Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/102435
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dc.contributorDepartment of Civil and Environmental Engineering-
dc.creatorXia, Qen_US
dc.creatorXia, Yen_US
dc.creatorWan, HPen_US
dc.creatorZhang, Jen_US
dc.creatorRen, WXen_US
dc.date.accessioned2023-10-26T07:18:25Z-
dc.date.available2023-10-26T07:18:25Z-
dc.identifier.issn1545-2255en_US
dc.identifier.urihttp://hdl.handle.net/10397/102435-
dc.language.isoenen_US
dc.publisherJohn Wiley & Sonsen_US
dc.rights© 2020 John Wiley & Sons, Ltd.en_US
dc.rightsThis is the peer reviewed version of the following article: Xia, Q, Xia, Y, Wan, H-P, Zhang, J, Ren, W-X. Condition analysis of expansion joints of a long-span suspension bridge through metamodel-based model updating considering thermal effect. Struct Control Health Monit. 2020; 27(5):e2521, which has been published in final form at https://doi.org/10.1002/stc.2521. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions. This article may not be enhanced, enriched or otherwise transformed into a derivative work, without express permission from Wiley or by statutory rights under applicable legislation. Copyright notices must not be removed, obscured or modified. The article must be linked to Wiley’s version of record on Wiley Online Library and any embedding, framing or otherwise making available the article or pages thereof by third parties from platforms, services and websites other than Wiley Online Library must be prohibited.en_US
dc.subjectBoundary stiffnessen_US
dc.subjectExpansion jointsen_US
dc.subjectGaussian process metamodelen_US
dc.subjectStructural health monitoringen_US
dc.subjectThermal effecten_US
dc.titleCondition analysis of expansion joints of a long-span suspension bridge through metamodel-based model updating considering thermal effecten_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume27en_US
dc.identifier.issue5en_US
dc.identifier.doi10.1002/stc.2521en_US
dcterms.abstractExpansion joints of bridges are vulnerable to damage due to the thermal expansion and contraction, vehicle traffic, and so forth. Currently, the temperature–displacement relationship model may be the only qualitative method for condition evaluation of bridge expansion joints using the field monitoring data. The quantitative assessment based on the finite element model updating techniques is heavy computational burden and time consuming. Therefore, a Gaussian process (GP) metamodel-based model updating method is proposed in this study and performed for the quantitative identification on the boundary condition of the expansion joints of Jiangyin Suspension Bridge using the long-term displacement and temperature monitoring data. At first, the relationship between the longitudinal boundary stiffness (LBS) and structural temperature is formulated on the basis of thermal effects of the bridge deck. The range of LBS is approximately estimated by the regression coefficients from 1-year monitoring data and is used as initial bounds for the subsequent model updating procedure. The GP metamodel is formulated to map the relationship between the LBS and the longitudinal displacements under the thermal effects. The LBS identification of the Jiangyin Suspension Bridge is performed within the fast-running GP metamodel. The results show that the longitudinal displacements using the updated LBS are in good agreement with the measurements, which verifies the effectiveness of GP metamodel-based model updating method in identifying the LBS of the long-span suspension bridge.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationStructural control and health monitoring, May 2020, v. 27, no. 5, e2521en_US
dcterms.isPartOfStructural control and health monitoringen_US
dcterms.issued2020-05-
dc.identifier.scopus2-s2.0-85079405882-
dc.identifier.eissn1545-2263en_US
dc.identifier.artne2521en_US
dc.description.validate202310 bcch-
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumberCEE-0891-
dc.description.fundingSourceRGCen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextNational Natural Science Foundation of Chinaen_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS15839949-
dc.description.oaCategoryGreen (AAM)en_US
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