Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/10377
Full metadata record
DC FieldValueLanguage
dc.contributor.authorHızal, Çağlayantr
dc.date.accessioned2021-01-24T18:34:21Z-
dc.date.available2021-01-24T18:34:21Z-
dc.date.issued2020-
dc.identifier.issn0141-0296-
dc.identifier.issn1873-7323-
dc.identifier.urihttps://doi.org/10.1016/j.engstruct.2020.111007-
dc.identifier.urihttps://hdl.handle.net/10377-
dc.description.abstractIn this study, a Modified Frequency and Spatial Domain Decomposition (MFSDD) technique is developed for modal parameter identification, using output-only response measurements. According to the presented procedure, the most probable power spectral density matrix of the measured response (output PSD) is updated by a maximum likelihood estimation based on the observed data. Different from the available Frequency Domain Decomposition (FDD) techniques, a prediction error term which is associated with the measurement noise and modelling errors is included in the proposed methodology. In this context, a detailed discussion is provided from various aspects for the effect of measurement noise and modelling errors on the parameter estimation quality. Two numerical and two experimental analysis are conducted in order to demonstrate the effectiveness and accuracy of the proposed methodology under some extreme effects. The obtained results indicate that the proposed method shows very good performance in modal parameter estimation in case of noisy measurements.en_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.relation.ispartofEngineering Structuresen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectOperational modal analysisen_US
dc.subjectModal identificationen_US
dc.subjectMeasurement noiseen_US
dc.subjectModelling erroren_US
dc.subjectMode shape estimationen_US
dc.subjectFrequency domain decompositionen_US
dc.subjectMaximum likelihood estimationen_US
dc.titleModified frequency and spatial domain decomposition method based on maximum likelihood estimationen_US
dc.typeArticleen_US
dc.institutionauthorHızal, Çağlayantr
dc.departmentİzmir Institute of Technology. Civil Engineeringen_US
dc.identifier.volume224en_US
dc.identifier.wosWOS:000582490500013en_US
dc.identifier.scopus2-s2.0-85090144830en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıtr
dc.identifier.doi10.1016/j.engstruct.2020.111007-
dc.relation.doi10.1016/j.engstruct.2020.111007en_US
dc.coverage.doi10.1016/j.engstruct.2020.111007en_US
dc.identifier.wosqualityQ1-
dc.identifier.scopusqualityQ1-
item.openairetypeArticle-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextWith Fulltext-
item.languageiso639-1en-
item.cerifentitytypePublications-
item.grantfulltextopen-
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-S0141029620302042-main.pdf4.53 MBAdobe PDFView/Open
Show simple item record



CORE Recommender

SCOPUSTM   
Citations

13
checked on Mar 22, 2024

WEB OF SCIENCETM
Citations

12
checked on Mar 23, 2024

Page view(s)

110
checked on Mar 25, 2024

Download(s)

28
checked on Mar 25, 2024

Google ScholarTM

Check




Altmetric


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