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dc.citation.endPage 2338 -
dc.citation.number 11 -
dc.citation.startPage 2323 -
dc.citation.title JOURNAL OF SOUND AND VIBRATION -
dc.citation.volume 333 -
dc.contributor.author Jin, Seung-Seop -
dc.contributor.author Cho, Soojin -
dc.contributor.author Jung, Hyung-Jo -
dc.contributor.author Lee, Jong-Jae -
dc.contributor.author Yun, Chung Bang -
dc.date.accessioned 2023-12-22T02:41:59Z -
dc.date.available 2023-12-22T02:41:59Z -
dc.date.created 2014-02-24 -
dc.date.issued 2014-05 -
dc.description.abstract The single objective function (SOF) has been employed for the optimization process in the conventional finite element (FE) model updating. The SOF balances the residual of multiple properties (e.g., modal properties) using weighting factors, but the weighting factors are hard to determine before the run of model updating. Therefore, the trial-and-error strategy is taken to find the most preferred model among alternative updated models resulted from varying weighting factors. In this study, a new approach to the FE model updating using the multi-objective function (MOF) is proposed to get the most preferred model in a single run of updating without trial-and-error. For the optimization using the MOF, non-dominated sorting genetic algorithm-II (NSGA-II) is employed to find the Pareto optimal front. The bend angle related to the trade-off relationship of objective functions is used to select the most preferred model among the solutions on the Pareto optimal front. To validate the proposed approach, a highway bridge is selected as a test-bed and the modal properties of the bridge are obtained from the ambient vibration test. The initial FE model of the bridge is built using SAP2000. The model is updated using the identified modal properties by the SOF approach with varying the weighting factors and the proposed MOF approach. The most preferred model is selected using the bend angle of the Pareto optimal front, and compared with the results from the SOF approach using varying the weighting factors. The comparison shows that the proposed MOF approach is superior to the SOF approach using varying the weighting factors in getting smaller objective function values, estimating better updated parameters, and taking less computational time. -
dc.identifier.bibliographicCitation JOURNAL OF SOUND AND VIBRATION, v.333, no.11, pp.2323 - 2338 -
dc.identifier.doi 10.1016/j.jsv.2014.01.015 -
dc.identifier.issn 0022-460X -
dc.identifier.scopusid 2-s2.0-84896727819 -
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/4064 -
dc.identifier.wosid 000333858700003 -
dc.language 영어 -
dc.publisher ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD -
dc.title A new multi-objective approach to finite element model updating -
dc.type Article -
dc.description.isOpenAccess FALSE -
dc.relation.journalWebOfScienceCategory Acoustics; Engineering, Mechanical; Mechanics -
dc.relation.journalResearchArea Acoustics; Engineering; Mechanics -
dc.description.journalRegisteredClass scie -
dc.description.journalRegisteredClass scopus -

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