Optimal Filtering Methods to Structural Damage Estimation under Ground Excitation

Author:

Hsieh Chien-Shu1,Liaw Der-Cherng2,Lin Tzu-Hsuan3

Affiliation:

1. Department of Electrical and Electronic Engineering, Ta Hwa University of Science and Technology, Hsinchu 30740, Taiwan

2. Department of Electrical Engineering, National Chiao Tung University, Hsinchu 30010, Taiwan

3. Sinotech Engineering Consultants, Inc., Taipei 10570, Taiwan

Abstract

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.

Funder

National Science Council

Publisher

Hindawi Limited

Subject

General Environmental Science,General Biochemistry, Genetics and Molecular Biology,General Medicine

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Design of Network Based Platform for the Diagnosis of Beam-Type Structure;2023 IEEE 6th International Conference on Knowledge Innovation and Invention (ICKII);2023-08-11

2. A Machine Learning Approach to Beam Structural Variation Detection Via Output-only Acceleration Measurements;2022 International Automatic Control Conference (CACS);2022-11-03

3. Health monitoring system for transmission shafts based on adaptive parameter identification;Mechanical Systems and Signal Processing;2018-05

4. Cancer and Treatment Modalities;Current Cancer Therapy Reviews;2017-08-29

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3