Output-only modal parameter identification of structures by vision modal analysis
• A vision modal analysis framework for modal parameter identification is developed. • The vision data is shown pertaining to the vision modal decomposition. • Additional higher-order harmonics arise for finite motion or non-smoothing video. • The DOFs are dramatically reduced by using edge pixels i...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Lu, Zhong-Rong [verfasserIn] |
|---|
| Format: |
E-Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
2021 |
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| Übergeordnetes Werk: |
Enthalten in: Cancer of the uterus and treatment of incontinence (CUTI) - Robison, K.M. ELSEVIER, 2015, London |
|---|---|
| Übergeordnetes Werk: |
volume:497 ; year:2021 ; day:14 ; month:04 ; pages:0 |
| Links: |
|---|
| DOI / URN: |
10.1016/j.jsv.2021.115949 |
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| 520 | |a • A vision modal analysis framework for modal parameter identification is developed. • The vision data is shown pertaining to the vision modal decomposition. • Additional higher-order harmonics arise for finite motion or non-smoothing video. • The DOFs are dramatically reduced by using edge pixels in the ZOIs as vision data. • The effectiveness is verified by numerical and experimental examples. | ||
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Output-only modal parameter identification of structures by vision modal analysis |
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• A vision modal analysis framework for modal parameter identification is developed. • The vision data is shown pertaining to the vision modal decomposition. • Additional higher-order harmonics arise for finite motion or non-smoothing video. • The DOFs are dramatically reduced by using edge pixels in the ZOIs as vision data. • The effectiveness is verified by numerical and experimental examples. |
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• A vision modal analysis framework for modal parameter identification is developed. • The vision data is shown pertaining to the vision modal decomposition. • Additional higher-order harmonics arise for finite motion or non-smoothing video. • The DOFs are dramatically reduced by using edge pixels in the ZOIs as vision data. • The effectiveness is verified by numerical and experimental examples. |
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• A vision modal analysis framework for modal parameter identification is developed. • The vision data is shown pertaining to the vision modal decomposition. • Additional higher-order harmonics arise for finite motion or non-smoothing video. • The DOFs are dramatically reduced by using edge pixels in the ZOIs as vision data. • The effectiveness is verified by numerical and experimental examples. |
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Output-only modal parameter identification of structures by vision modal analysis |
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