Structural health monitoring and damage identification for composite panels using smart sensor

Real-time monitoring of structural integrity is an important challenge. This article presents the results of damage detection in real time for two materials: Al 6061-T6 and twill weave carbon fibre-reinforced epoxy composite. The natural frequency as a global dynamic technique was adopted and the st...

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Main Authors: Al-Adnani, Nisreen N. Ali, Mustapha, Faizal, Salit, Mohd Sapuan, Muhammad Rashid, Raizal Saifulnaz
Format: Article
Language:English
Published: Sage Publications 2016
Online Access:http://psasir.upm.edu.my/id/eprint/53911/1/Structural%20health%20monitoring%20and%20damage%20identification%20for%20composite%20panels%20using%20smart%20sensor%20.pdf
http://psasir.upm.edu.my/id/eprint/53911/
http://journals.sagepub.com/doi/abs/10.1177/1045389X16629553
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Institution: Universiti Putra Malaysia
Language: English
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spelling my.upm.eprints.539112018-10-31T02:05:13Z http://psasir.upm.edu.my/id/eprint/53911/ Structural health monitoring and damage identification for composite panels using smart sensor Al-Adnani, Nisreen N. Ali Mustapha, Faizal Salit, Mohd Sapuan Muhammad Rashid, Raizal Saifulnaz Real-time monitoring of structural integrity is an important challenge. This article presents the results of damage detection in real time for two materials: Al 6061-T6 and twill weave carbon fibre-reinforced epoxy composite. The natural frequency as a global dynamic technique was adopted and the structure was evaluated based on the change in the natural frequency. A square thin plate with simply supported edges was investigated under the effect of sinusoidal signal which was generated via mechanical vibration exciter to carry out the natural frequency of the panel. A smart sensor (piezoelectric ceramic lead zirconate titanate) bonded to the surface of the composite panel was used to capture the signals. Experiments demonstrate the effect of change in crack depth and the response of these panels. The results were measured via monitoring technique and evaluated using root mean square deviation index as statistical analysis. Sage Publications 2016 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/53911/1/Structural%20health%20monitoring%20and%20damage%20identification%20for%20composite%20panels%20using%20smart%20sensor%20.pdf Al-Adnani, Nisreen N. Ali and Mustapha, Faizal and Salit, Mohd Sapuan and Muhammad Rashid, Raizal Saifulnaz (2016) Structural health monitoring and damage identification for composite panels using smart sensor. Journal of Intelligent Material Systems and Structures, 27 (17). pp. 2313-2323. ISSN 1045-389X; ESSN: 1530-8138 http://journals.sagepub.com/doi/abs/10.1177/1045389X16629553 10.1177/1045389X16629553
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description Real-time monitoring of structural integrity is an important challenge. This article presents the results of damage detection in real time for two materials: Al 6061-T6 and twill weave carbon fibre-reinforced epoxy composite. The natural frequency as a global dynamic technique was adopted and the structure was evaluated based on the change in the natural frequency. A square thin plate with simply supported edges was investigated under the effect of sinusoidal signal which was generated via mechanical vibration exciter to carry out the natural frequency of the panel. A smart sensor (piezoelectric ceramic lead zirconate titanate) bonded to the surface of the composite panel was used to capture the signals. Experiments demonstrate the effect of change in crack depth and the response of these panels. The results were measured via monitoring technique and evaluated using root mean square deviation index as statistical analysis.
format Article
author Al-Adnani, Nisreen N. Ali
Mustapha, Faizal
Salit, Mohd Sapuan
Muhammad Rashid, Raizal Saifulnaz
spellingShingle Al-Adnani, Nisreen N. Ali
Mustapha, Faizal
Salit, Mohd Sapuan
Muhammad Rashid, Raizal Saifulnaz
Structural health monitoring and damage identification for composite panels using smart sensor
author_facet Al-Adnani, Nisreen N. Ali
Mustapha, Faizal
Salit, Mohd Sapuan
Muhammad Rashid, Raizal Saifulnaz
author_sort Al-Adnani, Nisreen N. Ali
title Structural health monitoring and damage identification for composite panels using smart sensor
title_short Structural health monitoring and damage identification for composite panels using smart sensor
title_full Structural health monitoring and damage identification for composite panels using smart sensor
title_fullStr Structural health monitoring and damage identification for composite panels using smart sensor
title_full_unstemmed Structural health monitoring and damage identification for composite panels using smart sensor
title_sort structural health monitoring and damage identification for composite panels using smart sensor
publisher Sage Publications
publishDate 2016
url http://psasir.upm.edu.my/id/eprint/53911/1/Structural%20health%20monitoring%20and%20damage%20identification%20for%20composite%20panels%20using%20smart%20sensor%20.pdf
http://psasir.upm.edu.my/id/eprint/53911/
http://journals.sagepub.com/doi/abs/10.1177/1045389X16629553
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