Multi-level and multi-objective structural optimization for hypersonic vehicle design

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.journalTitleAerospace Science and Technologyes_ES
UDC.startPage109346es_ES
UDC.volume152es_ES
dc.contributor.authorRodríguez-Segade, Miguel
dc.contributor.authorHernández, Santiago
dc.contributor.authorDíaz, J.
dc.date.accessioned2025-03-05T17:47:14Z
dc.date.available2025-03-05T17:47:14Z
dc.date.issued2024
dc.descriptionFinanciado para publicación en acceso aberto: Universidade da Coruña/CISUGes_ES
dc.description.abstract[Abstract:] This research introduces a novel methodology for optimizing the structural design of a full-scale hypersonic aircraft, integrating a multifaceted approach across different levels of modelling detail to enhance a variety of performance metrics. The proposed approach is capable of reduce the vehicle mass, while meeting the necessary operational requirements and maintaining an acceptable computational cost. The methodology, based on a coupled bi-level size optimization and denoted as single-objective bi-level optimization (SOBLO), is applied to the passenger cabin of the STRATOFLY MR3 hypersonic cruiser vehicle. This results in a substantial reduction in the baseline concept design weight, estimated to be more than half on average. The procedure is extended to incorporate a multi-objective optimization approach (MOBLO), which generates a Pareto frontier that provides significant information for selecting the optimal trade-off design, considering manufacturability constraints. The outcomes underscore the efficacy of the proposed methodology and highlight its usefulness in sizing complex aircraft configurations, particularly under the demanding loads imposed by a hypersonic flight regime. This approach has the potential to improve the overall production process and enable designers to attain feasible structural design solutions during early stages of development.es_ES
dc.description.sponsorshipThe research leading to these results has been conducted under European Union's Horizon 2020 grant agreement EC-H2020-769246 and under Spanish Government grant PID2019-108307RB-I00 funded by MCIN/AEI/10.13039/501100011033. The authors also acknowledge funding received from the Galician Government through research grant ED431C2021/33. Funding for open access charge: Universidade da Coruña/CISUG.es_ES
dc.description.sponsorshipXunta de Galicia; ED431C2021/33es_ES
dc.identifier.citationMiguel Rodríguez-Segade, Santiago Hernández, Jacobo Díaz. (2024). Multi-level and multi-objective structural optimization for hypersonic vehicle design, Aerospace Science and Technology, 152, 109346, https://doi.org/10.1016/j.ast.2024.109346es_ES
dc.identifier.doi10.1016/j.ast.2024.109346
dc.identifier.urihttp://hdl.handle.net/2183/41303
dc.language.isoenges_ES
dc.publisherElsevieres_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/769246es_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-108307RB-I00/ES/OPTIMIZACION PROBABILISTA FRENTE A IMPACTO Y TOLERANTE A DAÑOS DE ESTRUCTURAS DE FUSELAJE DE NUEVA GENERACIONes_ES
dc.relation.urihttps://doi.org/10.1016/j.ast.2024.109346es_ES
dc.rightsAtribuciónes_ES
dc.rights.accessRightsopen accesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.subjectHypersonic aircraftes_ES
dc.subjectCoupled single-objective bi-level optimization (SOBLO)es_ES
dc.subjectSTRATOFLY MR3es_ES
dc.subjectHypersonic cruiser vehiclees_ES
dc.subjectMulti-objective optimization approach (MOBLO)es_ES
dc.titleMulti-level and multi-objective structural optimization for hypersonic vehicle designes_ES
dc.typejournal articlees_ES
dspace.entity.typePublication
relation.isAuthorOfPublication129a7f0b-20d3-4151-91c8-20268b326067
relation.isAuthorOfPublicationd8b9308d-cb23-4e26-a6c3-091c6d957fca
relation.isAuthorOfPublication.latestForDiscovery129a7f0b-20d3-4151-91c8-20268b326067

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