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Enhanced flexural wave sensing by adaptive gradient-index metamaterials
Increasing sensitivity and signal to noise ratios of conventional wave sensors is an interesting topic in structural health monitoring, medical imaging, aerospace and nuclear instrumentation. Here, we report the concept of a gradient piezoelectric self-sensing system by integrating shunting circuitr...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5066180/ https://www.ncbi.nlm.nih.gov/pubmed/27748379 http://dx.doi.org/10.1038/srep35048 |
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author | Chen, Y. Y. Zhu, R. Barnhart, M. V. Huang, G. L. |
author_facet | Chen, Y. Y. Zhu, R. Barnhart, M. V. Huang, G. L. |
author_sort | Chen, Y. Y. |
collection | PubMed |
description | Increasing sensitivity and signal to noise ratios of conventional wave sensors is an interesting topic in structural health monitoring, medical imaging, aerospace and nuclear instrumentation. Here, we report the concept of a gradient piezoelectric self-sensing system by integrating shunting circuitry into conventional sensors. By tuning circuit elements properly, both the quality and quantity of the flexural wave measurement data can be significantly increased for new adaptive sensing applications. Through analytical, numerical and experimental studies, we demonstrate that a metamaterial-based sensing system (MBSS) with gradient bending stiffness can be designed by connecting gradient negative capacitance circuits to an array of piezoelectric patches (sensors). Furthermore, we demonstrate that the proposed system can achieve more than two orders of magnitude amplification of flexural wave signals to overcome the detection limit. This research encompasses fundamental advancements in the MBSS with improved performance and functionalities, and will yield significant advances for a range of applications. |
format | Online Article Text |
id | pubmed-5066180 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-50661802016-10-26 Enhanced flexural wave sensing by adaptive gradient-index metamaterials Chen, Y. Y. Zhu, R. Barnhart, M. V. Huang, G. L. Sci Rep Article Increasing sensitivity and signal to noise ratios of conventional wave sensors is an interesting topic in structural health monitoring, medical imaging, aerospace and nuclear instrumentation. Here, we report the concept of a gradient piezoelectric self-sensing system by integrating shunting circuitry into conventional sensors. By tuning circuit elements properly, both the quality and quantity of the flexural wave measurement data can be significantly increased for new adaptive sensing applications. Through analytical, numerical and experimental studies, we demonstrate that a metamaterial-based sensing system (MBSS) with gradient bending stiffness can be designed by connecting gradient negative capacitance circuits to an array of piezoelectric patches (sensors). Furthermore, we demonstrate that the proposed system can achieve more than two orders of magnitude amplification of flexural wave signals to overcome the detection limit. This research encompasses fundamental advancements in the MBSS with improved performance and functionalities, and will yield significant advances for a range of applications. Nature Publishing Group 2016-10-17 /pmc/articles/PMC5066180/ /pubmed/27748379 http://dx.doi.org/10.1038/srep35048 Text en Copyright © 2016, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Chen, Y. Y. Zhu, R. Barnhart, M. V. Huang, G. L. Enhanced flexural wave sensing by adaptive gradient-index metamaterials |
title | Enhanced flexural wave sensing by adaptive gradient-index metamaterials |
title_full | Enhanced flexural wave sensing by adaptive gradient-index metamaterials |
title_fullStr | Enhanced flexural wave sensing by adaptive gradient-index metamaterials |
title_full_unstemmed | Enhanced flexural wave sensing by adaptive gradient-index metamaterials |
title_short | Enhanced flexural wave sensing by adaptive gradient-index metamaterials |
title_sort | enhanced flexural wave sensing by adaptive gradient-index metamaterials |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5066180/ https://www.ncbi.nlm.nih.gov/pubmed/27748379 http://dx.doi.org/10.1038/srep35048 |
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