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Combined Use of Modal Analysis and Machine Learning for Materials Classification
The present study deals with modal work that is a type of framework for structural dynamic testing of linear structures. Modal analysis is a powerful tool that works on the modal parameters to ensure the safety of materials and eliminate the failure possibilities. The concept of classification throu...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8348414/ https://www.ncbi.nlm.nih.gov/pubmed/34361464 http://dx.doi.org/10.3390/ma14154270 |
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author | Abdelkader, Mohamed Noman, Muhammad Tayyab Amor, Nesrine Petru, Michal Mahmood, Aamir |
author_facet | Abdelkader, Mohamed Noman, Muhammad Tayyab Amor, Nesrine Petru, Michal Mahmood, Aamir |
author_sort | Abdelkader, Mohamed |
collection | PubMed |
description | The present study deals with modal work that is a type of framework for structural dynamic testing of linear structures. Modal analysis is a powerful tool that works on the modal parameters to ensure the safety of materials and eliminate the failure possibilities. The concept of classification through this study is validated for isotropic and orthotropic materials, reaching up to a 100% accuracy when deploying the machine learning approach between the mode number and the associated frequency of the interrelated variables that were extracted from modal analysis performed by ANSYS. This study shows a new classification method dependent only on the knowledge of resonance frequency of a specific material and opens new directions for future developments to create a single device that can identify and classify different engineering materials. |
format | Online Article Text |
id | pubmed-8348414 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-83484142021-08-08 Combined Use of Modal Analysis and Machine Learning for Materials Classification Abdelkader, Mohamed Noman, Muhammad Tayyab Amor, Nesrine Petru, Michal Mahmood, Aamir Materials (Basel) Article The present study deals with modal work that is a type of framework for structural dynamic testing of linear structures. Modal analysis is a powerful tool that works on the modal parameters to ensure the safety of materials and eliminate the failure possibilities. The concept of classification through this study is validated for isotropic and orthotropic materials, reaching up to a 100% accuracy when deploying the machine learning approach between the mode number and the associated frequency of the interrelated variables that were extracted from modal analysis performed by ANSYS. This study shows a new classification method dependent only on the knowledge of resonance frequency of a specific material and opens new directions for future developments to create a single device that can identify and classify different engineering materials. MDPI 2021-07-30 /pmc/articles/PMC8348414/ /pubmed/34361464 http://dx.doi.org/10.3390/ma14154270 Text en © 2021 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 Abdelkader, Mohamed Noman, Muhammad Tayyab Amor, Nesrine Petru, Michal Mahmood, Aamir Combined Use of Modal Analysis and Machine Learning for Materials Classification |
title | Combined Use of Modal Analysis and Machine Learning for Materials Classification |
title_full | Combined Use of Modal Analysis and Machine Learning for Materials Classification |
title_fullStr | Combined Use of Modal Analysis and Machine Learning for Materials Classification |
title_full_unstemmed | Combined Use of Modal Analysis and Machine Learning for Materials Classification |
title_short | Combined Use of Modal Analysis and Machine Learning for Materials Classification |
title_sort | combined use of modal analysis and machine learning for materials classification |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8348414/ https://www.ncbi.nlm.nih.gov/pubmed/34361464 http://dx.doi.org/10.3390/ma14154270 |
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