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Modeliranje ponašanja pilona mosta na probno opterećenje primjenom regresijske analize kao linearan i nelinearan proces

dc.creatorMilovanović, B.
dc.creatorMišković, Zoran
dc.creatorGospavić, Zagorka
dc.creatorVulić, M.
dc.date.accessioned2019-04-19T14:16:52Z
dc.date.available2019-04-19T14:16:52Z
dc.date.issued2011
dc.identifier.issn0016-710X
dc.identifier.urihttps://grafar.grf.bg.ac.rs/handle/123456789/374
dc.description.abstractThis paper presents the procedure for dynamic system identification regarding behaviour of bridge pylon for test load, and the numeric example had been illustrated by examination of "Sloboda" bridge in Novi Sad. Since pylon shifts, occurred during test load, were long-period in nature, static GPS method had been applied for measurements. To identify dynamic process of the construction, auto-regression model with external input (ARX) had been selected. The process had been approximated as linear and non-linear. Establishing model degree had been performed by autocorrelation function and parameter significance test. It had shown that the shifts of pylon along the longitudinal axis of the bridge, occurring due to the load action, must be described as a result of non-linear process; while shifts, occurring orthogonal to longitudinal axis of the bridge, occurring due to the temperature change, are the result of linear process. Model fitting was also analyzed, observing the pylon as both rigid and deformable body. Higher percentage of fitting (alignment) had been achieved when the construction had been viewed as a deformable body.en
dc.rightsrestrictedAccess
dc.sourceGeodetski list
dc.subjectDynamic systems identificationen
dc.subjectLinear and non-linear processen
dc.subjectPylonen
dc.subjectRegression analysisen
dc.titleModelling behaviour of bridge pylon for test load using regression analysis with linear and non-linear processen
dc.titleModeliranje ponašanja pilona mosta na probno opterećenje primjenom regresijske analize kao linearan i nelinearan procesSR
dc.typearticle
dc.rights.licenseARR
dc.citation.epage220
dc.citation.issue3
dc.citation.other65(3): 205-220
dc.citation.rankM23
dc.citation.spage205
dc.citation.volume65
dc.identifier.rcubhttps://hdl.handle.net/21.15107/rcub_grafar_374
dc.identifier.scopus2-s2.0-84857712172
dc.type.versionpublishedVersion


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