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Title: Discrete wavelet analysis of acoustic emissions - identification of CFR composite failure modes

Abstract

The discrete wavelet transform is applied to the analysis of acoustic emission (AE) signals collected through static loading of unidirectional and cross-ply carbon fiber reinforced (CFR) composite specimen. Using this technique, the AE signals are decomposed to various wavelet levels (eleven in all) in the time-frequency domain. A general trend is observed by investigating the energy distribution of decomposed AE signals. This trend indicates that the energy in the AE signals are dominated by three levels with their representative frequency range and energy magnitude. The analysis indicates that the information in the three dominant wavelet levels may be related to various failure modes in CFR composites. In this paper, the results indicate that wavelets-based signal processing may be a strong tool in the analysis of acoustic emissions.

Authors:
; ; ;  [1]
  1. Texas Tech Univ., Lubbock, TX (United States)
Publication Date:
OSTI Identifier:
563620
Report Number(s):
CONF-9606176-
TRN: 98:000443-0010
Resource Type:
Conference
Resource Relation:
Conference: 8. Society for Experimental Mechanics (SEM) international congress on experimental mechanics, Nashville, TN (United States), 10-13 Jun 1996; Other Information: PBD: 1996; Related Information: Is Part Of 1996 VIII international congress on experimental mechanics; PB: 451 p.
Country of Publication:
United States
Language:
English
Subject:
36 MATERIALS SCIENCE; CARBON FIBERS; REINFORCED MATERIALS; ACOUSTIC EMISSION TESTING; STATIC LOADS; FRACTURE PROPERTIES

Citation Formats

Qi, Gang, Barhorst, A, Hashemi, J, and Kamala, G. Discrete wavelet analysis of acoustic emissions - identification of CFR composite failure modes. United States: N. p., 1996. Web.
Qi, Gang, Barhorst, A, Hashemi, J, & Kamala, G. Discrete wavelet analysis of acoustic emissions - identification of CFR composite failure modes. United States.
Qi, Gang, Barhorst, A, Hashemi, J, and Kamala, G. Tue . "Discrete wavelet analysis of acoustic emissions - identification of CFR composite failure modes". United States.
@article{osti_563620,
title = {Discrete wavelet analysis of acoustic emissions - identification of CFR composite failure modes},
author = {Qi, Gang and Barhorst, A and Hashemi, J and Kamala, G},
abstractNote = {The discrete wavelet transform is applied to the analysis of acoustic emission (AE) signals collected through static loading of unidirectional and cross-ply carbon fiber reinforced (CFR) composite specimen. Using this technique, the AE signals are decomposed to various wavelet levels (eleven in all) in the time-frequency domain. A general trend is observed by investigating the energy distribution of decomposed AE signals. This trend indicates that the energy in the AE signals are dominated by three levels with their representative frequency range and energy magnitude. The analysis indicates that the information in the three dominant wavelet levels may be related to various failure modes in CFR composites. In this paper, the results indicate that wavelets-based signal processing may be a strong tool in the analysis of acoustic emissions.},
doi = {},
url = {https://www.osti.gov/biblio/563620}, journal = {},
number = ,
volume = ,
place = {United States},
year = {1996},
month = {12}
}

Conference:
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