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Simple and fast damage identification on 6061 aluminium based on mode shape curvature

This paper presents a simple and fast approach for the identification of damage to isotropic steel structures. The main contribution of this work is a simplified approach using cubic polynomial regression, unlike previously developed damage identification models that use two specimens. This was achi...

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Main Authors: M. A., Amiruddin, N. L., Jenat, M. H. C., Man, M. A., Irfan, N. A., Hambali, N., Fawazi, A. S., Nor Halim
Format: Article
Language:English
Published: Taylor's University 2022
Subjects:
T Technology (General)
Online Access:http://eprints.utm.my/103129/1/MHCMan2022_SimpleandFastDamageIdentification.pdf
http://eprints.utm.my/103129/
https://jestec.taylors.edu.my/Vol%2017%20Issue%202%20April%20%202022/17_2_16.pdf
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spelling my.utm.1031292023-10-17T01:01:23Z http://eprints.utm.my/103129/ Simple and fast damage identification on 6061 aluminium based on mode shape curvature M. A., Amiruddin N. L., Jenat M. H. C., Man M. A., Irfan N. A., Hambali N., Fawazi A. S., Nor Halim T Technology (General) This paper presents a simple and fast approach for the identification of damage to isotropic steel structures. The main contribution of this work is a simplified approach using cubic polynomial regression, unlike previously developed damage identification models that use two specimens. This was achieved by differentiating the mode shape displacement from the mode shape curvature using a central finite difference equation to determine the damaged curve, and subsequently, computing the undamaged curve using a Cubic Polynomial Regression (CPR) model. To validate the accuracy of the model, five specimens with different types of damage (single and double notch) at various depths were simulated. The performance of the model was evaluated against the experimental modal test results. It was found that the presented model was capable of detecting the type of damage (whether single or double notch) in a 6061 Aluminium beam structure. However, when compared to the experimental results, the average difference could reach up to 17% due to external factors. In particular, the performance of the presented model in detecting the location of the damage was inaccurate and imprecise for both the FEA simulation and experimental cases. The CPR model is useful for operators and engineers who require a simple and fast approach to detect damage, but, in terms of accuracy, different techniques must be considered, especially those that are capable of removing and clearing out noise signals. Taylor's University 2022 Article PeerReviewed application/pdf en http://eprints.utm.my/103129/1/MHCMan2022_SimpleandFastDamageIdentification.pdf M. A., Amiruddin and N. L., Jenat and M. H. C., Man and M. A., Irfan and N. A., Hambali and N., Fawazi and A. S., Nor Halim (2022) Simple and fast damage identification on 6061 aluminium based on mode shape curvature. Journal of Engineering Science and Technology, 17 (2). pp. 1036-1050. ISSN 1823-4690 https://jestec.taylors.edu.my/Vol%2017%20Issue%202%20April%20%202022/17_2_16.pdf
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic T Technology (General)
spellingShingle T Technology (General)
M. A., Amiruddin
N. L., Jenat
M. H. C., Man
M. A., Irfan
N. A., Hambali
N., Fawazi
A. S., Nor Halim
Simple and fast damage identification on 6061 aluminium based on mode shape curvature
description This paper presents a simple and fast approach for the identification of damage to isotropic steel structures. The main contribution of this work is a simplified approach using cubic polynomial regression, unlike previously developed damage identification models that use two specimens. This was achieved by differentiating the mode shape displacement from the mode shape curvature using a central finite difference equation to determine the damaged curve, and subsequently, computing the undamaged curve using a Cubic Polynomial Regression (CPR) model. To validate the accuracy of the model, five specimens with different types of damage (single and double notch) at various depths were simulated. The performance of the model was evaluated against the experimental modal test results. It was found that the presented model was capable of detecting the type of damage (whether single or double notch) in a 6061 Aluminium beam structure. However, when compared to the experimental results, the average difference could reach up to 17% due to external factors. In particular, the performance of the presented model in detecting the location of the damage was inaccurate and imprecise for both the FEA simulation and experimental cases. The CPR model is useful for operators and engineers who require a simple and fast approach to detect damage, but, in terms of accuracy, different techniques must be considered, especially those that are capable of removing and clearing out noise signals.
format Article
author M. A., Amiruddin
N. L., Jenat
M. H. C., Man
M. A., Irfan
N. A., Hambali
N., Fawazi
A. S., Nor Halim
author_facet M. A., Amiruddin
N. L., Jenat
M. H. C., Man
M. A., Irfan
N. A., Hambali
N., Fawazi
A. S., Nor Halim
author_sort M. A., Amiruddin
title Simple and fast damage identification on 6061 aluminium based on mode shape curvature
title_short Simple and fast damage identification on 6061 aluminium based on mode shape curvature
title_full Simple and fast damage identification on 6061 aluminium based on mode shape curvature
title_fullStr Simple and fast damage identification on 6061 aluminium based on mode shape curvature
title_full_unstemmed Simple and fast damage identification on 6061 aluminium based on mode shape curvature
title_sort simple and fast damage identification on 6061 aluminium based on mode shape curvature
publisher Taylor's University
publishDate 2022
url http://eprints.utm.my/103129/1/MHCMan2022_SimpleandFastDamageIdentification.pdf
http://eprints.utm.my/103129/
https://jestec.taylors.edu.my/Vol%2017%20Issue%202%20April%20%202022/17_2_16.pdf
_version_ 1781777650009767936
score 13.211869

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