Vision-Based Dynamic Response Extraction and Modal Identification of Simple Structures Subject to Ambient Excitation
Vision-based modal analysis has gained popularity in the field of structural health monitoring due to significant advancements in optics and computer science. For long term monitoring, the structures are subjected to ambient excitation, so that their vibration amplitudes are quite small. Hence, alth...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-02-01
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| Series: | Remote Sensing |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2072-4292/15/4/962 |
| _version_ | 1797618412357156864 |
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| author | Zhiwei Chen Xuzhi Ruan Yao Zhang |
| author_facet | Zhiwei Chen Xuzhi Ruan Yao Zhang |
| author_sort | Zhiwei Chen |
| collection | DOAJ |
| description | Vision-based modal analysis has gained popularity in the field of structural health monitoring due to significant advancements in optics and computer science. For long term monitoring, the structures are subjected to ambient excitation, so that their vibration amplitudes are quite small. Hence, although natural frequencies can be usually identified from the extracted displacements by vision-based techniques, it is still difficult to evaluate the corresponding mode shapes accurately due to limited resolution. In this study, a novel signal reconstruction algorithm is proposed to reconstruct the dynamic response extracted by the vision-based approach to identify the mode shapes of structures with low amplitude vibration due to environmental excitation. The experimental test of a cantilever beam shows that even if the vibration amplitude is as low as 0.01 mm, the first two mode shapes can be accurately identified if the proposed signal reconstruction algorithm is implemented, while without the proposed algorithm, they can only be identified when the vibration amplitude is at least 0.06 mm. The proposed algorithm can also perform well with various camera settings, indicating great potential to be used for vision-based structural health monitoring. |
| first_indexed | 2024-03-11T08:12:31Z |
| format | Article |
| id | doaj.art-17c5b2cc40b84bffaaedd5afaba6758c |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-11T08:12:31Z |
| publishDate | 2023-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-17c5b2cc40b84bffaaedd5afaba6758c2023-11-16T23:01:49ZengMDPI AGRemote Sensing2072-42922023-02-0115496210.3390/rs15040962Vision-Based Dynamic Response Extraction and Modal Identification of Simple Structures Subject to Ambient ExcitationZhiwei Chen0Xuzhi Ruan1Yao Zhang2School of Architecture and Civil Engineering, Xiamen University, Xiamen 361005, ChinaSchool of Architecture and Civil Engineering, Xiamen University, Xiamen 361005, ChinaSchool of Architecture and Civil Engineering, Xiamen University, Xiamen 361005, ChinaVision-based modal analysis has gained popularity in the field of structural health monitoring due to significant advancements in optics and computer science. For long term monitoring, the structures are subjected to ambient excitation, so that their vibration amplitudes are quite small. Hence, although natural frequencies can be usually identified from the extracted displacements by vision-based techniques, it is still difficult to evaluate the corresponding mode shapes accurately due to limited resolution. In this study, a novel signal reconstruction algorithm is proposed to reconstruct the dynamic response extracted by the vision-based approach to identify the mode shapes of structures with low amplitude vibration due to environmental excitation. The experimental test of a cantilever beam shows that even if the vibration amplitude is as low as 0.01 mm, the first two mode shapes can be accurately identified if the proposed signal reconstruction algorithm is implemented, while without the proposed algorithm, they can only be identified when the vibration amplitude is at least 0.06 mm. The proposed algorithm can also perform well with various camera settings, indicating great potential to be used for vision-based structural health monitoring.https://www.mdpi.com/2072-4292/15/4/962vision-basedambient excitationlow-amplitude vibrationmode shape identification |
| spellingShingle | Zhiwei Chen Xuzhi Ruan Yao Zhang Vision-Based Dynamic Response Extraction and Modal Identification of Simple Structures Subject to Ambient Excitation Remote Sensing vision-based ambient excitation low-amplitude vibration mode shape identification |
| title | Vision-Based Dynamic Response Extraction and Modal Identification of Simple Structures Subject to Ambient Excitation |
| title_full | Vision-Based Dynamic Response Extraction and Modal Identification of Simple Structures Subject to Ambient Excitation |
| title_fullStr | Vision-Based Dynamic Response Extraction and Modal Identification of Simple Structures Subject to Ambient Excitation |
| title_full_unstemmed | Vision-Based Dynamic Response Extraction and Modal Identification of Simple Structures Subject to Ambient Excitation |
| title_short | Vision-Based Dynamic Response Extraction and Modal Identification of Simple Structures Subject to Ambient Excitation |
| title_sort | vision based dynamic response extraction and modal identification of simple structures subject to ambient excitation |
| topic | vision-based ambient excitation low-amplitude vibration mode shape identification |
| url | https://www.mdpi.com/2072-4292/15/4/962 |
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