Optimal Filtering Methods to Structural Damage Estimation under Ground Excitation
This paper considers the problem of shear building damage estimation subject to earthquake ground excitation using the Kalman filtering approach. The structural damage is assumed to take the form of reduced elemental stiffness. Two damage estimation algorithms are proposed: one is the multiple model...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2013-01-01
|
| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2013/528109 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | This paper considers the problem of shear building damage estimation
subject to earthquake ground excitation using the Kalman filtering
approach. The structural damage is assumed to take the form of
reduced elemental stiffness. Two damage estimation algorithms are
proposed: one is the multiple model approach via the optimal
two-stage Kalman estimator (OTSKE), and the other is the robust
two-stage Kalman filter (RTSKF), an unbiased minimum-variance
filtering approach to determine the locations and extents of the
damage stiffness. A numerical example of a six-storey shear plane
frame structure subject to base excitation is used to illustrate the
usefulness of the proposed results. |
|---|---|
| ISSN: | 1537-744X |