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Analytical and Experimental Study of Fatigue-Crack-Growth AE Signals in Thin Sheet Metals

The acoustic emission (AE) method is a very popular and well-developed method for passive structural health monitoring of metallic and composite structures. AE method has been efficiently used for damage source detection and damage characterization in a large variety of structures over the years, su...

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Autores principales: Joseph, Roshan, Giurgiutiu, Victor
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7602653/
https://www.ncbi.nlm.nih.gov/pubmed/33076412
http://dx.doi.org/10.3390/s20205835
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author Joseph, Roshan
Giurgiutiu, Victor
author_facet Joseph, Roshan
Giurgiutiu, Victor
author_sort Joseph, Roshan
collection PubMed
description The acoustic emission (AE) method is a very popular and well-developed method for passive structural health monitoring of metallic and composite structures. AE method has been efficiently used for damage source detection and damage characterization in a large variety of structures over the years, such as thin sheet metals. Piezoelectric wafer active sensors (PWASs) are lightweight and inexpensive transducers, which recently drew the attention of the AE research community for AE sensing. The focus of this paper is on understanding the fatigue crack growth AE signals in thin sheet metals recorded using PWAS sensors on the basis of the Lamb wave theory and using this understanding for predictive modeling of AE signals. After a brief introduction, the paper discusses the principles of sensing acoustic signals by using PWAS. The derivation of a closed-form expression for PWAS response due to a stress wave is presented. The transformations happening to the AE signal according to the instrumentations we used for the fatigue crack AE experiment is also discussed. It is followed by a summary of the in situ AE experiments performed for recording fatigue crack growth AE and the results. Then, we present an analytical model of fatigue crack growth AE and a comparison with experimental results. The fatigue crack growth AE source was modeled analytically using the dipole moment concept. By using the source modeling concept, the analytical predictive modeling and simulation of the AE were performed using normal mode expansion (NME). The simulation results showed good agreement with experimental results. A strong presence of nondispersive S0 Lamb wave mode due to the fatigue crack growth event was observed in the simulation and experiment. Finally, the analytical method was verified using the finite element method. The paper ends with a summary and conclusions; suggestions for further work are also presented.
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spelling pubmed-76026532020-11-01 Analytical and Experimental Study of Fatigue-Crack-Growth AE Signals in Thin Sheet Metals Joseph, Roshan Giurgiutiu, Victor Sensors (Basel) Article The acoustic emission (AE) method is a very popular and well-developed method for passive structural health monitoring of metallic and composite structures. AE method has been efficiently used for damage source detection and damage characterization in a large variety of structures over the years, such as thin sheet metals. Piezoelectric wafer active sensors (PWASs) are lightweight and inexpensive transducers, which recently drew the attention of the AE research community for AE sensing. The focus of this paper is on understanding the fatigue crack growth AE signals in thin sheet metals recorded using PWAS sensors on the basis of the Lamb wave theory and using this understanding for predictive modeling of AE signals. After a brief introduction, the paper discusses the principles of sensing acoustic signals by using PWAS. The derivation of a closed-form expression for PWAS response due to a stress wave is presented. The transformations happening to the AE signal according to the instrumentations we used for the fatigue crack AE experiment is also discussed. It is followed by a summary of the in situ AE experiments performed for recording fatigue crack growth AE and the results. Then, we present an analytical model of fatigue crack growth AE and a comparison with experimental results. The fatigue crack growth AE source was modeled analytically using the dipole moment concept. By using the source modeling concept, the analytical predictive modeling and simulation of the AE were performed using normal mode expansion (NME). The simulation results showed good agreement with experimental results. A strong presence of nondispersive S0 Lamb wave mode due to the fatigue crack growth event was observed in the simulation and experiment. Finally, the analytical method was verified using the finite element method. The paper ends with a summary and conclusions; suggestions for further work are also presented. MDPI 2020-10-15 /pmc/articles/PMC7602653/ /pubmed/33076412 http://dx.doi.org/10.3390/s20205835 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Joseph, Roshan
Giurgiutiu, Victor
Analytical and Experimental Study of Fatigue-Crack-Growth AE Signals in Thin Sheet Metals
title Analytical and Experimental Study of Fatigue-Crack-Growth AE Signals in Thin Sheet Metals
title_full Analytical and Experimental Study of Fatigue-Crack-Growth AE Signals in Thin Sheet Metals
title_fullStr Analytical and Experimental Study of Fatigue-Crack-Growth AE Signals in Thin Sheet Metals
title_full_unstemmed Analytical and Experimental Study of Fatigue-Crack-Growth AE Signals in Thin Sheet Metals
title_short Analytical and Experimental Study of Fatigue-Crack-Growth AE Signals in Thin Sheet Metals
title_sort analytical and experimental study of fatigue-crack-growth ae signals in thin sheet metals
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7602653/
https://www.ncbi.nlm.nih.gov/pubmed/33076412
http://dx.doi.org/10.3390/s20205835
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AT giurgiutiuvictor analyticalandexperimentalstudyoffatiguecrackgrowthaesignalsinthinsheetmetals