Next-generation 2D optical strain mapping with strain-sensing smart skin compared to digital image correlation
| dc.citation.articleNumber | 11226 | en_US |
| dc.citation.journalTitle | Scientific Reports | en_US |
| dc.citation.volumeNumber | 12 | en_US |
| dc.contributor.author | Meng, Wei | en_US |
| dc.contributor.author | Pal, Ashish | en_US |
| dc.contributor.author | Bachilo, Sergei M. | en_US |
| dc.contributor.author | Weisman, R. Bruce | en_US |
| dc.contributor.author | Nagarajaiah, Satish | en_US |
| dc.date.accessioned | 2022-08-04T14:53:30Z | en_US |
| dc.date.available | 2022-08-04T14:53:30Z | en_US |
| dc.date.issued | 2022 | en_US |
| dc.description.abstract | This study reports next generation optical strain measurement with “strain-sensing smart skin” (S4) and a comparison of its performance against the established digital image correlation (DIC) method. S4 measures strain-induced shifts in the emission wavelengths of single-wall carbon nanotubes embedded in a thin film on the specimen. The new S4 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 S4 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 S4 than with DIC. Finite element method simulations also showed closer agreement with S4 than with DIC results. These findings highlight the potential of S4 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. | en_US |
| dc.identifier.citation | Meng, Wei, Pal, Ashish, Bachilo, Sergei M., et al.. "Next-generation 2D optical strain mapping with strain-sensing smart skin compared to digital image correlation." <i>Scientific Reports,</i> 12, (2022) Springer Nature: https://doi.org/10.1038/s41598-022-15332-1. | en_US |
| dc.identifier.digital | s41598-022-15332-1 | en_US |
| dc.identifier.doi | https://doi.org/10.1038/s41598-022-15332-1 | en_US |
| dc.identifier.uri | https://hdl.handle.net/1911/112988 | en_US |
| dc.language.iso | eng | en_US |
| dc.publisher | Springer Nature | en_US |
| dc.rights | 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. | en_US |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | en_US |
| dc.title | Next-generation 2D optical strain mapping with strain-sensing smart skin compared to digital image correlation | en_US |
| dc.type | Journal article | en_US |
| dc.type.dcmi | Text | en_US |
| dc.type.publication | publisher version | en_US |
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