Please use this identifier to cite or link to this item: http://nopr.niscair.res.in/handle/123456789/15160
Full metadata record
DC FieldValueLanguage
dc.contributor.authorAltunişik, Ahmet Can-
dc.contributor.authorBayraktar, Alemdar-
dc.contributor.authorSevim, Barış-
dc.date.accessioned2012-11-30T07:12:19Z-
dc.date.available2012-11-30T07:12:19Z-
dc.date.issued2012-10-
dc.identifier.issn0975-1017 (Online); 0971-4588 (Print)-
dc.identifier.urihttp://hdl.handle.net/123456789/15160-
dc.description320-330en_US
dc.description.abstractIn this study, dynamic characteristics of a laboratory bridge model are determined by operational modal analysis using frequency and time domain methods. For this purpose, a reinforced box girder concrete bridge model is constructed in laboratory conditions. The bridge deck consists of a main span of 3 m and two side span of 1.5 m each. The structural system of the model bridge consists of deck, piers and foundation. The total length of bridge deck is 6 m and width of bridge deck is 60 cm. Ambient vibration tests are conducted to the model bridge to identify its natural frequencies, mode shapes and damping ratios. Natural excitations such as wind and impact hammer are used to vibrate the model bridge. Vibration data is gathered from bridge deck. Measurement time, frequency span and effective mode number are determined by consider similar studies in literature. Sensitivity accelerometers are placed to collect signals from the measurements. The signals collected from the tests are processed by operational modal analysis; and the dynamic characteristics of the bridge model are estimated using enhanced frequency domain decomposition (EFDD) method in the frequency domain and stochastic subspace identification (SSI) method in the time domain. The dynamic characteristics obtained from both methods are found to be close to each other. Maximum 2.68% differences are obtained between natural frequencies for the first mode. Modal assurance criteria values are between 0.85-1.00. This shows that EFDD and SSI results are almost overlapped. It can be concluded that the both of enhanced frequency domain decomposition and stochastic subspace identification methods are very useful to identify the dynamic characteristics of the bridge model. en_US
dc.language.isoen_USen_US
dc.publisherNISCAIR-CSIR, Indiaen_US
dc.rights CC Attribution-Noncommercial-No Derivative Works 2.5 Indiaen_US
dc.sourceIJEMS Vol.19(5) [October 2012]en_US
dc.subjectBridge modelen_US
dc.subjectDynamic characteristicen_US
dc.subjectEnhanced frequency domain decompositionen_US
dc.subjectHighway bridgeen_US
dc.subjectOperational modal analysisen_US
dc.subjectStochastic subspace identificationen_US
dc.titleOperational modal analysis of a scaled bridge model using EFDD and SSI methodsen_US
dc.typeArticleen_US
Appears in Collections:IJEMS Vol.19(5) [October 2012]

Files in This Item:
File Description SizeFormat 
IJEMS 19(5) 320-330.pdf700.89 kBAdobe PDFView/Open


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