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...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Sage Publications
2016
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| Online Access: | http://psasir.upm.edu.my/id/eprint/53911/ http://psasir.upm.edu.my/id/eprint/53911/1/Structural%20health%20monitoring%20and%20damage%20identification%20for%20composite%20panels%20using%20smart%20sensor%20.pdf |
| _version_ | 1848852409087950848 |
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| author | Al-Adnani, Nisreen N. Ali Mustapha, Faizal Salit, Mohd Sapuan Muhammad Rashid, Raizal Saifulnaz |
| author_facet | Al-Adnani, Nisreen N. Ali Mustapha, Faizal Salit, Mohd Sapuan Muhammad Rashid, Raizal Saifulnaz |
| author_sort | Al-Adnani, Nisreen N. Ali |
| building | UPM Institutional Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-15T10:37:37Z |
| format | Article |
| id | upm-53911 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T10:37:37Z |
| publishDate | 2016 |
| publisher | Sage Publications |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-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 |
| 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 |
| title | 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_short | 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 |
| url | http://psasir.upm.edu.my/id/eprint/53911/ http://psasir.upm.edu.my/id/eprint/53911/ http://psasir.upm.edu.my/id/eprint/53911/ http://psasir.upm.edu.my/id/eprint/53911/1/Structural%20health%20monitoring%20and%20damage%20identification%20for%20composite%20panels%20using%20smart%20sensor%20.pdf |