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Analysis of acoustic emission data for structural health monitoring applications

Kaphle, Manindra R., Tan, Andy, Thambiratnam, David, & Chan, Tommy H.T. (2010) Analysis of acoustic emission data for structural health monitoring applications. In 6th Australasian Congress on Applied Mechanics (ACAM 6), 12-15 December 2010, Perth, Western Australia.

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    Abstract

    Acoustic emission (AE) is the phenomenon where high frequency stress waves are generated by rapid release of energy within a material by sources such as crack initiation or growth. AE technique involves recording these stress waves by means of sensors placed on the surface and subsequent analysis of the recorded signals to gather information such as the nature and location of the source. It is one of the several diagnostic techniques currently used for structural health monitoring (SHM) of civil infrastructure such as bridges. Some of its advantages include ability to provide continuous in-situ monitoring and high sensitivity to crack activity. But several challenges still exist. Due to high sampling rate required for data capture, large amount of data is generated during AE testing. This is further complicated by the presence of a number of spurious sources that can produce AE signals which can then mask desired signals. Hence, an effective data analysis strategy is needed to achieve source discrimination. This also becomes important for long term monitoring applications in order to avoid massive date overload. Analysis of frequency contents of recorded AE signals together with the use of pattern recognition algorithms are some of the advanced and promising data analysis approaches for source discrimination. This paper explores the use of various signal processing tools for analysis of experimental data, with an overall aim of finding an improved method for source identification and discrimination, with particular focus on monitoring of steel bridges.

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    ID Code: 39286
    Item Type: Conference Paper
    Keywords: Structural health monitoring, Acoustic emission, Signal processing, Frequency analysis, Source discrimination
    Subjects: Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > CIVIL ENGINEERING (090500) > Structural Engineering (090506)
    Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > MECHANICAL ENGINEERING (091300) > Mechanical Engineering not elsewhere classified (091399)
    Divisions: Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
    Past > Schools > School of Engineering Systems
    Past > Schools > School of Urban Development
    Copyright Owner: Copyright 2010 Please consult the authors.
    Deposited On: 21 Dec 2010 12:56
    Last Modified: 01 Mar 2012 00:27

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