Bayesian Model-Updating Using Features of Modal Data: Application to the Metsovo Bridge
A Bayesian framework is presented for finite element model-updating using experimental modal data. A novel likelihood formulation is proposed regarding the inclusion of the mode shapes, based on a probabilistic treatment of the MAC value between the model predicted and experimental mode shapes. The...
| 主要な著者: | , , , |
|---|---|
| フォーマット: | 論文 |
| 言語: | English |
| 出版事項: |
MDPI AG
2020-06-01
|
| シリーズ: | Journal of Sensor and Actuator Networks |
| 主題: | |
| オンライン･アクセス: | https://www.mdpi.com/2224-2708/9/2/27 |