Optimal Filtering Methods to Structural Damage Estimation under Ground Excitation

Joint Authors

Hsieh, Chien-Shu
Liaw, Der-Cherng
Lin, Tzu-Hsuan

Source

The Scientific World Journal

Issue

Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-12, 12 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2013-12-17

Country of Publication

Egypt

No. of Pages

12

Main Subjects

Medicine
Information Technology and Computer Science

Abstract EN

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.

American Psychological Association (APA)

Hsieh, Chien-Shu& Liaw, Der-Cherng& Lin, Tzu-Hsuan. 2013. Optimal Filtering Methods to Structural Damage Estimation under Ground Excitation. The Scientific World Journal،Vol. 2013, no. 2013, pp.1-12.
https://search.emarefa.net/detail/BIM-1012469

Modern Language Association (MLA)

Hsieh, Chien-Shu…[et al.]. Optimal Filtering Methods to Structural Damage Estimation under Ground Excitation. The Scientific World Journal No. 2013 (2013), pp.1-12.
https://search.emarefa.net/detail/BIM-1012469

American Medical Association (AMA)

Hsieh, Chien-Shu& Liaw, Der-Cherng& Lin, Tzu-Hsuan. Optimal Filtering Methods to Structural Damage Estimation under Ground Excitation. The Scientific World Journal. 2013. Vol. 2013, no. 2013, pp.1-12.
https://search.emarefa.net/detail/BIM-1012469

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1012469