|
| Cable bridge modal parameter statistical analysis under the time varying environment coupled with damage |
| Received:March 27, 2009 |
| View Full Text View/Add Comment Download reader |
| DOI：10.7511/jslx20103013 |
| KeyWord:damage identification time varying environment modal parameter identification artificial neural network |
| Author | Institution |
| 杨鸥 |
哈尔滨工业大学 土木工程学院,哈尔滨 |
| 刘洋 |
哈尔滨工业大学 交通科学与工程学院,哈尔滨 |
| 李惠 |
哈尔滨工业大学 土木工程学院,哈尔滨 |
| 欧进萍 |
哈尔滨工业大学 土木工程学院,哈尔滨 ;大连理工大学 土木工程学院,大连 |
|
| Hits: 1766 |
| Download times: 1512 |
| Abstract: |
| Statistical analysis for modal frequencies and damping ratios of a cable-stayed bridge is performed accounting for the coupled effects of time varying environment and damage. Firstly, ERA combined NExT method is utilized to identify structural frequency and damping ratio. Than, BP neural network is employed to establish the relationship between temperature and structural modal parameters using long-term monitoring data. And then, the probability model of variation in structural modal parameter by temperature and noise is obtained. Finally, structure damage is identified by comparing the intersection probability ratio of modal parameter. The proposed approach in this study is verified. |
|
|
|