Vision-based structural vibration displacement measurement and modal identification
dc.contributor.author | Tan, Dong | |
dc.contributor.supervisor | Jun Li | en_US |
dc.contributor.supervisor | Hong Hao | en_US |
dc.date.accessioned | 2024-07-09T04:08:16Z | |
dc.date.available | 2024-07-09T04:08:16Z | |
dc.date.issued | 2024 | en_US |
dc.identifier.uri | http://hdl.handle.net/20.500.11937/95491 | |
dc.description.abstract |
Accurate measurement of structural vibrations is a critical task in the realm of civil engineering. The installation has hindered the wide usage of traditional sensors. In recent decades, computer vision-based techniques have been introduced to offer an alternative to traditional displacement measurements, especially with the popularisation of apparatus like cameras and Unmanned Aerial Vehicle. This thesis will propose a few vision-based techniques to deal with the problems in structural vibration measurement and modal analysis. | en_US |
dc.publisher | Curtin University | en_US |
dc.title | Vision-based structural vibration displacement measurement and modal identification | en_US |
dc.type | Thesis | en_US |
dcterms.educationLevel | PhD | en_US |
curtin.department | School of Civil and Mechanical Engineering | en_US |
curtin.accessStatus | Fulltext not available | en_US |
curtin.faculty | Science and Engineering | en_US |
curtin.contributor.orcid | Tan, Dong [0000-0002-1793-9343] | en_US |
dc.date.embargoEnd | 2026-06-25 |