Modal identification and fatigue behavior of Eynel steel arch highway bridge with calibrated models

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Özet

In this paper, modal parameters of the Eynel steel arch highway bridge are identified and the fatigue behavior of the bridge is investigated. Modal parameters were extracted from three ambient vibration tests carried out over the period since the bridge came into service. The bridge became operational in 2009, and experimental measurements were taken in 2010, 2019, and 2021. The Enhanced Frequency Domain Decomposition (EFDD) method in the frequency domain and the Stochastic Subspace Identification (SSI) method in the time domain were used. Modal parameters were compared and any differences found over time in the measurement test results were investigated. Comparison of the results shows that changes in the natural frequencies were very limited and there was no change between the mode shapes. When experimental natural frequencies were compared, the maximum difference between the first and second measurements was calculated as 2.827%. Similarly, the maximum difference between the first and third measurements was 5.587% for the second mode, and around 3% for the other modes. This result is as expected because: (i) the bridge is not subject to heavy vehicle traffic and only connects village roads; (ii) no significant earthquake occurred during this period in the region which might have caused structural damage; (iii) no corrosion was found in the structural system elements as there was no contact with the reservoir water; (iv) no settlement or sliding occurred in the ground and boundary conditions remained unchanged. Moreover, the fatigue behavior of the bridge was investigated using the stress life method and AASHTO LRFD Bridge Design Specifications. To rationalize the results against the fatigue effects, the verified finite element model was used. From the fatigue analyses, it was concluded that the fatigue life of the bridge was within safe limits.

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https://rdlopen.rawdatalibrary.net/r/bayburt/12097Resmi atıflarda kullanılan kalıcı adres
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https://doi.org/10.1007/s13349-021-00512-wYayıncı resmi DOI adresi
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Tam Kayıt
AlanDeğerDil
dc.contributor.authorSunca, Fezayil
dc.contributor.authorErgün, Mustafa
dc.contributor.authorAltunişik, Ahmet Can
dc.contributor.authorGünaydin, Murat
dc.contributor.authorOkur, Fatih Yesevi
dc.date.accessioned2026-10-29T19:09:11.133559468Z
dc.date.available2026-10-29T19:09:11.133559468Z
dc.date.issued2021
dc.description.abstractIn this paper, modal parameters of the Eynel steel arch highway bridge are identified and the fatigue behavior of the bridge is investigated. Modal parameters were extracted from three ambient vibration tests carried out over the period since the bridge came into service. The bridge became operational in 2009, and experimental measurements were taken in 2010, 2019, and 2021. The Enhanced Frequency Domain Decomposition (EFDD) method in the frequency domain and the Stochastic Subspace Identification (SSI) method in the time domain were used. Modal parameters were compared and any differences found over time in the measurement test results were investigated. Comparison of the results shows that changes in the natural frequencies were very limited and there was no change between the mode shapes. When experimental natural frequencies were compared, the maximum difference between the first and second measurements was calculated as 2.827%. Similarly, the maximum difference between the first and third measurements was 5.587% for the second mode, and around 3% for the other modes. This result is as expected because: (i) the bridge is not subject to heavy vehicle traffic and only connects village roads; (ii) no significant earthquake occurred during this period in the region which might have caused structural damage; (iii) no corrosion was found in the structural system elements as there was no contact with the reservoir water; (iv) no settlement or sliding occurred in the ground and boundary conditions remained unchanged. Moreover, the fatigue behavior of the bridge was investigated using the stress life method and AASHTO LRFD Bridge Design Specifications. To rationalize the results against the fatigue effects, the verified finite element model was used. From the fatigue analyses, it was concluded that the fatigue life of the bridge was within safe limits.
dc.identifier.doi10.1007/s13349-021-00512-w
dc.identifier.eissn2190-5479
dc.identifier.endpage1354
dc.identifier.issn2190-5452
dc.identifier.issue5
dc.identifier.scopus2-s2.0-85112366156
dc.identifier.startpage1337
dc.identifier.urihttps://rdlopen.rawdatalibrary.net/r/bayburt/12097
dc.identifier.volume11
dc.identifier.wosWOS:000684492700001
dc.language.isoen
dc.publisherSpringer Science and Business Media Deutschland GmbH
dc.relation.ispartofJournal of Civil Structural Health Monitoring
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectAmbient vibration test
dc.subjectFatigue behavior
dc.subjectHighway bridge
dc.subjectModal parameters
dc.subjectSteel arch bridge
dc.subject.classificationEngineering, Civil
dc.subject.classificationEngineering
dc.subject.otherArch bridges
dc.subject.otherArches
dc.subject.otherComposite beams and girders
dc.subject.otherCorrosion
dc.subject.otherDomain decomposition methods
dc.subject.otherElectric measuring bridges
dc.subject.otherFrequency domain analysis
dc.subject.otherHighway bridges
dc.subject.otherModal analysis
dc.subject.otherNatural frequencies
dc.subject.otherReservoirs (water)
dc.subject.otherSteel bridges
dc.subject.otherStochastic systems
dc.subject.otherStructural analysis
dc.subject.otherTime domain analysis
dc.subject.otherAmbient vibration test
dc.subject.otherEnhanced frequency domain decompositions
dc.subject.otherFrequency domains
dc.subject.otherHeavy vehicle traffic
dc.subject.otherModal identification
dc.subject.otherStochastic subspace identification
dc.subject.otherStructural damages
dc.subject.otherStructural systems
dc.subject.otherFatigue of materials
dc.titleModal identification and fatigue behavior of Eynel steel arch highway bridge with calibrated models
dc.typeArticle
rdl.citation.openalex16
rdl.citation.scopus16
rdl.citation.wos16
rdl.oa.statusclosed
rdl.oa.statusgreen
rdl.oa.urlhttp://hdl.handle.net/20.500.12403/3493
rdl.scopus.quartileQ1
rdl.sdgSDG09
rdl.source.indexSCOPUS
rdl.source.indexWOS
rdl.wos.indexScience Citation Index Expanded (SCI-EXPANDED)