2006
DOI: 10.4028/www.scientific.net/amr.13-14.69
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Progress Towards a Forward Model of the Complete Acoustic Emission Process

Abstract: Acoustic emission (AE) techniques have obvious attractions for structural health monitoring (SHM) due to their extreme sensitivity and low sensor density requirement. A factor preventing the adoption of AE monitoring techniques in certain industrial sectors is the lack of a quantitative deterministic model of the AE process. In this paper, the development of a modular AE model is described that can be used to predict the received time-domain waveform at a sensor as a result of an AE event elsewhere in the stru… Show more

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Cited by 20 publications
(20 citation statements)
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“…Instead the rise-time is typically estimated based on the elastic properties of the bulk material. This type of source modeling has been successfully applied to many cases, and the basic concept has been used within the generalized theory of acoustic emission by Ono and Ohtsu [8,13], the work of Scruby [14] and numerous other analytical descriptions [7,9,15,16]. In recent years it has become convenient to use numerical methods to model acoustic emission sources.…”
Section: Introductionmentioning
confidence: 99%
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“…Instead the rise-time is typically estimated based on the elastic properties of the bulk material. This type of source modeling has been successfully applied to many cases, and the basic concept has been used within the generalized theory of acoustic emission by Ono and Ohtsu [8,13], the work of Scruby [14] and numerous other analytical descriptions [7,9,15,16]. In recent years it has become convenient to use numerical methods to model acoustic emission sources.…”
Section: Introductionmentioning
confidence: 99%
“…In contrast to the source model, the theoretical description and numerical implementation of wave propagation is already well established [10,11,16,17,19,20,27]. However, it is important to consider the effects of attenuation, dispersion and propagation in guiding media to accurately capture the characteristics of the signal (e.g.…”
Section: Introductionmentioning
confidence: 99%
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“…This is typically done by phenomenological observations [6], by comparative measurement of test specimens with known types of AE sources [7,8] or subsequent microscopy [9]. Recent advances also allow the forward prediction of the emitted AE signal of a specific source type by analytical methods [10] or finite element modeling (FEM) [11][12][13].…”
mentioning
confidence: 99%