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Digital Image Correlation Compatible Mechanoluminescent Skin for Structural Health Monitoring (Adv. Sci. 11/2022)
Structural Health Monitoring The compatibility of mechanoluminescent (ML) skin with the digital image correlation (DIC) algorithm under UV exposure is leveraged to quantify the ML effects in terms of effective strain. The calibration can be executed using the same photographic image. Interestingly,...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9008413/ http://dx.doi.org/10.1002/advs.202270069 |
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author | Shin, Ho Geun Timilsina, Suman Sohn, Kee‐Sun Kim, Ji Sik |
author_facet | Shin, Ho Geun Timilsina, Suman Sohn, Kee‐Sun Kim, Ji Sik |
author_sort | Shin, Ho Geun |
collection | PubMed |
description | Structural Health Monitoring The compatibility of mechanoluminescent (ML) skin with the digital image correlation (DIC) algorithm under UV exposure is leveraged to quantify the ML effects in terms of effective strain. The calibration can be executed using the same photographic image. Interestingly, a linear correlation exists despite the plastic flow in ML skin. The quantification extends the ML application from visualizing strain concentration zones to quantitative measurement. More details can be found in article number 2105889 by Suman Timilsina, Ji Sik Kim, and co‐workers. [Image: see text] |
format | Online Article Text |
id | pubmed-9008413 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-90084132022-04-15 Digital Image Correlation Compatible Mechanoluminescent Skin for Structural Health Monitoring (Adv. Sci. 11/2022) Shin, Ho Geun Timilsina, Suman Sohn, Kee‐Sun Kim, Ji Sik Adv Sci (Weinh) Frontispiece Structural Health Monitoring The compatibility of mechanoluminescent (ML) skin with the digital image correlation (DIC) algorithm under UV exposure is leveraged to quantify the ML effects in terms of effective strain. The calibration can be executed using the same photographic image. Interestingly, a linear correlation exists despite the plastic flow in ML skin. The quantification extends the ML application from visualizing strain concentration zones to quantitative measurement. More details can be found in article number 2105889 by Suman Timilsina, Ji Sik Kim, and co‐workers. [Image: see text] John Wiley and Sons Inc. 2022-04-14 /pmc/articles/PMC9008413/ http://dx.doi.org/10.1002/advs.202270069 Text en © 2022 Wiley‐VCH GmbH https://creativecommons.org/licenses/by-nc/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes. |
spellingShingle | Frontispiece Shin, Ho Geun Timilsina, Suman Sohn, Kee‐Sun Kim, Ji Sik Digital Image Correlation Compatible Mechanoluminescent Skin for Structural Health Monitoring (Adv. Sci. 11/2022) |
title | Digital Image Correlation Compatible Mechanoluminescent Skin for Structural Health Monitoring (Adv. Sci. 11/2022) |
title_full | Digital Image Correlation Compatible Mechanoluminescent Skin for Structural Health Monitoring (Adv. Sci. 11/2022) |
title_fullStr | Digital Image Correlation Compatible Mechanoluminescent Skin for Structural Health Monitoring (Adv. Sci. 11/2022) |
title_full_unstemmed | Digital Image Correlation Compatible Mechanoluminescent Skin for Structural Health Monitoring (Adv. Sci. 11/2022) |
title_short | Digital Image Correlation Compatible Mechanoluminescent Skin for Structural Health Monitoring (Adv. Sci. 11/2022) |
title_sort | digital image correlation compatible mechanoluminescent skin for structural health monitoring (adv. sci. 11/2022) |
topic | Frontispiece |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9008413/ http://dx.doi.org/10.1002/advs.202270069 |
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