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Article: Bridge Surface Roughness Identification Based on Vehicle–Bridge Interaction

TitleBridge Surface Roughness Identification Based on Vehicle–Bridge Interaction
Authors
KeywordsBridge
finite element method
surface roughness profile
vehicle–bridge interaction
Issue Date2019
PublisherWorld Scientific Publishing Co Pte Ltd. The Journal's web site is located at http://www.worldscinet.com/ijssd/ijssd.shtml
Citation
International Journal of Structural Stability and Dynamics, 2019, v. 19 n. 7, p. article no. 1950069 How to Cite?
AbstractAs the surface roughness of a bridge has significant influence on the interaction between a moving vehicle and the bridge itself, it is one of the hurdles for the use of drive-by technique in the assessment of bridges. Proper identification of the surface roughness of a bridge will help minimize the associated uncertainties and improve the accuracy of numerical simulation. This paper presents a method for estimating the surface roughness profile from the responses extracted from a vehicle instrumented with accelerometers passing on the bridge tested. By letting the vehicle run along the bridge multiple times with different added masses, an estimation of the roughness profile can be obtained based on the vehicle-bridge interaction theory. No baseline data is required. Three simplified vehicle models have been used in this study, i.e. spring-mass model, spring-damper-mass model and half-vehicle model. The feasibility and effectiveness of this method are evaluated by finite element simulation with a simply supported bridge and a continuous bridge. The performance of this method for different levels of road surface roughness is assessed by suitable error indicators. A parametric study about the influence of vehicle and bridge parameters, measurement noise and structural damage on the identified results have been carried out.
Persistent Identifierhttp://hdl.handle.net/10722/274882
ISSN
2021 Impact Factor: 2.957
2020 SCImago Journal Rankings: 0.648
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorZHAN, Y-
dc.contributor.authorAu, FTK-
dc.date.accessioned2019-09-10T02:30:51Z-
dc.date.available2019-09-10T02:30:51Z-
dc.date.issued2019-
dc.identifier.citationInternational Journal of Structural Stability and Dynamics, 2019, v. 19 n. 7, p. article no. 1950069-
dc.identifier.issn0219-4554-
dc.identifier.urihttp://hdl.handle.net/10722/274882-
dc.description.abstractAs the surface roughness of a bridge has significant influence on the interaction between a moving vehicle and the bridge itself, it is one of the hurdles for the use of drive-by technique in the assessment of bridges. Proper identification of the surface roughness of a bridge will help minimize the associated uncertainties and improve the accuracy of numerical simulation. This paper presents a method for estimating the surface roughness profile from the responses extracted from a vehicle instrumented with accelerometers passing on the bridge tested. By letting the vehicle run along the bridge multiple times with different added masses, an estimation of the roughness profile can be obtained based on the vehicle-bridge interaction theory. No baseline data is required. Three simplified vehicle models have been used in this study, i.e. spring-mass model, spring-damper-mass model and half-vehicle model. The feasibility and effectiveness of this method are evaluated by finite element simulation with a simply supported bridge and a continuous bridge. The performance of this method for different levels of road surface roughness is assessed by suitable error indicators. A parametric study about the influence of vehicle and bridge parameters, measurement noise and structural damage on the identified results have been carried out.-
dc.languageeng-
dc.publisherWorld Scientific Publishing Co Pte Ltd. The Journal's web site is located at http://www.worldscinet.com/ijssd/ijssd.shtml-
dc.relation.ispartofInternational Journal of Structural Stability and Dynamics-
dc.rightsFor preprints : Preprint of an article published in [Journal, Volume, Issue, Year, Pages] [Article DOI] © [copyright World Scientific Publishing Company] [Journal URL] For postprints : Electronic version of an article published as [Journal, Volume, Issue, Year, Pages] [Article DOI] © [copyright World Scientific Publishing Company] [Journal URL]-
dc.subjectBridge-
dc.subjectfinite element method-
dc.subjectsurface roughness profile-
dc.subjectvehicle–bridge interaction-
dc.titleBridge Surface Roughness Identification Based on Vehicle–Bridge Interaction-
dc.typeArticle-
dc.identifier.emailAu, FTK: francis.au@hku.hk-
dc.identifier.authorityAu, FTK=rp00083-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1142/S021945541950069X-
dc.identifier.scopuseid_2-s2.0-85064078357-
dc.identifier.hkuros304402-
dc.identifier.volume19-
dc.identifier.issue7-
dc.identifier.spagearticle no. 1950069-
dc.identifier.epagearticle no. 1950069-
dc.identifier.isiWOS:000473147000003-
dc.publisher.placeSingapore-
dc.identifier.issnl0219-4554-

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