Monitoring breathing cracks of a beam-like bridge subjected to moving vehicle using wavelet spectrum
In this paper a wavelet spectrum technique for monitoring the breathing crack phenomenon of a beam-like bridge subjected to moving vehicle is presented. The stiffness of element with a breathing crack is modeled as a time dependent stiffness matrix using the finite element method. The stiffness mat...
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| Format: | Article |
| Language: | English |
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Publishing House for Science and Technology
2013-07-01
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| Series: | Vietnam Journal of Mechanics |
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| Online Access: | https://vjs.ac.vn/index.php/vjmech/article/view/450 |
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| author | Nguyen Viet Khoa |
| author_facet | Nguyen Viet Khoa |
| author_sort | Nguyen Viet Khoa |
| collection | DOAJ |
| description | In this paper a wavelet spectrum technique for monitoring the breathing crack phenomenon of a beam-like bridge subjected to moving vehicle is presented. The stiffness of element with a breathing crack is modeled as a time dependent stiffness matrix using the finite element method. The stiffness matrix of the structure at each moment depends on the curvature of the structure at the crack position. The breathing crack phenomenon can be detected by analysing the instantaneous frequency (IF) of the system using the wavelet spectrum. When the crack depth is large, the crack area might be determined by the significant peak in the IF. The simulation results show that when the crack “breaths” the amplitude of the vibration obtained from the vehicle is smaller than in the case of an open crack. This is a warning when using the amplitude of the dynamic response to estimate the crack depth when there is a breathing crack in the structure. Therefore, it is important to distinguish the open crack and breathing crack to obtain a more accurate estimation of the crack depth. The results showed that crack with a depth as small as 10% of the beam height can be detected by the method. The proposed method can be applied with a noise level up to 10%.
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| format | Article |
| id | doaj-art-787c39b607eb4e3398f79b40cc709712 |
| institution | OA Journals |
| issn | 0866-7136 2815-5882 |
| language | English |
| publishDate | 2013-07-01 |
| publisher | Publishing House for Science and Technology |
| record_format | Article |
| series | Vietnam Journal of Mechanics |
| spelling | doaj-art-787c39b607eb4e3398f79b40cc7097122025-08-20T02:11:16ZengPublishing House for Science and TechnologyVietnam Journal of Mechanics0866-71362815-58822013-07-0135210.15625/0866-7136/35/2/450Monitoring breathing cracks of a beam-like bridge subjected to moving vehicle using wavelet spectrumNguyen Viet Khoa0Institute of Mechanics, Vietnam Academy of Science and Technology, 18 Hoang Quoc Viet, Cau Giay, Hanoi In this paper a wavelet spectrum technique for monitoring the breathing crack phenomenon of a beam-like bridge subjected to moving vehicle is presented. The stiffness of element with a breathing crack is modeled as a time dependent stiffness matrix using the finite element method. The stiffness matrix of the structure at each moment depends on the curvature of the structure at the crack position. The breathing crack phenomenon can be detected by analysing the instantaneous frequency (IF) of the system using the wavelet spectrum. When the crack depth is large, the crack area might be determined by the significant peak in the IF. The simulation results show that when the crack “breaths” the amplitude of the vibration obtained from the vehicle is smaller than in the case of an open crack. This is a warning when using the amplitude of the dynamic response to estimate the crack depth when there is a breathing crack in the structure. Therefore, it is important to distinguish the open crack and breathing crack to obtain a more accurate estimation of the crack depth. The results showed that crack with a depth as small as 10% of the beam height can be detected by the method. The proposed method can be applied with a noise level up to 10%. https://vjs.ac.vn/index.php/vjmech/article/view/450Breathing crackcrack detectiondamage detectionmoving vehiclemoving loadwavelet transform |
| spellingShingle | Nguyen Viet Khoa Monitoring breathing cracks of a beam-like bridge subjected to moving vehicle using wavelet spectrum Vietnam Journal of Mechanics Breathing crack crack detection damage detection moving vehicle moving load wavelet transform |
| title | Monitoring breathing cracks of a beam-like bridge subjected to moving vehicle using wavelet spectrum |
| title_full | Monitoring breathing cracks of a beam-like bridge subjected to moving vehicle using wavelet spectrum |
| title_fullStr | Monitoring breathing cracks of a beam-like bridge subjected to moving vehicle using wavelet spectrum |
| title_full_unstemmed | Monitoring breathing cracks of a beam-like bridge subjected to moving vehicle using wavelet spectrum |
| title_short | Monitoring breathing cracks of a beam-like bridge subjected to moving vehicle using wavelet spectrum |
| title_sort | monitoring breathing cracks of a beam like bridge subjected to moving vehicle using wavelet spectrum |
| topic | Breathing crack crack detection damage detection moving vehicle moving load wavelet transform |
| url | https://vjs.ac.vn/index.php/vjmech/article/view/450 |
| work_keys_str_mv | AT nguyenvietkhoa monitoringbreathingcracksofabeamlikebridgesubjectedtomovingvehicleusingwaveletspectrum |