A Wavelet-Based Damage Detection Approach for Acousto-Ultrasonic In Situ Monitoring Systems

Chin Kian Liew; Martin Veidt

doi:10.4028/www.scientific.net/KEM.471-472.809

Paper Titles

Preparation and Thermal Properties of Cellulose/Layered Silicate Montmorillonite Nanocomposites Prepared via Ionic Liquids
p.786

Investigation of Phase Transformation and Structure Evolution of Electrospun Copper Oxide Nanofibers during Thermal Annealing
p.792

Characterization of Tantalum Carbide Reinforced Copper Composite Developed Using Mechanical Alloying
p.798

Effect of Milling Speed on Properties of Fe-NbC Composite Prepared by Mechanical Alloying
p.804

A Wavelet-Based Damage Detection Approach for Acousto-Ultrasonic In Situ Monitoring Systems
p.809

The Influence of Mercerised Kenaf Fibres Reinforced Polylactic Acid Composites on Dynamic Mechanical Analysis
p.815

Investigation of Hardness of Short Abaca (Musa Textile Nee) Fibre-Reinforced High Impact Polystyrene (HIPS) Composites by Response Surface Methodology
p.821

Influence of Processing Aids and Hydroxyapatite as Fillers on Flow Behaviour and Mechanical Properties of Ultra High Molecular Weight Polyethylene/High Density Polyethylene Composites
p.827

Buckling Behavior of General Dome Ends under External Pressure, Using Finite Element Analysis
p.833

HomeKey Engineering MaterialsKey Engineering Materials Vols. 471-472A Wavelet-Based Damage Detection Approach for...

A Wavelet-Based Damage Detection Approach for Acousto-Ultrasonic In Situ Monitoring Systems

Abstract:

In this research, an advanced signal processing technique using wavelet analysis has been developed for a guided wave structural health monitoring system. The approach was applied for the detection of delamination in carbon fibre reinforced composites. A monolithic piezoceramic actuator was attached to a laminate plate for wave generation while laser vibrometry was used to facilitate the measurements of the wave response in a sensor network. This database of wave response was then processed using the continuous wavelet transform to obtain the positional frequency content. Transforms between damaged and undamaged states were compared to ascertain the presence of defects by evaluating the total energy of the time-frequency density function. Results show high damage detection indices depending on the location of the sensor and normalisation factor applied while there are positive indications that this methodology can be extended for damage characterisation.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Key Engineering Materials (Volumes 471-472)

Pages:

809-814

DOI:

https://doi.org/10.4028/www.scientific.net/KEM.471-472.809

Citation:

Cite this paper

Online since:

February 2011

Authors:

Chin Kian Liew, Martin Veidt

Keywords:

Damage Detection, Fiber-Reinforced Composites, Guided Wave Ultrasonics, Structural Health Monitoring (SHM), Wavelet Analysis

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] W.J. Staszewski, C. Boller and G.R. Tomlinson: Health Monitoring of Aerospace Structures (John Wiley & Sons Ltd., UK 2004).

Google Scholar

[2] M. Staudenmann: Structural Waves in Nondestructive Testing (Institute of Mechanics, ETH Zurich 1995).

Google Scholar

[3] A. Raghavan and C.E.S. Cesnik: The Shock and Vibration Digest Vol. 39 (2007), p.91.

Google Scholar

[4] J.L. Rose: Ultrasonic Waves in Solid Media (Cambridge University Press, UK 1999).

Google Scholar

[5] K.F. Graff: Wave Motion in Elastic Solids (Dover Publication Inc., UK 1991).

Google Scholar

[6] A.C. Okafor and A. Dutta: Smart Materials and Structures Vol. 9 (2000), p.906.

Google Scholar

[7] C.A. Paget, S. Grondel, K. Levin and C. Delebarre: Smart Materials and Structures Vol. 12 (2003), p.393.

Google Scholar

[8] C.U. Sung, J.H. Oh, C.G. Kim and C.S. Hong: Journal of Intelligent Material Systems and Structures Vol. 11 (2000), p.180.

Google Scholar

[9] I. Daubechies: Ten Lectures on Wavelets (CBMS, Vol. 61, SIAM, USA 2006).

Google Scholar

[10] W.L. Bayissa and N. Haritos: Proceedings of the 1st International Conference on Structural Condition Assessment, Monitoring and Improvement (Perth, Australia 2005), p.123.

Google Scholar

[11] C.K. Liew and M. Veidt: Proceedings of the 13th Australian International Aerospace Congress (Melbourne, Australia 2009).

Google Scholar

[12] P. Loughlin and F. Cakrak: Mech. Systems and Signal Processing Vol. 14 (2000) p.511.

Google Scholar