Vision-based vibration mode shape extraction for identifying cracks in a cantilever beam

Rongfeng Deng, Yubin Lin, Miaoshuo Li, Fengshou Gu, Andrew Ball

Research output: Contribution to journalConference articlepeer-review

3 Citations (Scopus)


Taking significant merits of high spatial resolution of image sensing, the vibration mode shape of a cantilever beam (CB) is obtained from the free vibration process for local crack identification and structural health monitoring. This vision-based vibration measurement uses a cost-effective rolling shutter camera and a computationally efficient singular value decomposition (SVD). It shows that vibration modes of a continuous structure such as a CB are mainly determined by spatial resolution and less rely on temporal resolution. Moreover, images recorded by the camera maintain the critical information about mode profiles though distortions are introduced into the image. Decomposing the images by SVD allows the vibration modes to be extracted with good degree of accuracy. Both simulation study and experimental verification shows that this novel approach allows different sizes of cracks and locations to be identified.

Original languageEnglish
Article number012037
Number of pages12
JournalJournal of Physics: Conference Series
Issue number1
Early online date16 May 2022
Publication statusPublished - 16 May 2022
Event14th International Conference on Damage Assessment of Structures - Virtual, Online
Duration: 29 Oct 20211 Nov 2021
Conference number: 14


Dive into the research topics of 'Vision-based vibration mode shape extraction for identifying cracks in a cantilever beam'. Together they form a unique fingerprint.

Cite this