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Modal Analysis Using Digital Image Correlation Technique
The present paper discusses a new approach for the experimental determination of modal parameters (resonant frequencies, modal shapes and damping coefficients) based on measured displacement values, using the non-contact optical method of digital image correlation (DIC). The output is a newly develo...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9416569/ https://www.ncbi.nlm.nih.gov/pubmed/36013796 http://dx.doi.org/10.3390/ma15165658 |
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author | Frankovský, Peter Delyová, Ingrid Sivák, Peter Bocko, Jozef Živčák, Jozef Kicko, Michal |
author_facet | Frankovský, Peter Delyová, Ingrid Sivák, Peter Bocko, Jozef Živčák, Jozef Kicko, Michal |
author_sort | Frankovský, Peter |
collection | PubMed |
description | The present paper discusses a new approach for the experimental determination of modal parameters (resonant frequencies, modal shapes and damping coefficients) based on measured displacement values, using the non-contact optical method of digital image correlation (DIC). The output is a newly developed application module that, based on a three-dimensional displacement matrix from the experimental measurement results, can construct a frequency response function (FRF) for the purpose of experimental and operational modal analysis. From this frequency response function, the modal parameters of interest are able to be determined. The application module has been designed for practical use in Scilab 6.1.0, and its code interfaces directly with the ISTRA4D high-speed camera software. The module was built on measurements of a steel plate excited by an impact hammer to simulate experimental modal analysis. Verification of the correctness of the computational algorithm or the obtained modal parameters of the excited sheet metal plate was performed by simulation in the numerical software Abaqus, whose modal shapes and resonant frequencies showed high agreement with the results of the newly developed application. |
format | Online Article Text |
id | pubmed-9416569 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-94165692022-08-27 Modal Analysis Using Digital Image Correlation Technique Frankovský, Peter Delyová, Ingrid Sivák, Peter Bocko, Jozef Živčák, Jozef Kicko, Michal Materials (Basel) Article The present paper discusses a new approach for the experimental determination of modal parameters (resonant frequencies, modal shapes and damping coefficients) based on measured displacement values, using the non-contact optical method of digital image correlation (DIC). The output is a newly developed application module that, based on a three-dimensional displacement matrix from the experimental measurement results, can construct a frequency response function (FRF) for the purpose of experimental and operational modal analysis. From this frequency response function, the modal parameters of interest are able to be determined. The application module has been designed for practical use in Scilab 6.1.0, and its code interfaces directly with the ISTRA4D high-speed camera software. The module was built on measurements of a steel plate excited by an impact hammer to simulate experimental modal analysis. Verification of the correctness of the computational algorithm or the obtained modal parameters of the excited sheet metal plate was performed by simulation in the numerical software Abaqus, whose modal shapes and resonant frequencies showed high agreement with the results of the newly developed application. MDPI 2022-08-17 /pmc/articles/PMC9416569/ /pubmed/36013796 http://dx.doi.org/10.3390/ma15165658 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Frankovský, Peter Delyová, Ingrid Sivák, Peter Bocko, Jozef Živčák, Jozef Kicko, Michal Modal Analysis Using Digital Image Correlation Technique |
title | Modal Analysis Using Digital Image Correlation Technique |
title_full | Modal Analysis Using Digital Image Correlation Technique |
title_fullStr | Modal Analysis Using Digital Image Correlation Technique |
title_full_unstemmed | Modal Analysis Using Digital Image Correlation Technique |
title_short | Modal Analysis Using Digital Image Correlation Technique |
title_sort | modal analysis using digital image correlation technique |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9416569/ https://www.ncbi.nlm.nih.gov/pubmed/36013796 http://dx.doi.org/10.3390/ma15165658 |
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