Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/8902
Full metadata record
DC FieldValueLanguage
dc.contributor.authorHızal, Çağlayan-
dc.contributor.authorTuran, Gürsoy-
dc.contributor.authorAktaş, Engin-
dc.contributor.authorCeylan, Hasan-
dc.date.accessioned2020-07-18T08:34:06Z-
dc.date.available2020-07-18T08:34:06Z-
dc.date.issued2019-
dc.identifier.issn0888-3270-
dc.identifier.issn1096-1216-
dc.identifier.urihttps://doi.org/10.1016/j.ymssp.2019.106328-
dc.identifier.urihttps://hdl.handle.net/11147/8902-
dc.description.abstractOperational modal analysis may require identifying global modal shapes by using multiple setup measurements. For this purpose, various algorithms have been developed which make use of the Bayesian approach to estimate the global mode shapes. The main motivation of the available Bayesian approaches is based on the estimation of the optimal global mode shape vector directly from Fast Fourier Transform data or assembling the local mode shapes that are identified in the individual setups by using Gaussian approximation. In this study, the two-stage Bayesian Fast Fourier Transform Approach which is originally applied to single setups is implemented to multiple setup problems for well separated modes. Analytically it is shown that the resulting formulation is the same for the mode shape assembly by using the Gaussian approximation. In addition, the weights of individual setups in the global mode shape vector is analytically calculated which depend on the Hessian matrix for local mode shapes. To validate the proposed methodology, a numerical example that considers setup-to-setup variability of modal signal-noise ratios is presented. For comparison purposes a ten-story shear frame model is experimentally investigated, and the measurements of a benchmark bridge structure are considered in the verification of the current procedure. (C) 2019 Elsevier Ltd. All rights reserved.en_US
dc.language.isoenen_US
dc.publisherAcademic Press Inc.en_US
dc.relation.ispartofMechanical Systems and Signal Processingen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectBFFTAen_US
dc.subjectMode shape assemblyen_US
dc.subjectModal identificationen_US
dc.subjectOperational modal analysisen_US
dc.subjectMultiple setupsen_US
dc.titleA mode shape assembly algorithm by using two stage bayesian fast fourier transform approachen_US
dc.typeArticleen_US
dc.authorid0000-0002-9783-6511-
dc.authorid0000-0002-5706-2101-
dc.institutionauthorHızal, Çağlayan-
dc.institutionauthorTuran, Gürsoy-
dc.institutionauthorAktaş, Engin-
dc.institutionauthorCeylan, Hasan-
dc.departmentİzmir Institute of Technology. Civil Engineeringen_US
dc.identifier.volume134en_US
dc.identifier.wosWOS:000498659200005en_US
dc.identifier.scopus2-s2.0-85071777694en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.identifier.doi10.1016/j.ymssp.2019.106328-
dc.relation.doi10.1016/j.ymssp.2019.106328en_US
dc.coverage.doi10.1016/j.ymssp.2019.106328en_US
dc.identifier.wosqualityQ1-
dc.identifier.scopusqualityQ1-
item.fulltextWith Fulltext-
item.openairetypeArticle-
item.cerifentitytypePublications-
item.grantfulltextopen-
item.languageiso639-1en-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
crisitem.author.dept03.03. Department of Civil Engineering-
crisitem.author.dept03.03. Department of Civil Engineering-
crisitem.author.dept03.03. Department of Civil Engineering-
Appears in Collections:Civil Engineering / İnşaat Mühendisliği
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
Files in This Item:
File SizeFormat 
1-s2.0-S0888327019305497-main.pdf2.8 MBAdobe PDFView/Open
Show simple item record



CORE Recommender

SCOPUSTM   
Citations

12
checked on Apr 5, 2024

WEB OF SCIENCETM
Citations

11
checked on Mar 30, 2024

Page view(s)

166
checked on Apr 15, 2024

Download(s)

276
checked on Apr 15, 2024

Google ScholarTM

Check




Altmetric


Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.