Damage Detection in Composite Materials Using Airborne Acoustics

Article Preview

Abstract:

Composite materials are increasingly being used in a wide range of structural applications in place of metallic materials. This presents a new range of challenges when considering the monitoring of damage and failure in complex components. This paper explores these challenges and presents a potential monitoring method using airborne acoustics which is both non-contact and easily implemented. A carbon composite panel was manufactured and statically loaded in tension until failure. During the test, Digital Image Correlation (DIC) was used to measure full field surface strain in the panel. An array of microphones, placed adjacent to the panel, was used to capture airborne acoustic signals between 400Hz and 20kHz during the test. The captured sound waves potentially contain signals originating from a range of sources, such as fibre failures and matrix cracking, but also contain background noise. A range of techniques have been used to examine the signals and determine the onset of failure, including Short-Time Fourier Transforms (STFT). The detection of failure using the airborne acoustic system has been validated using the strain data from the DIC measurements. The results presented demonstrate the applicability of the airborne system to monitoring of composite components.

You might also be interested in these eBooks

Info:

Periodical:

Key Engineering Materials (Volumes 569-570)

Pages:

72-79

Citation:

Online since:

July 2013

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] D.T. G Katerelos, A. Paipetis, T. Loutas, G. Sotriadis, V. Kostopoulos and S.L. Ogin, In-situ Damage Monitoring of Cross-ply Laminates using Acoustic Emission, Plastics, Rubber and Composites. 38 (2009) 229-234.

DOI: 10.1179/174328909x435348

Google Scholar

[2] M.J. Eaton, R. Pullin and K.M. Holford, Acoustic Emission Source Location in Composite Materials using Delta T Mapping, Composites: Part A. 43 (2012) 856-863.

DOI: 10.1016/j.compositesa.2012.01.023

Google Scholar

[3] T.H. Loutas and V. Kostopoulos, Health monitoring of carbon/carbon, woven reinforced composites: Damage assessment by using advanced signal processing techniques. Part II: Acousto–ultrasonics monitoring of damage development, Composite Science Technology. 69 (2009).

DOI: 10.1016/j.compscitech.2008.09.042

Google Scholar

[4] J.B. Ihn and F.K. Chang, Pitch-catch active sensing methods in structural health monitoring for aircraft structures, Structural Health Monitoring 2008. 7 (2008) 5-19.

DOI: 10.1177/1475921707081979

Google Scholar

[5] M. Cudina, Detection of cavitation phenomenon in a centrifugal pump using audible sound, Mechanical Systems and Signal Processing. 17 (2003) 1335-1347.

DOI: 10.1006/mssp.2002.1514

Google Scholar

[6] P. Eret and C. Meskell, Microphone arrays as a leakage detection tool in industrial compressed air systems, Advances in Acoustics and Vibration, 689379 (2012).

DOI: 10.1155/2012/689379

Google Scholar

[7] X. Qingqing, Z. Laibin, L. Wei, Acoustic detection technology for gas pipeline leakage, Process Safety and Environmental Protection (2012).

Google Scholar