manufactured delaminations in a composite laminate. The novelty in the proposed approach is the use of bespoke computer vision algorithms for the contactless acquisition of modal shapes, a task that is commonly regarded as a barrier to practical damage detection. Using the proposed method, it is demonstrated that modal shapes of cantilever beams can be readily reconstructed by extracting markers using Hough Transform from images captured using conventional slow motion cameras. This avoids the need to use expensive equipment such as laser doppler vibrometers. The extracted modal shapes are then used as input for a wavelet transform damage detection, exploiting both discrete and continuous variants. The experimental results are verified using finite element models (FEM).
Original languageEnglish
Article number79830R
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume7983
Early online date17 Apr 2011
DOIs
Publication statusPublished - 2011
EventNondestructive Characterization for Composite Materials, Aerospace Engineering, Civil Infrastructure, and Homeland Security 2011, March 7, 2011 - March 10, 2011 - San Diego, CA, USA United States
Duration: 1 Jan 2011 → …

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Composite Beams
Damage Detection
Damage detection
markers
Wavelets
Damage
damage
composite materials
Composite materials
Delamination
Wavelet transforms
Computer vision
Computer Vision
Wavelet Transform
Hough transforms
Cantilever beams
Fractal dimension
Composite structures
computer vision
Laminates

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Non-invasive damage detection in composite beams using marker extraction and wavelets. / Song, Yi-Zhe; Bowen, Christopher; Kim, H Alicia; Nassehi, Aydin; Padget, Julian; Gathercore, Nick; Dent, Andrew.

In: Proceedings of SPIE - The International Society for Optical Engineering, Vol. 7983, 79830R, 2011.

Research output: Contribution to journalArticle

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