|
| Experimental study on damage identification of the benchmark structure under ambient excitation |
| Received:December 06, 2008 |
| View Full Text View/Add Comment Download reader |
| DOI：10.7511/jslx20103020 |
| KeyWord:damage identification Benchmark structure ARMA model, ambient excitation, damage sensitive feature |
| Author | Institution |
| 刘毅 |
东南大学 土木工程学院,南京 |
| 李爱群 |
东南大学 土木工程学院,南京 |
|
| Hits: 1652 |
| Download times: 1228 |
| Abstract: |
| A novel damage identification algorithm using time series analysis is presented for the on-line damage diagnosis in structural health monitoring (SHM). First, the monitoring data obtained from undamaged structure was served as a reference sample and constructed as the ARMA time series models. The residual-error variances of these ARMA models were calculated. Then, a newly obtained monitoring data was substituted in these reference ARMA models to compute its own residual-error variances. It was observed that the variances from pre- and post- damaged structure were different. Thus, a new damage sensitive feature was proposed as a function of variances ratio. A hypothesis test involving the F-distribution was utilized to identify structure conditions and report damage. At last, the proposed algorithm was applied to the ambient excitation tests of the IASC-ASCE Benchmark structure. Result shows that, the time series based damage sensitive future is able to distinguish the normal condition from the damaged condition, and the proposed algorithm can be applied to the on-line damage identification in SHM. |
|
|
|