Damage detection and identification of parameter matrices using residual force vector

Damage detection and identification of parameter matrices using residual force vector

Beginning with incomplete mode shape measurement data, this study presents analytical equations to predict the actual stiffness and mass matrices. The measured modal data, including the measurement, manufacturing and modeling errors, should be updated for subsequent analysis. In this study, the inc...

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Main Authors: Hee-Chang Eun, Su-Yong Park
Format: Article
Language:English
Published: JVE International 2014-03-01
Series:Journal of Measurements in Engineering
Subjects:
residual force vector
eigenvalue function
update
constraint
measurement
data expansion
Online Access:https://www.jvejournals.com/article/10033
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spelling doaj-0a64236070814734b053ebebbe0d15862020-11-24T21:41:35ZengJVE InternationalJournal of Measurements in Engineering2335-21242424-46352014-03-01211710033Damage detection and identification of parameter matrices using residual force vectorHee-Chang Eun0Su-Yong Park1Kangwon National University, Department of Architectural Engineering, Chuncheon, KoreaKangwon National University, Department of Architectural Engineering, Chuncheon, KoreaBeginning with incomplete mode shape measurement data, this study presents analytical equations to predict the actual stiffness and mass matrices. The measured modal data, including the measurement, manufacturing and modeling errors, should be updated for subsequent analysis. In this study, the incomplete mode shape data are expanded to a full set of degrees-of-freedom (DOFs) based on the generalized inverse method and the concept of residual force vector. The corrected parameter matrices are straightforwardly derived using the estimated mode shape data and the pseudo inverse method. The validity of the proposed method is evaluated based on the number of measured modes in an application, and its limitations are investigated.https://www.jvejournals.com/article/10033residual force vectoreigenvalue functionupdateconstraintmeasurementdata expansion
collection DOAJ
language English
format Article
sources DOAJ
author Hee-Chang Eun
Su-Yong Park
spellingShingle Hee-Chang Eun
Su-Yong Park
Damage detection and identification of parameter matrices using residual force vector
Journal of Measurements in Engineering
residual force vector
eigenvalue function
update
constraint
measurement
data expansion
author_facet Hee-Chang Eun
Su-Yong Park
author_sort Hee-Chang Eun
title Damage detection and identification of parameter matrices using residual force vector
title_short Damage detection and identification of parameter matrices using residual force vector
title_full Damage detection and identification of parameter matrices using residual force vector
title_fullStr Damage detection and identification of parameter matrices using residual force vector
title_full_unstemmed Damage detection and identification of parameter matrices using residual force vector
title_sort damage detection and identification of parameter matrices using residual force vector
publisher JVE International
series Journal of Measurements in Engineering
issn 2335-2124
2424-4635
publishDate 2014-03-01
description Beginning with incomplete mode shape measurement data, this study presents analytical equations to predict the actual stiffness and mass matrices. The measured modal data, including the measurement, manufacturing and modeling errors, should be updated for subsequent analysis. In this study, the incomplete mode shape data are expanded to a full set of degrees-of-freedom (DOFs) based on the generalized inverse method and the concept of residual force vector. The corrected parameter matrices are straightforwardly derived using the estimated mode shape data and the pseudo inverse method. The validity of the proposed method is evaluated based on the number of measured modes in an application, and its limitations are investigated.
topic residual force vector
eigenvalue function
update
constraint
measurement
data expansion
url https://www.jvejournals.com/article/10033
work_keys_str_mv AT heechangeun damagedetectionandidentificationofparametermatricesusingresidualforcevector
AT suyongpark damagedetectionandidentificationofparametermatricesusingresidualforcevector
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