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A global-local meta-modelling technique for model updating

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dc.affiliation.dptoUC3M. Departamento de Ingeniería Aeroespaciales
dc.contributor.authorDessena, Gabriele
dc.contributor.authorIgnatyev, Dmitry I.
dc.contributor.authorWhidborne, James F.
dc.contributor.authorZanotti Fragonara, Luca
dc.date.accessioned2024-01-15T11:13:01Z
dc.date.available2024-01-15T11:13:01Z
dc.date.issued2024-01-01
dc.description.abstractThe finite element model updating procedure of large or complex structures is challenging for engineering practitioners and researchers. Iterative methods, such as genetic algorithms and response surface models, have a high computational burden for these problems. This work introduces an enhanced version of the well-known Efficient Global Optimisation technique to address this issue. The enhanced method, refined Efficient Global Optimisation or rEGO, exploits a two-step refinement and selection technique to expand the global search capability of the original method to a global–local, or hybrid, search capability. rEGO is tested and validated on four optimisation test functions against the original methods and genetic algorithms with different settings. Good results in terms of precision and computational performance are achieved, so an application for model updating is sought. A penalty function for the finite element model updating is identified in residuals of the modified total modal assurance criterion. Finally, rEGO for finite element model updating is implemented on a hybrid, numerical and experimental, case study based on a well-known experimental dataset and on a higher dimension finite element model of a wing spar. Satisfactory results in terms of precision and computational performance are achieved when compared to the original methods and genetic algorithms, needing two orders of magnitude fewer evaluations and achieving comparable results in terms of precision.en
dc.description.sponsorshipThe authors disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This work was supported by the Engineering and Physical Sciences Research Council (EPSRC), UK [grant number 2277626].en
dc.format.extent21es
dc.identifier.bibliographicCitationDessena, G., Ignatyev, D. I., Whidborne, J. F., & Zanotti Fragonara, L. (2024). A global–local meta-modelling technique for model updating. Computer Methods in Applied Mechanics and Engineering, 418(116511).en
dc.identifier.doihttps://doi.org/10.1016/j.cma.2023.116511
dc.identifier.issn0045-7825
dc.identifier.publicationfirstpage1es
dc.identifier.publicationlastpage21es
dc.identifier.publicationtitleComputer Methods in Applied Mechanics and Engineeringen
dc.identifier.publicationvolumeVolume 418, Part Aen
dc.identifier.urihttps://hdl.handle.net/10016/39225
dc.identifier.uxxiAR/0000033416
dc.language.isoengen
dc.publisherElsevieren
dc.rights© 2023 The Author(s). Published by Elsevier B.V.en
dc.rightsThis is an open access article under the CC BY license.en
dc.rightsAtribución 3.0 España*
dc.rights.accessRightsopen accessen
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.subject.ecienciaAeronáuticaes
dc.subject.otherKrigingen
dc.subject.otherModel updatingen
dc.subject.otherMTMACen
dc.subject.otherStructural health monitoringen
dc.subject.otherDamage detectionen
dc.subject.otherOptimisationen
dc.titleA global-local meta-modelling technique for model updatingen
dc.typeresearch articleen
dc.type.hasVersionVoRen
dspace.entity.typePublication
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