Crack detection in beams using Hilbert-Huang transform
This study presents a non-destructive method for detecting location and depth of crack in beams. The method utilizes Hilbert-Huang Transform (HHT) as a time-series analysis technique. Crack is considered to be open and has been modeled by rotational spring. First, the natural frequencies of the crac...
| Main Authors: | , |
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| Format: | Article |
| Language: | fas |
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Semnan University
2018-03-01
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| Series: | مجله مدل سازی در مهندسی |
| Subjects: | |
| Online Access: | https://modelling.semnan.ac.ir/article_2912_47857ab10bb5555e7f87b76448f01fb0.pdf |
| _version_ | 1797296635099742208 |
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| author | Mohammad Reza Galeban Shapour Moradi |
| author_facet | Mohammad Reza Galeban Shapour Moradi |
| author_sort | Mohammad Reza Galeban |
| collection | DOAJ |
| description | This study presents a non-destructive method for detecting location and depth of crack in beams. The method utilizes Hilbert-Huang Transform (HHT) as a time-series analysis technique. Crack is considered to be open and has been modeled by rotational spring. First, the natural frequencies of the cracked beam are calculated using Timoshenko’s beam theory. Then by using the vibration signals corresponding to the beam, experimental natural frequencies are calculated by Fast Fourier Transform (FFT) and HHT. Finally, with the help of Artificial Bee Colony, the location and depth of the crack are predicted by minimization of an objective function. The objective function is constructed by the weighted sum of the squared errors between the theoretical and experimental natural frequencies of the cracked beams. To investigate the feasibility of proposed method, cracks in different locations and depths are introduced in steel beams and crack parameters are predicted. The results show that both the location and depth of the crack can be predicted well through the proposed method. Moreover, by using the experimental natural frequencies obtained by HHT method, cracks (especially small depth) can be detected with a better precision than FFT method. |
| first_indexed | 2024-03-07T22:07:37Z |
| format | Article |
| id | doaj.art-da39412705ab4521b38f92af0a08b0e3 |
| institution | Directory Open Access Journal |
| issn | 2008-4854 2783-2538 |
| language | fas |
| last_indexed | 2024-03-07T22:07:37Z |
| publishDate | 2018-03-01 |
| publisher | Semnan University |
| record_format | Article |
| series | مجله مدل سازی در مهندسی |
| spelling | doaj.art-da39412705ab4521b38f92af0a08b0e32024-02-23T19:05:06ZfasSemnan Universityمجله مدل سازی در مهندسی2008-48542783-25382018-03-011652274010.22075/jme.2018.29122912Crack detection in beams using Hilbert-Huang transformMohammad Reza Galeban0Shapour Moradi1دانشگاه شهید جمران اهوازدانشگاه شهید جمران اهوازThis study presents a non-destructive method for detecting location and depth of crack in beams. The method utilizes Hilbert-Huang Transform (HHT) as a time-series analysis technique. Crack is considered to be open and has been modeled by rotational spring. First, the natural frequencies of the cracked beam are calculated using Timoshenko’s beam theory. Then by using the vibration signals corresponding to the beam, experimental natural frequencies are calculated by Fast Fourier Transform (FFT) and HHT. Finally, with the help of Artificial Bee Colony, the location and depth of the crack are predicted by minimization of an objective function. The objective function is constructed by the weighted sum of the squared errors between the theoretical and experimental natural frequencies of the cracked beams. To investigate the feasibility of proposed method, cracks in different locations and depths are introduced in steel beams and crack parameters are predicted. The results show that both the location and depth of the crack can be predicted well through the proposed method. Moreover, by using the experimental natural frequencies obtained by HHT method, cracks (especially small depth) can be detected with a better precision than FFT method.https://modelling.semnan.ac.ir/article_2912_47857ab10bb5555e7f87b76448f01fb0.pdfcrack detectionhilbert-huang transformfast fourier transformtimoshenko’s beam theoryartificial bee colony |
| spellingShingle | Mohammad Reza Galeban Shapour Moradi Crack detection in beams using Hilbert-Huang transform مجله مدل سازی در مهندسی crack detection hilbert-huang transform fast fourier transform timoshenko’s beam theory artificial bee colony |
| title | Crack detection in beams using Hilbert-Huang transform |
| title_full | Crack detection in beams using Hilbert-Huang transform |
| title_fullStr | Crack detection in beams using Hilbert-Huang transform |
| title_full_unstemmed | Crack detection in beams using Hilbert-Huang transform |
| title_short | Crack detection in beams using Hilbert-Huang transform |
| title_sort | crack detection in beams using hilbert huang transform |
| topic | crack detection hilbert-huang transform fast fourier transform timoshenko’s beam theory artificial bee colony |
| url | https://modelling.semnan.ac.ir/article_2912_47857ab10bb5555e7f87b76448f01fb0.pdf |
| work_keys_str_mv | AT mohammadrezagaleban crackdetectioninbeamsusinghilberthuangtransform AT shapourmoradi crackdetectioninbeamsusinghilberthuangtransform |