Correlation and Modal Analysis Techniques for the Study of the VIV Response of a Twin-Box Deck Based on 3D LES Simulations

UDC.coleccionInvestigación
UDC.departamentoConstrucións e Estruturas Arquitectónicas, Civís e Aeronáuticas
UDC.endPage1883
UDC.grupoInvMecánica de Estruturas (ME)
UDC.institutoCentroCITEEC - Centro de Innovación Tecnolóxica en Edificación e Enxeñaría Civil
UDC.issue6
UDC.journalTitleMeccanica
UDC.startPage1851
UDC.volume60
dc.contributor.authorÁlvarez Naveira, Antonio José
dc.contributor.authorNieto Mouronte, Félix
dc.date.accessioned2026-08-19T09:35:06Z
dc.date.available2026-08-19T09:35:06Z
dc.date.issued2025
dc.description.abstract[Abstract]: Twin-box decks are prone to vortex-induced vibration (VIV) at moderate wind speeds, and previous studies have shown a complex interplay between the flow and the two parallel box girders. OpenFOAM is used to model the aerodynamic and aeroelastic responses of the twin-box deck of the Stonecutters Bridge by means of 3D LES simulations. Two cases are thoroughly analysed under smooth incoming flow: (i) static deck and ii) heave peak amplitude response at VIV excitation. The computational data provided by the CFD simulations have been exploited aiming at better understanding the complex aerodynamic and aeroelastic phenomena taking place. First, spanwise correlation analyses are applied to understand the level of organisation of the forcing flow actions, and identify the regions of the deck affected by different flow structures. Second, three different mode decomposition techniques (POD, SPOD and DMD) are applied to the time-dependent pressure distributions, revealing the pivotal role played by the leeward box in the twin-box deck response under wind action. The modal analyses are of utmost interest in the development of Reduced Order Models (ROM) for the VIV response of twin-box long-span bridges.
dc.description.sponsorshipOpen Access funding provided thanks to the CRUE-CSIC agreement with Springer Nature. This research has been funded by the Spanish Ministry of Economy and Competitiveness in the frame of the research project with reference PID2019-110786GB-I00 and the Galician regional government with references ED431C 2021/33. The first author has also been funded by the Galician regional government through a postdoctoral scholarship with reference ED481B-2021-133. Funding for open access charge: Universidade da Coruña/CISUG.
dc.description.sponsorshipXunta de Galicia; ED481B-2021-133
dc.description.sponsorshipXunta de Galicia; ED431C 2021/33
dc.description.sponsorshipFinanciado para publicación en acceso aberto: Universidade da Coruña/CISUG
dc.identifier.citationÁlvarez, A.J., Nieto, F. Correlation and modal analysis techniques for the study of the VIV response of a twin-box deck based on 3D LES simulations. Meccanica 60, 1851–1883 (2025). https://doi.org/10.1007/s11012-024-01774-6
dc.identifier.doi10.1007/s11012-024-01774-6
dc.identifier.issn0025-6455
dc.identifier.issn1572-9648
dc.identifier.urihttps://hdl.handle.net/2183/49050
dc.language.isoeng
dc.publisherSpringer
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 AEROELASTICOS
dc.relation.urihttps://doi.org/10.1007/s11012-024-01774-6
dc.rightsAttribution 4.0 Internationalen
dc.rights.accessRightsopen access
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectVIV
dc.subject3D LES
dc.subjectCorrelations
dc.subjectPOD
dc.subjectSPOD
dc.subjectDMD
dc.titleCorrelation and Modal Analysis Techniques for the Study of the VIV Response of a Twin-Box Deck Based on 3D LES Simulations
dc.typejournal article
dc.type.hasVersionVoR
dspace.entity.typePublication
relation.isAuthorOfPublication74c1b663-1675-4374-a367-024120d8a8ee
relation.isAuthorOfPublication5aac114c-b4de-4465-a6b8-2c65324366a9
relation.isAuthorOfPublication.latestForDiscovery74c1b663-1675-4374-a367-024120d8a8ee

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