Computational Techniques for Novel Design of Long-Span Bridges Considering Aeroelastic Phenomena

UDC.coleccionInvestigaciónes_ES
UDC.conferenceTitleStructures Congress 2020es_ES
UDC.departamentoConstrucións e Estruturas Arquitectónicas, Civís e Aeronáuticases_ES
UDC.endPage782es_ES
UDC.grupoInvMecánica de Estruturas (ME)es_ES
UDC.institutoCentroCITEEC - Centro de Innovación Tecnolóxica en Edificación e Enxeñaría Civiles_ES
UDC.startPage767es_ES
dc.contributor.authorCid Montoya, Miguel
dc.contributor.authorNieto Mouronte, Félix
dc.contributor.authorHernández, Santiago
dc.contributor.authorKareem, Ahsan
dc.contributor.authorDing, Fei
dc.date.accessioned2020-04-23T09:25:13Z
dc.date.available2020-04-23T09:25:13Z
dc.date.issued2020
dc.descriptionStructures Congress 2020. 5-8 abril, 2020. St. Louis, Missouries_ES
dc.description.abstract[Abstract] Optimization techniques have demonstrated their capability to obtain economic and sustainable designs while meeting the performance and safety requirements in a number of engineering disciplines. In the bridge engineering field, the increasing main span length of super-long span bridges makes the wind-resistant design a top priority. However, it has been traditionally conducted following heuristic rules based on experimental analyses. Alternatively, the last advances in CFD and metamodeling techniques enables the development of optimization frameworks. The right conception of the aerostructural optimization problem is crucial to achieve noticeable reductions in the required amount of material and comprehensive safe designs. This paper reports the last advances in the authors’ line of research that pursues the definition of a numerical methodology for the full aerostructural optimization of long-span bridges considering shape and size design variables. The capabilities of the method are presented, and the necessity of considering uncertainty in the process is discussed.es_ES
dc.description.sponsorshipThis research has been funded by the Spanish Ministry of Economy and Competitiveness in the frame of the research project with reference BIA2016-76656-R, and the Galician regional government, including FEDER funding, with reference ED431C 2017/72. M. Cid Montoya is funded by the Galician regional government with reference ED481B 2018/053 and the Fulbright postdoctoral scholarship program. A. Kareem especially thanks NSF support under grant CMMI #1612843. Fei Ding is supported by a grant from the Center for Informatics and Computational Scienceses_ES
dc.description.sponsorshipXunta de Galicia; ED431C 2017/72es_ES
dc.description.sponsorshipXunta de Galicia; ED481B 2018/053es_ES
dc.description.sponsorshipEEUU. National Sanitation Foundation (NSF); CMMI #1612843es_ES
dc.identifier.citationComputational Techniques for Novel Design of Long-Span Bridges Considering Aeroelastic Phenomena. Miguel Cid Montoya, Félix Nieto, Santiago Hernández, Ahsan Kareem, and Fei Ding. Structures Congress 2020, p. 767-782. 2020.es_ES
dc.identifier.doi10.1061/9780784482896.070
dc.identifier.urihttp://hdl.handle.net/2183/25408
dc.language.isoenges_ES
dc.publisherASCEes_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/BIA2016-76656-R/ES/FORMULACION COMPUTACIONAL DE OPTIMIZACION ESTRUCTURAL Y AEROELASTICA DE TABLEROS DE DOBLE CAJON EN PUENTES DE GRAN VANO CON FLUJO TURBULENTO E INCERTIDUMBRES MECANICAS/
dc.relation.urihttps://doi.org/10.1061/9780784482896.070es_ES
dc.rightsCopyright ASCE. Só para uso persoal, todos os dereitos reservados.es_ES
dc.rights.accessRightsopen accesses_ES
dc.subjectAeroelasticityes_ES
dc.subjectSafetyes_ES
dc.subjectBridge engineeringes_ES
dc.subjectWind engineeringes_ES
dc.subjectSpan bridgeses_ES
dc.subjectSustainable developmentes_ES
dc.subjectOptimization modelses_ES
dc.subjectBridge designes_ES
dc.titleComputational Techniques for Novel Design of Long-Span Bridges Considering Aeroelastic Phenomenaes_ES
dc.typejournal articlees_ES
dspace.entity.typePublication
relation.isAuthorOfPublication090fe147-b124-4ba6-842a-bd28540fd120
relation.isAuthorOfPublication5aac114c-b4de-4465-a6b8-2c65324366a9
relation.isAuthorOfPublication129a7f0b-20d3-4151-91c8-20268b326067
relation.isAuthorOfPublication.latestForDiscovery090fe147-b124-4ba6-842a-bd28540fd120

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Cid-Computational-techniques_2020.pdf
Size:
1.44 MB
Format:
Adobe Portable Document Format
Description: