Shearography-Wavelet-Based Damage Detection Methodology for Aluminum Beams
In this paper, aluminum beams in undamaged status and with single and double damage scenarios as slots with the ratio of the slot depth to the beam thickness of 7% and 28% were constructed at the University of Lisbon, Portugal. Then, with the help of the shrearography method, the modal rotations of...
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Semnan University
2023-11-01
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| Series: | Journal of Rehabilitation in Civil Engineering |
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| Online Access: | https://civiljournal.semnan.ac.ir/article_7539_d8fc130d05dc7ac3c2c0e0ff88c59835.pdf |
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| author | Amirhossein Abbasi Mohsen Khatibinia Hashem Jahangir José Viriato Araújo Dos Santos Hernani Miguel Reis Lopes |
| author_facet | Amirhossein Abbasi Mohsen Khatibinia Hashem Jahangir José Viriato Araújo Dos Santos Hernani Miguel Reis Lopes |
| author_sort | Amirhossein Abbasi |
| collection | DOAJ |
| description | In this paper, aluminum beams in undamaged status and with single and double damage scenarios as slots with the ratio of the slot depth to the beam thickness of 7% and 28% were constructed at the University of Lisbon, Portugal. Then, with the help of the shrearography method, the modal rotations of each beam were calculated for the first to third vibration mode shapes. By deriving the modal rotations, the modal strains were obtained and introduced as the input of 22 different families of 2D wavelet transforms with three different scales 1, 7, and 15. Utilizing the wavelet coefficients as damage indices, the results showed that the sensitivity of modal curvatures is higher than other modal data for identifying the location of damages. In addition, among scales 1, 7, and 15, considering scale 7 for wavelet families provides more suitable results. On the other hand, the sinc and isodog wavelet families showed a better ability to reveal the damage location than other wavelets. Investigating the ratio of the maximum value of the wavelet coefficients in the middle part of the beams to the maximum value of the wavelet coefficients in the boundaries showed that among the two selected wavelets, sinc and isodog, the sinc wavelet is more sensitive than the isodog wavelet in identifying damages with obtained results of 0.81, 7.81 and 27.10 for first, second and third damage scenarios, respectively. And therefore, it can be considered the best wavelet for detecting artificial damage in the tested aluminum beams. |
| format | Article |
| id | doaj-art-aa7a969737db4bd48ef74182023affce |
| institution | Kabale University |
| issn | 2345-4415 2345-4423 |
| language | English |
| publishDate | 2023-11-01 |
| publisher | Semnan University |
| record_format | Article |
| series | Journal of Rehabilitation in Civil Engineering |
| spelling | doaj-art-aa7a969737db4bd48ef74182023affce2025-01-21T20:47:15ZengSemnan UniversityJournal of Rehabilitation in Civil Engineering2345-44152345-44232023-11-01114224310.22075/jrce.2023.29435.17807539Shearography-Wavelet-Based Damage Detection Methodology for Aluminum BeamsAmirhossein Abbasi0Mohsen Khatibinia1Hashem Jahangir2José Viriato Araújo Dos Santos3Hernani Miguel Reis Lopes4M.Sc. Student, Civil Engineering Department, University of Birjand, Birjand, IranAssociate Professor, Department of Civil Engineering, University of Birjand, Birjand, IranAssistant Professor, Department of Civil Engineering, University of Birjand, Birjand, IranProfessor of Mechanical Engineering, University of Lisbon, Instituto Superior Tecnico, Lisbon, PortugalAssistant Professor, Department of Mechanical Engineering, DEM-ISEP, Instituto Politécnico do Porto, Porto, PortugalIn this paper, aluminum beams in undamaged status and with single and double damage scenarios as slots with the ratio of the slot depth to the beam thickness of 7% and 28% were constructed at the University of Lisbon, Portugal. Then, with the help of the shrearography method, the modal rotations of each beam were calculated for the first to third vibration mode shapes. By deriving the modal rotations, the modal strains were obtained and introduced as the input of 22 different families of 2D wavelet transforms with three different scales 1, 7, and 15. Utilizing the wavelet coefficients as damage indices, the results showed that the sensitivity of modal curvatures is higher than other modal data for identifying the location of damages. In addition, among scales 1, 7, and 15, considering scale 7 for wavelet families provides more suitable results. On the other hand, the sinc and isodog wavelet families showed a better ability to reveal the damage location than other wavelets. Investigating the ratio of the maximum value of the wavelet coefficients in the middle part of the beams to the maximum value of the wavelet coefficients in the boundaries showed that among the two selected wavelets, sinc and isodog, the sinc wavelet is more sensitive than the isodog wavelet in identifying damages with obtained results of 0.81, 7.81 and 27.10 for first, second and third damage scenarios, respectively. And therefore, it can be considered the best wavelet for detecting artificial damage in the tested aluminum beams.https://civiljournal.semnan.ac.ir/article_7539_d8fc130d05dc7ac3c2c0e0ff88c59835.pdfshearography methodwavelet transformmodal rotationmodal curvaturealuminum beam |
| spellingShingle | Amirhossein Abbasi Mohsen Khatibinia Hashem Jahangir José Viriato Araújo Dos Santos Hernani Miguel Reis Lopes Shearography-Wavelet-Based Damage Detection Methodology for Aluminum Beams Journal of Rehabilitation in Civil Engineering shearography method wavelet transform modal rotation modal curvature aluminum beam |
| title | Shearography-Wavelet-Based Damage Detection Methodology for Aluminum Beams |
| title_full | Shearography-Wavelet-Based Damage Detection Methodology for Aluminum Beams |
| title_fullStr | Shearography-Wavelet-Based Damage Detection Methodology for Aluminum Beams |
| title_full_unstemmed | Shearography-Wavelet-Based Damage Detection Methodology for Aluminum Beams |
| title_short | Shearography-Wavelet-Based Damage Detection Methodology for Aluminum Beams |
| title_sort | shearography wavelet based damage detection methodology for aluminum beams |
| topic | shearography method wavelet transform modal rotation modal curvature aluminum beam |
| url | https://civiljournal.semnan.ac.ir/article_7539_d8fc130d05dc7ac3c2c0e0ff88c59835.pdf |
| work_keys_str_mv | AT amirhosseinabbasi shearographywaveletbaseddamagedetectionmethodologyforaluminumbeams AT mohsenkhatibinia shearographywaveletbaseddamagedetectionmethodologyforaluminumbeams AT hashemjahangir shearographywaveletbaseddamagedetectionmethodologyforaluminumbeams AT joseviriatoaraujodossantos shearographywaveletbaseddamagedetectionmethodologyforaluminumbeams AT hernanimiguelreislopes shearographywaveletbaseddamagedetectionmethodologyforaluminumbeams |