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Next-generation 2D optical strain mapping with strain-sensing smart skin compared to digital image correlation
This study reports next generation optical strain measurement with “strain-sensing smart skin” (S(4)) and a comparison of its performance against the established digital image correlation (DIC) method. S(4) measures strain-induced shifts in the emission wavelengths of single-wall carbon nanotubes em...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9250928/ https://www.ncbi.nlm.nih.gov/pubmed/35781288 http://dx.doi.org/10.1038/s41598-022-15332-1 |
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author | Meng, Wei Pal, Ashish Bachilo, Sergei M. Weisman, R. Bruce Nagarajaiah, Satish |
author_facet | Meng, Wei Pal, Ashish Bachilo, Sergei M. Weisman, R. Bruce Nagarajaiah, Satish |
author_sort | Meng, Wei |
collection | PubMed |
description | This study reports next generation optical strain measurement with “strain-sensing smart skin” (S(4)) and a comparison of its performance against the established digital image correlation (DIC) method. S(4) measures strain-induced shifts in the emission wavelengths of single-wall carbon nanotubes embedded in a thin film on the specimen. The new S(4) film improves spectral uniformity of the nanotube sensors, avoids the need for annealing at elevated temperatures, and allows for parallel DIC measurements. Noncontact strain maps measured with the S(4) films and point-wise scanning were directly compared to those from DIC on acrylic, concrete, and aluminum test specimens, including one with subsurface damage. Strain features were more clearly revealed with S(4) than with DIC. Finite element method simulations also showed closer agreement with S(4) than with DIC results. These findings highlight the potential of S(4) strain measurement technology as a promising alternative or complement to existing technologies, especially when accumulated strains must be detected in structures that are not under constant observation. |
format | Online Article Text |
id | pubmed-9250928 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-92509282022-07-05 Next-generation 2D optical strain mapping with strain-sensing smart skin compared to digital image correlation Meng, Wei Pal, Ashish Bachilo, Sergei M. Weisman, R. Bruce Nagarajaiah, Satish Sci Rep Article This study reports next generation optical strain measurement with “strain-sensing smart skin” (S(4)) and a comparison of its performance against the established digital image correlation (DIC) method. S(4) measures strain-induced shifts in the emission wavelengths of single-wall carbon nanotubes embedded in a thin film on the specimen. The new S(4) film improves spectral uniformity of the nanotube sensors, avoids the need for annealing at elevated temperatures, and allows for parallel DIC measurements. Noncontact strain maps measured with the S(4) films and point-wise scanning were directly compared to those from DIC on acrylic, concrete, and aluminum test specimens, including one with subsurface damage. Strain features were more clearly revealed with S(4) than with DIC. Finite element method simulations also showed closer agreement with S(4) than with DIC results. These findings highlight the potential of S(4) strain measurement technology as a promising alternative or complement to existing technologies, especially when accumulated strains must be detected in structures that are not under constant observation. Nature Publishing Group UK 2022-07-03 /pmc/articles/PMC9250928/ /pubmed/35781288 http://dx.doi.org/10.1038/s41598-022-15332-1 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Meng, Wei Pal, Ashish Bachilo, Sergei M. Weisman, R. Bruce Nagarajaiah, Satish Next-generation 2D optical strain mapping with strain-sensing smart skin compared to digital image correlation |
title | Next-generation 2D optical strain mapping with strain-sensing smart skin compared to digital image correlation |
title_full | Next-generation 2D optical strain mapping with strain-sensing smart skin compared to digital image correlation |
title_fullStr | Next-generation 2D optical strain mapping with strain-sensing smart skin compared to digital image correlation |
title_full_unstemmed | Next-generation 2D optical strain mapping with strain-sensing smart skin compared to digital image correlation |
title_short | Next-generation 2D optical strain mapping with strain-sensing smart skin compared to digital image correlation |
title_sort | next-generation 2d optical strain mapping with strain-sensing smart skin compared to digital image correlation |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9250928/ https://www.ncbi.nlm.nih.gov/pubmed/35781288 http://dx.doi.org/10.1038/s41598-022-15332-1 |
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