Model updating of microsystems using test data
In modern electronics technology, the rapid advances of microsystems present an imperative requirement in the modeling and the testing of their dynamic characteristics. Due to particular sophistication of microsystems in design and fabrication, finite element (FE) method has limitations to produce a...
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| Formato: | Tese |
| Idioma: | English |
| Publicado em: |
2008
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| Acesso em linha: | https://hdl.handle.net/10356/13416 |
| _version_ | 1826129442085273600 |
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| author | Zhu, Jun |
| author2 | Lin Rongming |
| author_facet | Lin Rongming Zhu, Jun |
| author_sort | Zhu, Jun |
| collection | NTU |
| description | In modern electronics technology, the rapid advances of microsystems present an imperative requirement in the modeling and the testing of their dynamic characteristics. Due to particular sophistication of microsystems in design and fabrication, finite element (FE) method has limitations to produce accurate mathematical models for microsystems. To obtain a credible analytical model of a microsystem, model updating is employed as an effective approach for improving the FE model using vibration test data. Considering particular testing techniques and damped microstructures of microsystems, this dissertation deals with the research on development of identification of damped structures and suitable updating methods for microsystems. The relationship between structural and viscous damping models in damped systems has been addressed. A complex FRF method has been proposed for generally damped structures. A novel method directly using base excitation test data has been developed successfully for model updating. The modal identification procedure, where a damping model is arbitrarily chosen for a damped system in the cases of viscous and structural damping, has been studied. It is shown that an exact relationship exists between structural and viscous damping models in a proportionally damped system. The identified damping matrix is not proportional though the equivalent mode shapes remain real. For a non-proportionally damped system, the equivalent mode shapes consist with their counterparts of the original system except differing by a complex scaling factor. It is demonstrated efficiently by numerical studies and an experimental example that the error in estimating modal parameters induced by wrong interpretation of damping model is quite small. In addition, the equivalent damping matrix is physically meaningful in the case of a system with distributed damping while there is no such equivalent damping matrix if the damping is localized. |
| first_indexed | 2024-10-01T07:40:41Z |
| format | Thesis |
| id | ntu-10356/13416 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T07:40:41Z |
| publishDate | 2008 |
| record_format | dspace |
| spelling | ntu-10356/134162023-03-11T17:51:17Z Model updating of microsystems using test data Zhu, Jun Lin Rongming School of Mechanical and Aerospace Engineering DRNTU::Engineering::Electrical and electronic engineering::Microelectromechanical systems In modern electronics technology, the rapid advances of microsystems present an imperative requirement in the modeling and the testing of their dynamic characteristics. Due to particular sophistication of microsystems in design and fabrication, finite element (FE) method has limitations to produce accurate mathematical models for microsystems. To obtain a credible analytical model of a microsystem, model updating is employed as an effective approach for improving the FE model using vibration test data. Considering particular testing techniques and damped microstructures of microsystems, this dissertation deals with the research on development of identification of damped structures and suitable updating methods for microsystems. The relationship between structural and viscous damping models in damped systems has been addressed. A complex FRF method has been proposed for generally damped structures. A novel method directly using base excitation test data has been developed successfully for model updating. The modal identification procedure, where a damping model is arbitrarily chosen for a damped system in the cases of viscous and structural damping, has been studied. It is shown that an exact relationship exists between structural and viscous damping models in a proportionally damped system. The identified damping matrix is not proportional though the equivalent mode shapes remain real. For a non-proportionally damped system, the equivalent mode shapes consist with their counterparts of the original system except differing by a complex scaling factor. It is demonstrated efficiently by numerical studies and an experimental example that the error in estimating modal parameters induced by wrong interpretation of damping model is quite small. In addition, the equivalent damping matrix is physically meaningful in the case of a system with distributed damping while there is no such equivalent damping matrix if the damping is localized. DOCTOR OF PHILOSOPHY (MAE) 2008-07-22T01:01:55Z 2008-10-20T08:16:46Z 2008-07-22T01:01:55Z 2008-10-20T08:16:46Z 2008 2008 Thesis Zhu, J. (2008). Model updating of microsystems using test data. Doctoral thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/13416 10.32657/10356/13416 en 278 p. application/pdf |
| spellingShingle | DRNTU::Engineering::Electrical and electronic engineering::Microelectromechanical systems Zhu, Jun Model updating of microsystems using test data |
| title | Model updating of microsystems using test data |
| title_full | Model updating of microsystems using test data |
| title_fullStr | Model updating of microsystems using test data |
| title_full_unstemmed | Model updating of microsystems using test data |
| title_short | Model updating of microsystems using test data |
| title_sort | model updating of microsystems using test data |
| topic | DRNTU::Engineering::Electrical and electronic engineering::Microelectromechanical systems |
| url | https://hdl.handle.net/10356/13416 |
| work_keys_str_mv | AT zhujun modelupdatingofmicrosystemsusingtestdata |