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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...

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Autores principales: Hsieh, Chien-Shu, Liaw, Der-Cherng, Lin, Tzu-Hsuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3878783/
https://www.ncbi.nlm.nih.gov/pubmed/24453869
http://dx.doi.org/10.1155/2013/528109
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author Hsieh, Chien-Shu
Liaw, Der-Cherng
Lin, Tzu-Hsuan
author_facet Hsieh, Chien-Shu
Liaw, Der-Cherng
Lin, Tzu-Hsuan
author_sort Hsieh, Chien-Shu
collection PubMed
description 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.
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spelling pubmed-38787832014-01-19 Optimal Filtering Methods to Structural Damage Estimation under Ground Excitation Hsieh, Chien-Shu Liaw, Der-Cherng Lin, Tzu-Hsuan ScientificWorldJournal Research Article 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. Hindawi Publishing Corporation 2013-12-17 /pmc/articles/PMC3878783/ /pubmed/24453869 http://dx.doi.org/10.1155/2013/528109 Text en Copyright © 2013 Chien-Shu Hsieh et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Hsieh, Chien-Shu
Liaw, Der-Cherng
Lin, Tzu-Hsuan
Optimal Filtering Methods to Structural Damage Estimation under Ground Excitation
title Optimal Filtering Methods to Structural Damage Estimation under Ground Excitation
title_full Optimal Filtering Methods to Structural Damage Estimation under Ground Excitation
title_fullStr Optimal Filtering Methods to Structural Damage Estimation under Ground Excitation
title_full_unstemmed Optimal Filtering Methods to Structural Damage Estimation under Ground Excitation
title_short Optimal Filtering Methods to Structural Damage Estimation under Ground Excitation
title_sort optimal filtering methods to structural damage estimation under ground excitation
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3878783/
https://www.ncbi.nlm.nih.gov/pubmed/24453869
http://dx.doi.org/10.1155/2013/528109
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