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Effective discrimination of acoustic emission source signals for structural health monitoring

Kaphle, Manindra R., Tan, Andy, Thambiratnam, David, & Chan, Tommy H.T. (2012) Effective discrimination of acoustic emission source signals for structural health monitoring. Advances in Structural Engineering, 15(5), pp. 707-716.

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Abstract

Acoustic emission (AE) is the phenomenon where stress waves are generated due to rapid release of energy within a material caused by sources such as crack initiation or growth. AE technique involves recording the stress waves by means of sensors and subsequent analysis of the recorded signals to gather information about the nature of the source. Though AE technique is one of the popular non destructive evaluation (NDE) techniques for structural health monitoring of mechanical, aerospace and civil structures; several challenges still exist in successful application of this technique. Presence of spurious noise signals can mask genuine damage‐related AE signals; hence a major challenge identified is finding ways to discriminate signals from different sources. Analysis of parameters of recorded AE signals, comparison of amplitudes of AE wave modes and investigation of uniqueness of recorded AE signals have been mentioned as possible criteria for source differentiation. This paper reviews common approaches currently in use for source discrimination, particularly focusing on structural health monitoring of civil engineering structural components such as beams; and further investigates the applications of some of these methods by analyzing AE data from laboratory tests.

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ID Code: 53003
Item Type: Journal Article
Keywords: Acoustic Emission, Source Differentiation, Parameter Analysis, Frequency Analysis, Wave Modes, Signal Uniqueness
DOI: 10.1260/1369-4332.15.5.707
ISSN: 1369-4332
Divisions: Current > Schools > School of Chemistry, Physics & Mechanical Engineering
Current > Schools > School of Civil Engineering & Built Environment
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2012 Multi-Science Publishing
Deposited On: 09 Aug 2012 11:31
Last Modified: 20 Aug 2012 07:48

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