Research Article
A Bayesian Structural Modal Updating Method Based on Sparse Grid and Ensemble Kalman Filter
Table 2
MPV and variance of the updated parameters in the shaking table experiment.
| Working condition | Variables | Reference data | Kalman filter | Proposed method | MPV | Variance | MPV | Variance |
| WC1 | θx1 | 0.9079 | 0.8756 | 0.1369 | 0.8946 | 0.1034 | θx2 | 0.9197 | 0.9382 | 0.1427 | 0.9315 | 0.1189 | θx3 | 0.9424 | 0.9324 | 0.1307 | 0.9558 | 0.1068 |
| WC2 | θy1 | 0.9147 | 0.9474 | 0.1467 | 0.9396 | 0.0967 | θy2 | 0.9428 | 0.9287 | 0.1512 | 0.9577 | 0.1012 | θy3 | 0.8926 | 0.9245 | 0.1447 | 0.9189 | 0.0987 |
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