Abstract
Estimating damping is known to be notoriously inaccurate and the estimates typically have high variance. In this paper, Bayes theorem and conditional probability are utilized to reduce the variance of the damping estimates by accounting for multiple modal parameter estimates, i.e. poles and mode shape estimates. The modal parameters are estimated using the multi-reference Ibrahim Time Domain method, and an automatic operational modal analysis (AOMA) algorithm that utilizes histogram analysis has been used to automate the modal parameter estimation procedure. Data from a laboratory Plexiglass plate are used to investigate the proposed method. The results suggest that by applying Bayes theorem and conditional probability while accounting for multiple modal parameters improves the damping estimates by reducing the variance.
| Original language | English |
|---|---|
| Title of host publication | 9th International Conference on Structural Health Monitoring of Intelligent Infrastructure |
| Editors | Genda Chen, Sreenivas Alampalli |
| Number of pages | 6 |
| Publication date | 2019 |
| Pages | 1454-1459 |
| ISBN (Electronic) | 9780000000002 |
| Publication status | Published - 2019 |
| Event | 9th International Conference on Structural Health Monitoring of Intelligent Infrastructure - Hyatt Regency St Louis At The Arch, St. Louis, United States Duration: 4. Aug 2019 → 7. Aug 2019 Conference number: 9 https://shmii-9.mst.edu/ |
Conference
| Conference | 9th International Conference on Structural Health Monitoring of Intelligent Infrastructure |
|---|---|
| Number | 9 |
| Location | Hyatt Regency St Louis At The Arch |
| Country/Territory | United States |
| City | St. Louis |
| Period | 04/08/2019 → 07/08/2019 |
| Internet address |