Constrained Unscented Kalman Filter for Structural Identification of Bouc–Wen Hysteretic System

The Bouc–Wen hysteresis model has been extensively used to identify earthquake damage on civil structures where hysteretic behavior is expected. One of the challenging problems in the identification of Bouc–Wen parameters is overfitting, which is caused by too many nonphysical model parameters. Limi...

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Main Authors: Sung-Yong Kim, Jaemin Kim
Format: Article
Language:English
Published: Wiley 2020-01-01
Series:Advances in Civil Engineering
Online Access:http://dx.doi.org/10.1155/2020/8822239
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author Sung-Yong Kim
Jaemin Kim
author_facet Sung-Yong Kim
Jaemin Kim
author_sort Sung-Yong Kim
collection DOAJ
description The Bouc–Wen hysteresis model has been extensively used to identify earthquake damage on civil structures where hysteretic behavior is expected. One of the challenging problems in the identification of Bouc–Wen parameters is overfitting, which is caused by too many nonphysical model parameters. Limit on the search domain of parameters helps to solve the problem. The unscented Kalman filter (UKF) is widely developed to find Bouc–Wen parameters. In order to improve the accuracy and convergence speed of conventional UKF, this study developed a constrained UKF (CUKF) which can be used for the simultaneous identification of the Bouc–Wen hysteretic model. The proposed CUKF is very helpful when certain parameters can be constrained in a physical sense. We compare the proposed CUKF with conventional UKF to validate its robustness and efficacy in identifying Bouc–Wen parameters.
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spelling doaj-art-0d2fe51741c742e8b4ef46293c1913242025-02-03T01:24:57ZengWileyAdvances in Civil Engineering1687-80861687-80942020-01-01202010.1155/2020/88222398822239Constrained Unscented Kalman Filter for Structural Identification of Bouc–Wen Hysteretic SystemSung-Yong Kim0Jaemin Kim1School of Architecture, Changwon National University, Changwon, Republic of KoreaDepartment of Electronics Engineering, Myongji University, Yongin, Republic of KoreaThe Bouc–Wen hysteresis model has been extensively used to identify earthquake damage on civil structures where hysteretic behavior is expected. One of the challenging problems in the identification of Bouc–Wen parameters is overfitting, which is caused by too many nonphysical model parameters. Limit on the search domain of parameters helps to solve the problem. The unscented Kalman filter (UKF) is widely developed to find Bouc–Wen parameters. In order to improve the accuracy and convergence speed of conventional UKF, this study developed a constrained UKF (CUKF) which can be used for the simultaneous identification of the Bouc–Wen hysteretic model. The proposed CUKF is very helpful when certain parameters can be constrained in a physical sense. We compare the proposed CUKF with conventional UKF to validate its robustness and efficacy in identifying Bouc–Wen parameters.http://dx.doi.org/10.1155/2020/8822239
spellingShingle Sung-Yong Kim
Jaemin Kim
Constrained Unscented Kalman Filter for Structural Identification of Bouc–Wen Hysteretic System
Advances in Civil Engineering
title Constrained Unscented Kalman Filter for Structural Identification of Bouc–Wen Hysteretic System
title_full Constrained Unscented Kalman Filter for Structural Identification of Bouc–Wen Hysteretic System
title_fullStr Constrained Unscented Kalman Filter for Structural Identification of Bouc–Wen Hysteretic System
title_full_unstemmed Constrained Unscented Kalman Filter for Structural Identification of Bouc–Wen Hysteretic System
title_short Constrained Unscented Kalman Filter for Structural Identification of Bouc–Wen Hysteretic System
title_sort constrained unscented kalman filter for structural identification of bouc wen hysteretic system
url http://dx.doi.org/10.1155/2020/8822239
work_keys_str_mv AT sungyongkim constrainedunscentedkalmanfilterforstructuralidentificationofboucwenhystereticsystem
AT jaeminkim constrainedunscentedkalmanfilterforstructuralidentificationofboucwenhystereticsystem