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Impact Localisation in Composite Plates of Different Stiffness Impactors under Simulated Environmental and Operational Conditions
A parametric investigation of the effect of impactor stiffness as well as environmental and operational conditions on impact contact behaviour and the subsequently generated lamb waves in composite structures is presented. It is shown that differing impactor stiffness generates the most significant...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6749464/ https://www.ncbi.nlm.nih.gov/pubmed/31443522 http://dx.doi.org/10.3390/s19173659 |
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author | Seno, Aldyandra Hami Aliabadi, M.H. Ferri |
author_facet | Seno, Aldyandra Hami Aliabadi, M.H. Ferri |
author_sort | Seno, Aldyandra Hami |
collection | PubMed |
description | A parametric investigation of the effect of impactor stiffness as well as environmental and operational conditions on impact contact behaviour and the subsequently generated lamb waves in composite structures is presented. It is shown that differing impactor stiffness generates the most significant changes in contact area and lamb wave characteristics (waveform, frequency, and amplitude). A novel impact localisation method was developed based on the above observations that allows for variations due to differences in impactor stiffness based on modifications of the reference database method and the Akaike Information Criterion (AIC) time of arrival (ToA) picker. The proposed method was compared against a benchmark method based on artificial neural networks (ANNS) and the normalised smoothed envelope threshold (NSET) ToA extraction method. The results indicate that the proposed method had comparable accuracy to the benchmark method for hard impacts under various environmental and operational conditions when trained only using a single hard impact case. However, when tested with soft impacts, the benchmark method had very low accuracy, whilst the proposed method was able to maintain its accuracy at an acceptable level. Thus, the proposed method is capable of detecting the location of impacts of varying stiffness under various environmental and operational conditions using data from only a single impact case, which brings it closer to the application of data driven impact detection systems in real life structures. |
format | Online Article Text |
id | pubmed-6749464 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-67494642019-09-27 Impact Localisation in Composite Plates of Different Stiffness Impactors under Simulated Environmental and Operational Conditions Seno, Aldyandra Hami Aliabadi, M.H. Ferri Sensors (Basel) Article A parametric investigation of the effect of impactor stiffness as well as environmental and operational conditions on impact contact behaviour and the subsequently generated lamb waves in composite structures is presented. It is shown that differing impactor stiffness generates the most significant changes in contact area and lamb wave characteristics (waveform, frequency, and amplitude). A novel impact localisation method was developed based on the above observations that allows for variations due to differences in impactor stiffness based on modifications of the reference database method and the Akaike Information Criterion (AIC) time of arrival (ToA) picker. The proposed method was compared against a benchmark method based on artificial neural networks (ANNS) and the normalised smoothed envelope threshold (NSET) ToA extraction method. The results indicate that the proposed method had comparable accuracy to the benchmark method for hard impacts under various environmental and operational conditions when trained only using a single hard impact case. However, when tested with soft impacts, the benchmark method had very low accuracy, whilst the proposed method was able to maintain its accuracy at an acceptable level. Thus, the proposed method is capable of detecting the location of impacts of varying stiffness under various environmental and operational conditions using data from only a single impact case, which brings it closer to the application of data driven impact detection systems in real life structures. MDPI 2019-08-22 /pmc/articles/PMC6749464/ /pubmed/31443522 http://dx.doi.org/10.3390/s19173659 Text en © 2019 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 Seno, Aldyandra Hami Aliabadi, M.H. Ferri Impact Localisation in Composite Plates of Different Stiffness Impactors under Simulated Environmental and Operational Conditions |
title | Impact Localisation in Composite Plates of Different Stiffness Impactors under Simulated Environmental and Operational Conditions |
title_full | Impact Localisation in Composite Plates of Different Stiffness Impactors under Simulated Environmental and Operational Conditions |
title_fullStr | Impact Localisation in Composite Plates of Different Stiffness Impactors under Simulated Environmental and Operational Conditions |
title_full_unstemmed | Impact Localisation in Composite Plates of Different Stiffness Impactors under Simulated Environmental and Operational Conditions |
title_short | Impact Localisation in Composite Plates of Different Stiffness Impactors under Simulated Environmental and Operational Conditions |
title_sort | impact localisation in composite plates of different stiffness impactors under simulated environmental and operational conditions |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6749464/ https://www.ncbi.nlm.nih.gov/pubmed/31443522 http://dx.doi.org/10.3390/s19173659 |
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