Assessment of the Aerodynamic and Aeroelastic Performance of Long-Span Twin-Box Bridges Based upon Multidimensional Surrogate Models

UDC.coleccionInvestigaciónes_ES
UDC.departamentoConstrucións e Estruturas Arquitectónicas, Civís e Aeronáuticases_ES
UDC.grupoInvMecánica de Estruturas (ME)es_ES
UDC.institutoCentroCITEEC - Centro de Innovación Tecnolóxica en Edificación e Enxeñaría Civiles_ES
UDC.journalTitleApplied Scienceses_ES
UDC.startPage5531es_ES
UDC.volume14es_ES
dc.contributor.authorBadhurshah, Rameez
dc.contributor.authorÁlvarez Naveira, Antonio José
dc.contributor.authorNieto Mouronte, Félix
dc.contributor.authorJurado, José Ángel
dc.contributor.authorHernández, Santiago
dc.date.accessioned2024-07-02T13:18:11Z
dc.date.available2024-07-02T13:18:11Z
dc.date.issued2024
dc.description.abstract[Abstract:] Twin-box decks are being extensively used in the design of long-span bridges due to their superior flutter performance. Although the significant role played by the gap distance has been previously addressed in the frame of experimental studies, there is still a lack of understanding about the complex interplay between box geometry, gap distance and the aerodynamic force coefficients and flutter derivatives. In the present work, firstly, a surrogate model is developed, considering three design inputs for the geometry of the deck along with the angle of attack, providing the force coefficients as output. Afterwards, the work is then extended by developing another surrogate model, considering as inputs the reduced velocity and the same geometric variables of the deck, with the outputs being the flutter derivatives. The methodology, comprising the selection of the design domain, the definition of the samples, the CFD-based evaluation of the samples' response and the construction of the surrogate through the application of the neural network-based radial basis method, is reviewed. The surrogate models enable a quantitative description of the impact caused in the force coefficients and the flutter derivatives by modifications in the geometry of the twin-box deck. It has been found that flutter derivatives H∗1 , H∗2 and A∗2 are strongly dependent on the gap distance.es_ES
dc.description.sponsorshipThis research has been supported by the grant PID2019-110786GB-I00 and the grant PID2022-138069OB-I00, funded by Ministry for Science and Innovation of Spain MICIU/AEI/10.13039/501100011033 and, by “ERDF A way of making Europe”, along with the grant ED431C 2021/33 funded by the Galician Regional Government, including FEDER funds.es_ES
dc.description.sponsorshipXunta de Galicia; ED431C 2021/33es_ES
dc.identifier.citationBadhurshah, R.; Álvarez, A.J.; Nieto, F.; Jurado, J.Á.; Hernández, S. Assessment of the Aerodynamic and Aeroelastic Performance of Long-Span Twin-Box Bridges Based upon Multidimensional Surrogate Models. Appl. Sci. 2024, 14, 5531. https://doi.org/10.3390/app14135531es_ES
dc.identifier.doi10.3390/app14135531
dc.identifier.urihttp://hdl.handle.net/2183/37641
dc.language.isoenges_ES
dc.publisherMDPIes_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-110786GB-I00/ES/OPTIMIZACION DE FORMA Y ANALISIS DE SEGURIDAD COMPUTACIONAL Y AEROESTRUCTURAL DE TABLEROS DE PUENTES DE CABLES DE GRAN VANO CONSIDERANDO MULTIPLES FENOMENOS AEROELASTICOSes_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2022-138069OB-I00/ES/OPTIMIZACION PROBABILISTA DE PUENTES DE GRAN VANO SOPORTADOS POR CABLES, DE TABLEROS MULTI-CAJON, EN FLUJO DE VIENTO LAMINAR Y TURBULENTO CON MULTIPLES VARIABLES ALEATORIASes_ES
dc.relation.urihttps://doi.org/10.3390/app14135531es_ES
dc.rightsAtribución 3.0 Españaes_ES
dc.rights.accessRightsopen accesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.subjectTwin-boxes_ES
dc.subjectSurrogate modellinges_ES
dc.subjectCFDes_ES
dc.subjectLatin Hypercube Samplinges_ES
dc.subjectRadial basises_ES
dc.subjectFlutteres_ES
dc.subjectURANSes_ES
dc.subjectk-ω SSTes_ES
dc.titleAssessment of the Aerodynamic and Aeroelastic Performance of Long-Span Twin-Box Bridges Based upon Multidimensional Surrogate Modelses_ES
dc.typejournal articlees_ES
dspace.entity.typePublication
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relation.isAuthorOfPublication.latestForDiscovery74c1b663-1675-4374-a367-024120d8a8ee

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