Abstract
Modal identification is a technique that can identify the modal properties of a structure from measured vibration data. Forced vibration technique is one of the commonly used approaches in modal identification as the obtained data has higher signal-to-noise ratio and it provides additional information, e.g. modal mass ratio. This paper provides a qualitative analysis of the identification precision of modal parameters based on vibration data under known broadband input excitation. The scientific findings can be used for managing and understanding the uncertainties of vibration tests. This paper provides physical insight into the uncertainties of the modal identification using known input force and gives a fundamental answer to a scientific and engineering question—how much data is needed to achieve a specified precision in the modal parameters?.
| Original language | English |
|---|---|
| Title of host publication | Mechanics of Structures and Materials |
| Subtitle of host publication | Advancements and Challenges - Proceedings of the 24th Australasian Conference on the Mechanics of Structures and Materials, ACMSM24 2016 |
| Editors | Hong Hao, Chunwei Zhang |
| Publisher | CRC Press/Balkem |
| Pages | 1389-1394 |
| Number of pages | 6 |
| ISBN (Print) | 9781138029934 |
| Publication status | Published - 2017 |
| Externally published | Yes |
| Event | 24th Australasian Conference on the Mechanics of Structures and Materials, ACMSM 2016 - Perth, Australia Duration: Dec 6 2016 → Dec 9 2016 |
Conference
| Conference | 24th Australasian Conference on the Mechanics of Structures and Materials, ACMSM 2016 |
|---|---|
| Country/Territory | Australia |
| City | Perth |
| Period | 12/6/16 → 12/9/16 |
Bibliographical note
Publisher Copyright:© 2017 Taylor & Francis Group, London.
ASJC Scopus Subject Areas
- Mechanics of Materials
- Civil and Structural Engineering